6results about How to "Strong and stable structure" patented technology

This application discloses an adaptive obstacle detection method and apparatus for adverse weather conditions, relating to the field of autonomous driving technology. The method acquires multi-source sensor data from an onboard vehicle, combines it with pre-calibrated sensor parameters to generate spatiotemporally aligned multi-source sensor data, extracts features to obtain feature maps for each modality, and projects all feature maps onto a bird's-eye view BEV space of the same resolution, using the LiDAR coordinate system as a reference, outputting a multi-modal BEV feature set. The feature set is concatenated along channels to form global state features, which are input into a pre-trained dual-branch adaptive decision network to obtain the output decision result, thereby generating the final image BEV features. Combining the multi-modal feature confidence weight matrix, the final image BEV features and the multi-modal BEV feature set are weighted to obtain globally fused BEV features, which are input into a 3D obstacle detection head for decoding and output detection results. This application can improve the robustness of multi-sensor fusion perception and obstacle detection accuracy under adverse weather conditions.

There is disclosed a blank (100) for forming a package (200), the blank (100) comprising: a bottom panel (102); a front wall panel (104); two set of side wall panels (106, 107); a rear wall panel (108); a first lid panel (109a), a second lid panel (109b); and a locking flap (111) configured to be inserted into a recess (121), when the blank (100) has been folded into the package (200), and an opening action by folding the first and second lid panels (109a, 109b) about a first longitudinal side (LSR1) of the rear wall panel (108) is initiated, a locking tongue (111b) of the locking flap (111) interacts with an inner surface (106ci) of the intermediate side wall panel (106c) in a vicinity of the recess (121), and, when an opening action by folding the second lid panel (109b) about an internal fold line (110) is initiated, the folding of the second lid panel (109b) about the internal fold line (110) releases the locking tongue (111b) from the recess (121). The is also disclosed a package (200) formed from such a blank (100).

The application discloses a kind of general data exchange systems based on configurable label structure, it is related to the technical field of data processing and information integration, including parameter module for establishing the identity authentication mechanism of exchange party;Business document module is used to establish data structure definition based on preset exchange demand;Document logic module is used for logical analysis and code decoupling to data structure definition, generates tokenization language script code and execution instruction, constructs execution matrix, realizes the mapping of database physical field and memory logic variable;Standard adaptation module is used to compare and check the generated data content, and the verification result is fed back to the parameter module to correct the exchange rule and parameter configuration.The application implements more intelligent logic separation strategy through structured insight, cooperatively controls data reading, writing and transmission, and realizes complete decoupling of business logic and program code using nested label structure, optimizes the flexibility, universality and maintenance efficiency of data exchange.

This invention provides a high-precision modeling method for porous metallic materials based on a stochastic algorithm and its application in simulating the electrothermal-mechanical properties of materials. It relates to the field of artificial intelligence algorithm technology. The method includes: reconstructing and optimizing an initial reconstruction model of the porous metallic material based on a stochastic algorithm to obtain a three-dimensional reconstruction model; performing slice analysis on the three-dimensional reconstruction model and determining whether the analysis results meet the accuracy error standard; if they do, outputting the three-dimensional reconstruction model. By reconstructing and optimizing the initial model, the three-dimensional structure of porous materials can be accurately simulated, achieving high-precision modeling of porous metallic materials. Generating and growing pore seeds using a stochastic algorithm ensures the randomness and realism of the model. The setting of the accuracy error standard further improves the reliability of the model, ensuring the accuracy of porosity and pore size. This effectively solves the error problem in the modeling process of porous metallic materials, providing a solid foundation for high-precision simulation and material performance prediction.

The application relates to a dual-wavelength Raman-capacitance integrated fertilizer solution component on-line detection device. The Raman spectrum detection module and the capacitance sensor module are electrically connected with a controller respectively. The Raman spectrum detection module comprises a Raman probe, an optical switch, a laser light source, a monochromator, a charge coupled device and a Raman spectrum pipeline. The optical switch, the laser light source, the monochromator and the charge coupled device are electrically connected with the controller respectively. The charge coupled device, the monochromator, the laser light source, the optical switch and the Raman probe are electrically connected in sequence. The probe end of the Raman probe is connected with the Raman spectrum pipeline. The capacitance sensor module comprises a interdigital capacitance pipeline. The Raman spectrum pipeline and the interdigital capacitance pipeline have the same inner diameter and are connected at the end. The application combines the dielectric frequency method and the Raman spectrum method, can give full play to the advantages of both methods, can realize comprehensive, on-line and rapid detection of fertilizer solution component information, and lays a foundation for improving the intelligent level of the water and fertilizer integrated system.