The invention relates to the technical field of
digital asset management analysis, in particular to a
digital asset intelligent analysis platform based on a block chain intelligent contract technology. The computing power resource state
coupling module is used for obtaining the saturation degree of computing resources by capturing information of a
task control block and combining the load rate of a processor, and embedding and collecting mapping data streams to generate a management and
control data packet; the abnormal data screening module is used for executing local serial
processing when the saturation degree of the computing resources is lower than an I / O
throughput threshold value, and otherwise,
hardware acceleration is carried out, and a to-be-verified digital sequence is constructed; generating an abrupt change collection
feature vector based on the to-be-verified digital sequence; and the component resume anchoring module is used for carrying out
data binding operation on the abrupt change collection
feature vector, generating a single-piece digital
traceability certificate, carrying out aggregation compression, obtaining a batch
verification root value and outputting a quality
signal digital right. According to the method, a load awareness and distributed storage partitioning strategy is constructed through indexes, and the I / O frequency and
transmission bandwidth occupation of whole
library retrieval are reduced.