8results about How to "Real-time output" patented technology

The invention provides a vehicle-mounted soil nutrient detection method and device based on soil spectral data classification, and relates to the technical field of soil detection.The method comprises the steps that soil near infrared spectral data of soil of a current site in a farmland area to be detected is collected through vehicle-mounted equipment; then obtaining first spectrum difference information and second spectrum difference information based on the soil near infrared spectrum data; further determining the similarity degree of the near infrared spectrum data of the soil; dividing the soil near infrared spectrum data into a plurality of different soil near infrared spectrum data subsets through a spectral clustering algorithm, and performing soil nutrient detection through a farmland soil nutrient detection model. According to the vehicle-mounted soil nutrient detection method based on soil spectral data classification, the total nitrogen content and the organic matter content of the soil can be accurately output in real time, and the detection effect of soil nutrient detection is improved.

The utility model relates to the technical field of optoelectronics, in particular to a small photoelectric pod device based on the optical super-resolution technology, which comprises an azimuth base, a pitching frame and a photoelectric mechanism, the pitching frame is arranged on the surface of the bottom end of the azimuth base, and the photoelectric mechanism is arranged on the inner side of the middle of the surface of one side of the pitching frame. According to the device, the nacelle supports seamless switching between daytime work and night work through three kinds of photoelectric equipment, images can be collected remotely, interest point targets can be positioned, and visible light and infrared videos can be output in real time through full-high-definition videos; and unnecessary weight is reduced while strength is guaranteed, so that the pod is smaller in size and lighter in weight compared with products of the same type, light weight is achieved to the maximum extent under the condition that three kinds of optical equipment are carried, the discovery and recognition accuracy of a time-sensitive target can be improved, cost is reduced, and the pod is suitable for popularization and application. And a certain help is also provided for reducing the overall weight.

The embodiment of the invention discloses a structural deformation monitoring method based on RTK-GNSS, and relates to the technical field of deformation monitoring, and the method comprises the steps: constructing a double-difference pseudo-range observation equation and a double-difference carrier phase observation equation; acquiring initial positions of the base station and the monitoring station, and respectively acquiring an initial single-difference distance and an initial single-difference distance; calculating a second coordinate offset based on the coordinate offset of the reference station in the current epoch, the first initial single-difference distance and the second initial single-difference distance in combination with a double-difference pseudo-range observation equation and a double-difference carrier phase observation equation; and analyzing the deformation quantity of the to-be-measured structural body based on the second coordinate offset. The method provided by the invention overcomes the defects of unstable positioning and difficulty in ambiguity fixation caused by easy shielding or interference of GNSS signals in part of scenes in related technologies, can stably and efficiently calculate and obtain accurate ambiguity, can realize deformation monitoring in complex scenes, and has the advantages of stable positioning result and high deformation monitoring precision.

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 invention discloses a one-point three-line coke cake center temperature measuring method for a large-volume coke oven, and relates to the technical field of coke cake center temperature measuring method.The method comprises the following steps that three measuring holes are formed in a grid plate in the middle of a coke guide grid of a coke barrier car in the height direction, and the three measuring holes are measuring points a, b and c in sequence from top to bottom; fixed probes correspondingly matched with the holes of the coke guide grid plate are installed respectively, temperature measurement is conducted, and the measured value at the measuring point b is the coke cake center temperature, represents the coke maturity condition and is used for guiding increase or decrease of the heating standard temperature of the coke oven; the difference between the temperature measurement values at the measurement points a and c represents the heating uniformity of the carbonization chamber in the height direction and is used for guiding the adjustment of the combustion state of heating gas of the coke oven; a measuring hole is formed in the dust hood opposite to a coke guide grid of the coke barrier car, and a fixed probe is installed and matched. The real-time measurement of the center temperature value of the coke cake is realized, and the effects of simple measurement process, accurate data and strong guidance on coke oven heating are achieved.

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.