2results about How to "Enable leak detection" patented technology

A flexible composite pipe integrating heat insulation and intelligent tracking functions, and its manufacturing equipment, relates to the field of flexible composite pipe production and manufacturing technology. The flexible composite pipe includes, from the inside out, an inner lining layer, a reinforcing layer, an inner protective layer, a heat insulation layer, a wrapping layer, and an outer protective layer. The reinforcing layer is woven from reinforcing fiber tapes. The weaving equipment used is a reinforcing fiber weaving device, including a warp pay-off spool, a warp guide rod, a warp tape, a weft pay-off ring, and a weft tape. The warp guide rod swings radially in the warp pay-off spool. The weft pay-off ring has a notch in the circumferential direction. Each time the weft pay-off ring rotates, the notch aligns with each warp guide rod. Each alignment causes the warp guide rod to swing from one extreme position to another through the notch. The weft tape rotates circumferentially around the composite pipe. The interweaving between the warp tape and the weft tape forms a weave, creating a mesh-like reinforcing layer. This invention uses the weaving of strip-shaped reinforcing fibers, which is significantly more efficient than the weaving of linear reinforcing fibers.

The invention relates to a side channel leakage detection method and device based on Frobenius distance similarity, and belongs to the technical field of information. The method comprises the following steps: calculating a correlation coefficient between each power consumption sequence in a power consumption curve segment and an overall power consumption sequence, and adding a weight determined by the correlation coefficient into the power consumption curve segment to form a weighted curve segment; dividing the weighted curve segment into weighting matrixes corresponding to a fixed plaintext and a random plaintext, and calculating a Frobenius distance between the weighting matrix of the fixed plaintext and the weighting matrix of the random plaintext; whether similarity exists between the two power consumption curve segments or not is judged according to the relation between the Frobenius distance between the two fixed plaintext weighting matrixes and the random plaintext weighting matrix and the distance threshold value, and then leakage detection is achieved. According to the method, the related information between the sequences is added in the detection of the sequence related power consumption curve segment, and the weighted curve segment is obtained through the related information, so that the available information amount for detection is increased, the detection efficiency is improved, and the problem of missing detection caused by limited sample size in the TVLA technology is solved.