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
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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...
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