18results 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 invention relates to a photon number distinguishable detection system and a photon number distinguishable detection method. A BOOST booster circuit module provides a direct-current voltage meeting the requirement that a multi-pixel photon counter works in a Geiger mode under the control of an FPGA (Field Programmable Gate Array); the temperature control circuit module collects the internal temperature of the multi-pixel photon counter and controls the temperature, so that the multi-pixel photon counter works at a constant temperature; the signal amplification circuit module amplifies an avalanche signal output by the multi-pixel photon counter and sends the amplified avalanche signal to the signal processing module, the signal processing module carries out extraction, photon number distribution analysis, error analysis and optimization and real-time photon number judgment and output on the signal output by the multi-pixel photon counter, and the FPGA receives an error analysis and optimization result of the signal processing module. And the adjusting signal is sent to the BOOST circuit module. The system is high in integration level and stable in temperature control, comprises an error detection and optimization unit, can output the photon number in real time, is simple to operate, can communicate with a PC upper computer through a USB interface, is flexible to use, and can realize low-error photon number distinguishable detection.

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.

The invention relates to the technical field of motors, and particularly discloses a motor rotation angle detection system and method, and the system comprises a separation blade which is provided with a spiral outer edge and linear edges connected with the two ends of the spiral outer edge; the first reflection type optocoupler is arranged on one side, deviating from the motor, of the separation blade; the controller is used for obtaining the first induction current based on the first reflection type optocoupler when the motor rotates and obtaining the rotation angle of the motor according to the first induction current and a preset conversion relation; according to the motor rotation angle detection system, a motor rotation shaft rotates to drive a separation blade to rotate synchronously, so that the coverage range of the separation blade in a first effective area is changed based on a spiral outer edge with a continuous change characteristic, and then a first reflection type optocoupler generates a first induction current with continuous change; the controller can calculate the rotation angle of the motor in real time according to the size of the first induction current, and has the advantages of being low in structural complexity and low in cost.

The present invention discloses a method for motion recognition based on a mobile terminal, and belongs to the technical field of motion recognition of mobile terminals. The present invention comprises: obtaining the acceleration of the mobile terminal, and the acceleration of the x-axis and the y-axis are both greater than or equal to the first threshold, then identifying the flipping state of the mobile terminal based on the acceleration; if the deviation of the acceleration of the x-axis and the y-axis from the first threshold is within a specified range, then identifying the flipping state of the mobile terminal based on the linear acceleration; if the acceleration of the x-axis and the y-axis are both less than the first threshold, and the deviation therefrom is not within the specified range, then identifying the motion state of the mobile terminal in combination with the linear acceleration: uniform speed and acceleration; and identifying the answering state of the mobile terminal in combination with the light sensor and the proximity sensor. With the aid of sensor sampling technology, the present invention analyzes the obtained data, and calculates the approximate motion or position of the mobile terminal according to the interaction performed in different areas, thereby realizing the human-computer interaction of mobile phone motion recognition.

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.

The present invention discloses a blood testing method and system based on spectral recognition, which relates to the field of blood component detection, and specifically comprises: obtaining ambient temperature and tester information, calculating a target wavelength range based on the ambient temperature and the tester information, collecting the tester's finger blood through visible-near infrared light in the target wavelength range, and obtaining initial spectral data; decomposing the initial spectral data through a biorthogonal Daubechies wavelet basis function to obtain low-frequency coefficients and high-frequency coefficients, smoothing and filtering the high-frequency coefficients to remove noise, calculating a mean square error value and sorting to obtain an optimal wavelet basis function and a decomposition layer number, and obtaining corresponding reconstructed spectral data; bringing the characteristic spectral data into a spectral-neutrophil quantitative regression model, and calculating the neutrophil content data of the tester's blood.

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 hazardous waste treatment technology, and aims to provide a hazardous waste pre-embedded treatment system which is good in reaction effect, high in practicability and high in uniformity and a control method of the hazardous waste pre-embedded treatment system. According to the technical scheme, the hazardous waste pre-embedded treatment system is characterized in that a pre-embedded unit is arranged, the pre-embedded unit is embedded in a pit, and a centralized treatment area for hazardous waste is formed; in addition, a chemical reaction treatment mode or a microbial decomposition treatment mode is adopted, meanwhile, an inner conveying mechanism is further added, the inner conveying mechanism comprises a plurality of reaction chambers and inner conveyors arranged in the reaction chambers, hazardous waste in the reaction chambers can be rotationally stirred through the inner conveyors, and therefore the hazardous waste can be discharged out of the reaction chambers. And moreover, a treatment solution is stably output in real time, and reactants in the reaction chamber are stirred while the reaction is carried out, so that the overall reaction rate is increased, the practicability is greatly improved, and the device is suitable for the technical field of hazardous waste treatment.

The present invention relates to a manual ultrasonic C-scan detection device and method, which belongs to the field of non-destructive testing technology, and solves the problems in the prior art that the scanning device is inconvenient to carry for off-site testing, the C-scan detection is inaccurate, and the C-scan cannot be accurately positioned for irregular products. The present invention adopts 3 fixed ultrasonic probes and 1 low-frequency piezoelectric chip placed on the upper end of the fourth ultrasonic detection probe to form a positioning system, which is used to locate the detection point of the fourth ultrasonic detection probe. The positioning method can provide the coordinate values ​​of the three directions of X, Y, and Z in real time, and can be used for three-dimensional manual ultrasonic C-scanning imaging of complex curved surface parts. It has the advantages of high precision, high response efficiency, stable position signal, no interference with position signal, and real-time output of position signal.

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 invention discloses a full-automatic target scoring system and method based on GPRS wireless unvarnished transmission, relates to the technical field of automatic target scoring, and solves the problems that an existing target scoring system is high in maintenance cost and poor in environmental adaptability, and consequently the shooting training requirement of the actual environment cannot be met. The environment detection system transmits detected environment information to the individual soldier display system and the remote control and display terminal; the remote control and display end controls the target scoring camera system to search a target, summarizes and displays the received target scoring information, and receives the environment information of the environment detection system; the individual soldier display system receives the environment information transmitted by the environment detection system and the target position information of the target transmitted by the target scoring camera system, so that the next target shooting operation can be conveniently guided. The system is wide in adaptability, and can observe five target positions in real time at the same time. According to the method, the design results can be accurately recorded and summarized, errors caused by manual target scoring are reduced, and the authenticity and reliability of the shooting results are ensured.

The invention provides a multi-view video coding and decoding method and device and a storage medium, relates to the technical field of video processing, solves the problem that a multi-view video coding algorithm is high in complexity and not beneficial to real-time picture output in the prior art, and provides a better multi-view video coding and decoding method. Multiple viewpoints are simplified into parallax parameter vectors of a reference viewpoint and other viewpoints through a neural network model, single-viewpoint coding of the reference viewpoint and transmission of the parallax parameter vectors are carried out, and multi-viewpoint content is reconstructed through the neural network model at a decoding end, so that the size of a coding code stream can be reduced, bandwidth flow is saved, and the decoding efficiency is improved. And real-time picture output is facilitated.

The invention relates to a sludge granulation screening device, and belongs to the technical field of sludge treatment, the sludge granulation screening device comprises a shell, and a sludge-water separation module and a sludge concentration module which are sequentially arranged in the shell from top to bottom and are communicated with each other, and sludge circulation channels are formed in the two sides of the sludge-water separation module; the sludge circulation channel comprises a plurality of ascending channels and a plurality of backflow channels, the sludge concentration module forms a sludge sliding channel below the sludge-water separation module, and the sludge sliding channel is collected from top to bottom; the sewage treatment device further comprises an aeration module, the aeration module comprises a plurality of aeration valves, the plurality of aeration valves are respectively arranged below the plurality of ascending channels and at the bottom of the shell, and the aeration module is used for blowing air to the sludge circulating channel above; the mud-water separation module is used for separating water and sludge and conveying the sludge to a shell floor; the aeration module is used for conveying the sludge at the bottom of the shell to the top of the mud-water separation module through an ascending channel; the screening device can be matched with a continuous flow process and is good in screening effect.

The invention relates to the technical field of signal processing, and discloses a band-pass filtering and Hilbert transformation system based on an FIR (Finite Impulse Response) filter, which comprises an impulse response generation module, an FIR filtering module and a signal demodulation module, generating a finite long impulse response capable of performing band-pass filtering and Hilbert transformation on an input signal according to a design requirement; the FIR filtering module carries out convolution on the input signal and the finite long impulse response to obtain an analysis signal after band-pass filtering, and band-pass filtering and Hilbert transform on a time domain are realized; according to the invention, band-pass filtering and Hilbert transformation are realized only by using one filter, convolution is carried out on the input signal and the finite long impulse response, the filtered analysis signal is generated, and the analysis signal is conveniently used for signal demodulation subsequently.

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.