6results about How to "Overcome failure" patented technology

The invention discloses a novel flexible ecological drainage ditch structure and a construction method thereof, belongs to the technical field of drainage ditch construction, and solves the problems of serious deformation and cracking of a traditional concrete drainage ditch. The structure specifically comprises an anti-corrosion layer, a drainage layer and an anti-seepage layer. The seepage prevention layer is arranged at the bottom of the drainage ditch, the drainage layer is laid on the seepage prevention layer, and the anti-corrosion layer is laid on the drainage layer. According to the drainage ditch, the innovative design of combining the anti-corrosion layer, the drainage layer and the anti-seepage layer is adopted, so that a lower seepage body is effectively drained, the ditch body strength is improved, the basic requirements of confluence, quick drainage and seepage prevention of the drainage ditch are met, and the overall shear resistance and erosion resistance of the drainage ditch are improved; the construction method is suitable for construction of loose accumulation body slopes such as slide slag accumulation body slopes, waste slag accumulation bodies and mine dumping sites; the method has the advantages of being high in plasticity, high in terrain adaptability, high in environment flexibility, good in structure flexibility and the like.

The application provides a low-feature corridor autonomous navigation method and system based on multi-sensor fusion, and relates to the technical field of mobile robot path planning and intelligent control. The steps of the method are as follows: S100, acquiring synchronous collection multi-source data of a distributed sensor network, and extracting cross-medium boundary features; S200, constructing a cross-medium propagation coupling model based on a multi-physical field equation, and calculating physical field distribution parameters; S300, inputting historical data and boundary features into a physical information neural network, and predicting a physical field evolution trend; S400, executing a risk assessment algorithm, and generating a comprehensive safety map containing multi-dimensional risk indicators; and S500, generating a safe navigation trajectory considering multiple constraints based on a multi-objective optimization algorithm. The method has the beneficial effects that the problem of failure of a traditional single physical model when a medium mutates is overcome, the accuracy and physical consistency of the prediction of the physical field evolution trend are improved, and comprehensive environmental safety information is provided for path planning.

The application discloses a hydrological model parameter calibration method and system based on a system differential response relationship, and the method comprises the following steps: obtaining input time series data required for model operation, obtaining hydrological observation time series data, and constructing a hydrological model; generating an initial parameter set by random sampling in a given value range, driving the hydrological model by the initial parameter set, and constructing a system differential response relationship formula of initial parameter error and model output simulation error; obtaining an initial parameter error iterative solution formula based on an iterative shrinkage threshold algorithm, determining the coefficients in the solution formula, and substituting the coefficients into the solution formula to solve the initial parameter error; and accordingly, the initial parameter is optimized until the parameter converges, and finally, a final parameter calibration result is obtained. The application effectively constructs the response relationship of the parameter error and the model simulation error, and solves the parameter error by using the iterative shrinkage threshold algorithm with high numerical stability, thereby improving the hydrological model parameter calibration efficiency and the accuracy of hydrological simulation.

The present invention belongs to the field of target detection, and discloses a radar three-dimensional target detection method and device based on multi-sensor fusion, the method mainly comprising: acquiring a radar signal, obtaining a radio frequency image of the radar signal, inputting the radio frequency image into an image processing network, obtaining a pre-confidence map of the radio frequency image, calculating the correlation between the detection targets in the pre-confidence map, and obtaining a confidence map of the radio frequency image; acquiring a camera image, inputting the camera image into an image processing network, obtaining a pre-confidence map of the camera image, calculating the correlation between the detection targets in the pre-confidence map, and obtaining a confidence map of the camera image; fusing the confidence map of the radar signal with the confidence map of the camera image to obtain a three-dimensional target detection result. The method makes full use of the semantic information of the millimeter wave radar signal, overcomes the problem of camera and laser radar failure that may be faced in the target detection process, makes the target detection have high robustness, and can perform target detection in harsh and complex environments.

The invention relates to the technical field of intraocular lens growth, and discloses an intelligent regulation and control system for large-scale production forming of a cubic zirconia material. Comprising a central cooperative control module, a partition cooling data monitoring module, a contact thermal resistance liquid level analysis module, a vertical temperature gradient construction module and an induction energy dynamic matching module, and the partition cooling data monitoring module, the contact thermal resistance liquid level analysis module, the vertical temperature gradient construction module and the induction energy dynamic matching module are connected through a bus. The vertical temperature gradient construction module constructs a vertical heat flow channel by adjusting the flow velocity difference of cooling water on the side wall and the bottom. The induction energy dynamic matching module dynamically adjusts the radio frequency output power according to the liquid level height; the central cooperative control module overall plans the whole process of raw material melting, crystal growth and annealing shutdown according to thermodynamic characteristics. The technical problems that the liquid level of the high-temperature melt is difficult to monitor and the thermal field is difficult to control are solved, automatic closed-loop control over crystal growth is achieved, and the structural uniformity and the yield of large-size single crystals are remarkably improved.

The application discloses a kind of transient voltage support promotion methods of net type converter adaptive voltage feedforward, belong to new energy grid-connected control technical field.The method first considers the dynamic voltage disturbance immunity index of inner loop control of converter to describe the transient voltage support capability of converter under different inner loop control parameters, structure, then a kind of voltage support type feedforward is designed based on the saddle point optimization of Lagrange function, and the inner loop current control bandwidth is limited to collaborative optimization.The algorithm can be used as a reference for the design of converter voltage feedforward control, and provides an optimal parameter design method, which has certain significance for the evaluation and improvement of the transient voltage support capability of grid-connected converter.