A blockchain-based distributed data management system and method

A technology of distributed data and management system, applied in the fields of electrical digital data processing, instruments, error detection/correction, etc., can solve the problems of no management, inability to organize duplicate data, and too many duplicate invalid data, etc., to improve the efficiency of data management Effect

Active Publication Date: 2021-09-07
深圳市云计算科技有限公司
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] At present, the device access management platform only needs to send a connection request, and the management platform does not screen non-running devices. Data management is to process the data sent by the device after receiving it, but the data sending by the device often occurs duplication. Data will cause the management platform to fail to organize or not manage the duplicate data directly, which will lead to more and more duplicate and invalid data. This application aims to manage the equipment and avoid non-running equipment from connecting to the management platform. The received data with high similarity is screened and cleaned to improve the efficiency of data management

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A blockchain-based distributed data management system and method
  • A blockchain-based distributed data management system and method
  • A blockchain-based distributed data management system and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0072] Embodiment 1: Limiting conditions, the equipment operating rate analysis sub-module sets the time for monitoring the operating status of different equipment within the preset time to ti ~ tj, sets the operating time of equipment B within the above-mentioned time to 124h, and sets the above-mentioned The downtime of device B within the time period is 78h, among which, the time for each device to be turned on but not to send data is set to 12h, and the operating rate of the device is set to K, according to the formula:

[0073]

[0074] It is calculated that the operating rate of device B that attempts to access the central server is 63.5%, and the operating rate of 63.5% is greater than 50%. The central server responds to the connection attempt request sent by device B.

Embodiment 2

[0075] Embodiment 2: Limiting conditions, the equipment operating rate analysis sub-module sets the time for monitoring the operating status of different equipment within the preset time to ti ~ tj, sets the operating time of equipment B within the above-mentioned time to 92h, and sets the above-mentioned The downtime of device B within the time period is 216h. Among them, the time for each device to be turned on but not to send data is set to 41h, and the operating rate of the device is set to K. According to the formula:

[0076]

[0077] It is calculated that the operating rate of device B that tries to access the central server is 38.1%, and the operating rate of the device is 63.5% less than 50%. The central server rejects the connection attempt sent by device B and no longer accepts the connection request of device B.

Embodiment 3

[0078] Embodiment 3: Limiting conditions, setting the key mark, the data similarity analysis submodule inside the operating equipment A, analyzing the data inside the operating equipment A, dividing the data inside the operating equipment A into segments, and setting the divided segment data as L 1 , L 2 , L 3 , and compare the similarity between the divided segment data. Set the similarity of different pieces of data to 98%, 78%, 41%, set the similarity error rate in each piece of data to 2%, set the actual similarity of each piece of data as R(C n ), according to the formula:

[0079] R1(C n )=98%*(1-2%)≈96%

[0080] R2(C n )=78%*(1-2%)≈76%

[0081] R3(C n )=41%*(1-2%)≈40%

[0082] Calculate the actual similarity of each piece of data in the current device A, when R1(C n )≥93%, extract the two segment data L of which the similarity is compared 1 , L 2 , re-comparison of similarity for three times, set the similarity of the re-comparison to 95%, 94%, 96%, set the a...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a block chain-based distributed data management system and method. The system includes a real-time monitoring module of equipment continuous operation status, a registration module of self-identification information of operating equipment, a central server data management platform, a timing cleaning module of redundant data and The corresponding data real-time feedback module, the real-time monitoring module of the continuous operation status of the equipment is used to monitor the status of the equipment trying to access the central server, and the self-identification information registration module of the operating equipment is used to upload the self-identification of the operating equipment before accessing the central server , the central server data management platform is used to realize real-time data interaction between operating devices, the redundant data timing cleaning module is used to regularly clean redundant data inside the central server, and the corresponding data real-time feedback module is used to perform data information uploaded by the running status Monitoring, feedback on abnormal data, aims to manage equipment and improve data management efficiency.

Description

technical field [0001] The invention relates to the field of distributed management, in particular to a blockchain-based distributed data management system and method. Background technique [0002] As distributed systems grow and resources are dispersed from once centralized domains, the problems of managing hardware, software, users, updates, configuration, and security also diversify. And there is also a synchronization problem related to internal independent system changes. Differences in operating systems, hardware, or protocols further complicate this. [0003] The distributed management system needs to provide the following functions: management of users and their workstation configuration, management of software distribution, update and permission rights, management of hardware monitoring, maintenance and cataloging functions, in addition, the management system should provide methods for collecting network data and storing these data Report to manager. [0004] The...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
IPC IPC(8): G06F11/30
CPCG06F11/3006G06F11/3055G06F11/3072G06F11/3089
Inventor 葛菲
Owner 深圳市云计算科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products