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1844results about How to "Prevent overload" patented technology

Knowledge extraction method and system based on memory neural network and device

The invention relates to the field of knowledge extraction and particularly relates to a knowledge extraction method and system based on a memory neural network and a device. The invention aims to solve the problem of information redundancy existing in the prior art. The method comprises a step of obtaining a possible relationship type in an input text and a semantic coding vector by using a convolutional neural network under the premise of giving a predefined relationship type, a step of carrying out semantic encoding by using a two-way long and short time memory neural network and obtaininga semantic vector, a step of taking the relationship type as an initial value of the two-way long and short time memory network and a first label in a decoding module and thus fusing the relationshiptype information into encoding information and label information of the decoding module, and a step of obtaining a label sequence by using a decoding module of a single-way long and short time memorynetwork and then obtaining structured information by parsing the label sequence. According to the knowledge extraction method and system and the device, the efficiency of structured information extraction is greatly improved, and the problem of information redundancy existing in the prior art is solved.
Owner:INST OF AUTOMATION CHINESE ACAD OF SCI

Pipeline detection robot

InactiveCN104565675ADetect CorrosivityDetect cracksPigs/molesEngineeringMotor controller
The invention relates to a pipeline detection robot. The pipeline detection robot mainly comprises a laser detection mechanism (1), a traction mechanism (2), an electromagnetic ultrasonic detection mechanism (3) and an electronic cabin (4), all of which are connected through connecting hinge shafts; the traction mechanism (1) adopts a single-motor all-drive mode and is driven by a turbo-worm synchronous belt to supply a walking power to the robot; the laser detection mechanism (2) comprises a laser displacement sensor, a rotating arm, a counterweight, a support body and the like and is used for measuring surface corrosion and deformation of a pipeline; the electromagnetic ultrasonic detection mechanism (3) comprises a support assembly, a probe and a fixing plate and is used for measuring the wall thickness and the crack defect of the pipeline; the electronic cabin (4) is used for carrying auxiliary components, such as a stepping motor controller, a servo motor driver, a power supply and an FPGA (Field Programmable Gate Array) control panel. The pipeline detection robot disclosed by the invention can be used for finding the defects, such as pipeline corrosion, cracks and deformation, carrying out in-service detection on an oil and gas pipeline in a working process, carrying out targeted repair, maintenance and replacement according to a detection result, reducing the maintenance cost and guaranteeing safe and stable operation of the oil and gas pipeline.
Owner:BEIJING INSTITUTE OF PETROCHEMICAL TECHNOLOGY
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