4results about How to "Real-time output" patented technology

This invention discloses a method for predicting the maneuvering motions of hydrogen fuel cell-powered ships based on multi-source data fusion, relating to the field of intelligent ship navigation. The method collects geodetic coordinate system position and heading data from the BeiDou Navigation Satellite System and ship hull coordinate system acceleration data from the Inertial Measurement Unit (IMU). After differential and integral preprocessing, a neural network model is built. A fusion-type loss function is constructed based on the transformation relationship between the ship hull coordinate system and the geodetic coordinate system. The model is trained using a backpropagation algorithm and can also be extended to fuse data from multiple sensors such as GPS. This invention fully leverages the complementary advantages of multiple sensor sources, effectively compensating for the inherent deficiencies of single-sensor data, significantly improving the accuracy and robustness of ship maneuvering motion prediction, and providing reliable technical support for intelligent navigation decision-making and safety assurance of hydrogen fuel cell-powered ships.

This invention relates to the field of environmental protection technology for coal-fired boilers, solving the problem of the difficulty in obtaining integrated, automated, and precise information on the characteristics of fly ash from coal-fired boilers. Specifically, it discloses a system and method for obtaining fly ash characteristics in coal-fired boilers, including a fly ash collection module, a fly ash pretreatment module, a characteristic detection module, a data processing module, and a control module. The fly ash collection module is connected to the flue of the coal-fired boiler; the fly ash pretreatment module is connected to the fly ash collection module; the characteristic detection module is connected to the fly ash pretreatment module; the data processing module is connected to both the characteristic detection module and the control module; and the control module is electrically connected to each of the three modules. The method of this invention includes S1, fly ash collection; S2, fly ash pretreatment; S3, characteristic detection; and S4, data processing and output. This invention is used for obtaining and detecting fly ash characteristics during combustion in coal-fired boilers, and features integration, automation, and high precision.

The utility model discloses a kind of integrated handheld spectrometer, belong to spectral detection equipment technical field.The spectrometer includes spectrometer body, integrated optical integrated chip (including arrayed waveguide grating and adjustable optical filter) in silicon substrate, light source system, detection system and data processing system.Optical integrated chip adopts Z-shaped arrayed waveguide grating structure, and the resolution of 0.05nm level is reached with 3% of the light splitting efficiency promotion;Adjustable optical filter realizes center wavelength dynamic tuning (range 10-5nm, precision ±0.1 DEG C) by temperature modulation device (micro thermoelectric refrigerator+temperature sensor).Spectrometer body is ergonomics handle design, integrated operation button and liquid crystal display screen.Compared with prior art, the utility model significantly reduces volume, reduces cost by silicon-based integrated optical technology, while improving resolution and stability, suitable for alloy, ore, environment, consumer goods and other fields of on-site rapid detection.

The invention discloses an inspection robot based on vision, belongs to the technical field of detection devices, and solves the problems of high safety risk, low efficiency and poor precision of manual detection. The robot comprises a left driving part, a right driving part and a lifting carrying table which are flexibly connected through a connecting assembly and adapt to multi-curved-surface attaching crawling. The lifting carrying table is of a standardized structure and can be detached to carry various detection devices, and left and right driving parts are powered by double batteries in parallel. A soft control system is arranged in the equipment and is in two-way communication with each power part and each detection and transmission assembly, a defect detection algorithm module of the equipment fuses detection and image data to complete intelligent defect identification, a motion unit, an edge calculation unit and the like are further integrated, remote / autonomous motion control, local real-time operation, data classified storage and defect abnormity early warning are supported, and the equipment is suitable for large-scale popularization and application. The automatic and remote detection operation is realized, and the scene adaptability and the detection accuracy are improved.