5results about How to "Realize synchronous output" patented technology

The utility model relates to a kind of for prothioconazole oxidation synthesis light heavy component automatic separation device, belong to chemical production technical field, including prothioconazole oxidation synthesis component phase tank, mixed liquor regulating valve, light component regulating valve, heavy component regulating valve, flowmeter, mixed liquor regulating valve, light component regulating valve, heavy component regulating valve, flowmeter are all set to prothioconazole oxidation synthesis component phase tank, prothioconazole oxidation synthesis component phase tank is provided with mixed liquor feed inlet, light phase outlet, heavy phase outlet, blow-off, the utility model, optimization tank body structure realizes unpowered high-efficiency separation, reduce equipment cost, improve separation precision and product purity, by phase tank stratification structure optimization, light / heavy phase outlet height difference design and valve control, to effectively reduce entrainment rate, interface height and flow are monitored in real time, dynamically regulate valve opening, when heavy component proportion increases, automatically increase heavy component valve opening, to effectively reduce artificial dependence.

The application discloses a kind of children language cognitive rehabilitation auxiliary system and method based on adaptive co-creation mechanism, belong to medical artificial intelligence and psychological rehabilitation engineering field.The system includes five big core modules, and is connected in the form of data stream closed loop between modules, forms sustainable optimization interactive system, which is by fusing the semantic vector of children voice, emotion vector and task vector, via dynamic weight generation network and cross-modal attention mechanism to construct fusion state vector, and using attention enhanced gated recurrent unit and strategy network to generate co-creation control instruction, and then synthesis interactive voice signal with emotional expressiveness.The application can realize the synchronous fusion and linkage feedback of semantic understanding and emotion recognition, dynamically adjust interactive strategy according to the real-time state of children, and optimize strategy network parameters through online self-learning, improve the naturalness, coherence and individual adaptability of rehabilitation interaction.

The present application relates to the technical field of optical fiber vibration monitoring, in particular to a phase-sensitive optical time domain reflectometry vibration propagation direction determination method and system, comprising obtaining full-line echo in-phase component and quadrature component data; constructing complex echo sequence of each distance gate, and performing self-calibration compensation on the preprocessed phase sequence to obtain the compensated phase sequence; based on the quality index, screening the candidate distance gate, estimating the arrival time delay of each gate pair in the forward gate pair set and constructing gate pair weight, robustly fusing the arrival time delay of each gate pair based on the gate pair weight, constructing the reverse gate pair set corresponding to the forward gate pair set and obtaining the reverse fusion time delay, performing symmetric difference on the forward fusion time delay and the reverse fusion time delay, comparing the unbiased time delay with the preset direction determination threshold, and outputting the consistency index reflecting the consistency degree of multi-gate pair estimation, the present application improves the accuracy and long-term operation consistency of the direction determination result.

The invention discloses a flange production quality screening method and system based on computer vision, and relates to the technical field of computer vision, and the method comprises the steps: obtaining a to-be-detected image of a target workpiece, carrying out the image preprocessing, and obtaining a standardized detection image; the technical key points are as follows: by establishing a quantitative correlation model of curvature and reflection characteristics, spatial directional compensation on visual offset caused by oil film reflection is realized, and the segmentation accuracy under a complex reflection condition is remarkably improved; through a cooperative compensation double-closed-loop mechanism, the two-dimensional visual information reversely improves the three-dimensional deformation modeling precision, the overall measurement stability of the scheme is improved, and joint inversion and mutual feedback correction of optical distortion and geometric projection errors are realized. The related technical problems of edge drift, region missegmentation and size measurement systematic deviation caused by two disturbance coupling are solved, and a more effective guarantee is provided for automatic quality inspection in a current dynamic industrial scene.

The invention provides a disaster environment intelligent human body posture recognition method based on visual information, and belongs to the field of computer vision. The method comprises the following steps: collecting a visible light image and an infrared image containing a human body; fusing the infrared image and the visible light image to obtain the number of human bodies and human body key nodes; carrying out binary classification on a detection result, and distinguishing a shielding condition and a non-shielding condition; constructing and training a human body posture classification model under non-shielding and shielding conditions; and outputting people number information, pose information and confidence coefficient information through the human body pose classification model. According to the method, for the problem of human body posture and number recognition of trapped people caused by smoke in an underground deep disaster rescue site, infrared and visible light information is fused, a neural network model is constructed, an algorithm optimization strategy is adopted, and real-time recognition of human body postures in a complex environment can be achieved.