754results about How to "No human intervention required" patented technology

The invention relates to an agricultural robot, and discloses an animal husbandry pushing robot autonomous navigation method based on a laser radar, which comprises a microsecond-level multi-sensor time synchronization architecture based on an FPGA (Field Programmable Gate Array); in a navigation layer, seamless switching between the GNSS and the laser SLAM is realized by constructing a virtual fusion observation value by utilizing extended Kalman filtering and a self-adaptive dynamic weight algorithm; in the sensing layer, an RGB-I multi-mode model fused with laser reflectivity and a biological micro-motion detection technology are adopted, and feed and biological obstacles are accurately distinguished; and in the execution layer, flexible self-adaptive material pushing is achieved in combination with material groove edge fitting and force-position hybrid control, and the navigation precision, the operation quality and the safety of the material pushing robot in the all-weather and unstructured pasture environment are effectively improved.

The invention relates to a point cloud denoising method of a photon counting laser radar and an intelligent denoising system, and belongs to the technical field of photon laser radar data processing. The technical problems that the performance of a fixed parameter denoising method is seriously unbalanced under different ground feature and complexity scenes, and high denoising rate and high signal fidelity cannot be considered at the same time are solved. Synchronously acquiring an optical image and an original photon point cloud of the target area; identifying the dominant ground feature type of the laser spot area through real-time semantic segmentation; calculating scene complexity based on the point cloud data and determining the grade of the scene complexity; querying a preset two-dimensional parameter mapping table according to the combination of the surface feature type and the scene complexity level, and dynamically obtaining an optimal denoising parameter set; and finally, the parameter set is utilized to drive adaptive denoising processing, and signal points and noise points are distinguished by calculating the local density and direction consistency of the points and constructing a two-dimensional discrimination space. The method is mainly used for real-time processing platforms such as unmanned aerial vehicles, and the point cloud denoising precision, the signal retention rate and the topographic feature fidelity are remarkably improved.

The embodiment of the invention provides a connector terminal plug-in mounting device, and relates to the technical field of automatic assembly equipment, the connector terminal plug-in mounting device comprises a rack and a working track arranged on the rack, a feeding mechanism, two plug-in mounting mechanisms and a discharging mechanism are sequentially arranged along the processing direction of the working track, and a carrying mechanism is arranged at the working track. The plug-in mounting mechanism comprises a terminal feeding assembly, a plug-in mounting assembly and a material folding assembly, the plug-in mounting assembly comprises a first sliding block and a second sliding block which move in the two perpendicular directions, the first sliding block is provided with a plug-in mounting head, the second sliding block is connected with a clamping plate used for clamping a terminal material belt, and the plug-in mounting mechanism further comprises a shearing assembly. The shearing assembly is of a cutter structure driven by a lever, and a cutter automatically resets by means of shearing reaction force after shearing is completed. The device has the effects of preventing the terminal material belt from being cut by mistake and effectively separating the terminal from the material belt.

The invention discloses an intelligent detection method for attitude parameters of a photovoltaic power station assembly. The intelligent detection method comprises the following steps: (1) data acquisition and preprocessing; (2) detecting the corrected two-dimensional image by adopting the trained YOLO11 deep learning model; (3) establishing a transformation model from a two-dimensional image pixel coordinate to a three-dimensional model geographic coordinate, forming an accurate two-dimensional spatial index polygon by the transformed photovoltaic module array angular point coordinate points, and extracting a module array point cloud subset by using the polygon; and (4) for the problem that the extracted array point cloud subset contains a large amount of noise, an improved N-RG-RANSAC algorithm is adopted for processing. According to the method, the high-noise point cloud is effectively segmented and purified through the improved N-RG-RANSAC algorithm, so that high-precision and automatic extraction of the dip angle and the azimuth angle of the photovoltaic module is realized in a complex real scene environment, and the operation and maintenance efficiency of a photovoltaic power station is improved.

The invention relates to a medical high polymer material 3D intelligent printing method based on a selective laser sintering process. The method comprises the following steps that optimal initial process parameters are recommended based on material characteristics and part requirements; carrying out processing according to the optimal initial process parameters, and monitoring a processing material in real time through a sensor; if machining defects are monitored, an AI model is adopted to calculate and adjust technological parameters, and meanwhile, local repair is carried out on the detected defects; after printing of each layer is completed, the technological parameter database is updated, and technological parameters of subsequent layers are optimized until the machining process is finished; in the printing process, once defects are monitored, the AI model can quickly calculate and adjust process parameters, manual intervention is not needed, and the time for finding and solving problems is greatly shortened; meanwhile, the reinforcement learning algorithm can continuously learn and optimize a process parameter adjustment strategy, so that adjustment is more accurate and efficient, and repeated printing and repair time caused by unreasonable parameters are reduced.

The invention relates to the technical field of machine learning, and provides a drill hole rock mass structure quantitative prediction method and system based on machine learning, and the method comprises the steps: constructing an associated data set with a drill hole television image and / or an actual rock mass structure disclosed by an exploration adit as a benchmark, and taking an actual rock mass structure quantitative value as a benchmark; and calculating an overall deviation correction coefficient of a rock mass integrity coefficient and a rock quality index based on the associated data set, performing deviation correction on original data by using the correction coefficient, and realizing automatic mapping from double-index input to rock mass structure quantitative predicted value output by a machine learning model. The decision coefficient of the prediction model on a test set reaches 0.9 or above, the average absolute error does not exceed 0.3, the prediction time of a single group of data does not exceed 1.5 seconds, and the prediction precision and efficiency are far higher than those of a traditional experience method. The method supports local off-line deployment, adapts to a field network-free environment, constructs a data closed-loop mechanism to realize continuous iteration of the model, and provides a reliable basis for dam foundation safety assessment.

The invention relates to the technical field of precision measurement and optical detection, and discloses a complex inner hole rapid detection method based on laser scanning. According to the method, full-automatic three-dimensional reconstruction of the special-shaped inner hole with the high depth-diameter ratio is achieved through cooperative movement of a rotating platform and an axial feeding laser measuring head in combination with triangulation method laser displacement sensing, multi-source data fusion and an environment compensation mechanism. According to the invention, a traditional contact type measuring means is abandoned, and a non-contact laser scanning technology is adopted, so that the problem of workpiece surface scratch or measuring head wear caused by physical contact is avoided; through cooperative movement of the rotating platform and the linear feeding mechanism, full-circumferential and full-depth coverage scanning of a complex inner hole is achieved, and the limitation that only discrete points or local information can be obtained through an existing method is solved.

The invention discloses a Linux-oriented vulnerability repair verification method and system and a medium. The method comprises the steps of creating a test application form for a CVE vulnerability patch in a task management system, preparing a test environment for CVE vulnerability repair verification as well as a required test table, a software source and a test strategy file, and calling a tool interface to automatically trigger an assembly line; the assembly line executes the test suite in the test environment based on the test table, the software source and the test strategy file and collects an execution state, and if the execution state is failure, automatic retry can be carried out on the CVE vulnerability based on manual triggering; and finally, generating a report file, writing a verification result for the test application form in the task management system, and if the verification result is that verification is passed, issuing a service pack of the CVE vulnerability. The invention aims to realize efficient, traceable and extensible Linux vulnerability repair verification, realize full automation and intelligence of the vulnerability verification process, and improve the accuracy, traceability and expandability of verification.

This utility model discloses a capillary copper tube packaging machine, comprising a front conveyor belt, a middle conveyor belt, and a rear conveyor belt arranged sequentially for conveying capillary copper tubes; an alignment mechanism installed on the front conveyor belt for aligning the capillary copper tubes to be packaged; a sealing mechanism installed on the middle conveyor belt for closing and sealing the two sides of the strip; and a cutting mechanism installed on the rear conveyor belt for cutting the sealed strip. Using this utility model, the entire process requires no manual intervention, achieving automation of the packaging process and greatly improving the work efficiency and packaging quality.

The application provides an automatic system and an assembling method of double-line supply integrated assembly, which comprises a first supply line and a second supply line, the first supply line and the second supply line are collected to a positioning assembly output line through a robot taking materials, the first supply line comprises a multi-axis running feeding machine and a secondary positioning platform in sequence, the second supply line comprises a flying feeder, an adsorption material taking device, a clamping material taking device, a point laser height measuring instrument and an upper visual positioning scanning module are arranged on an execution end of the robot, the positioning assembly output line comprises a lower visual positioning module and a product circulation mechanism in sequence, a positioning installation station is arranged on the product circulation mechanism, a material positioning module and a material blocking module are arranged at the positioning installation station, and the execution end of the robot is matched with the flying feeder, the secondary positioning platform, the lower visual positioning module and the positioning installation station in sequence. Through the double-line supply cooperation, multi-stage visual positioning and full-process automation design, the efficiency bottleneck and the precision problem in the assembly of special-shaped parts are effectively solved.

The application relates to a basketball video highlight automatic generation method and system based on multi-modal feature fusion, and belongs to the technical field of computer vision and multimedia intelligent analysis. The method comprises the following steps: S1, extracting and aligning a visual feature sequence and an audio feature sequence; S2, using bidirectional LSTM to perform time sequence coding on the audio-visual feature, constructing a cross-modal attention mechanism taking audio as a query and vision as a key value, and obtaining multi-modal fusion features; S3, inputting the fusion features into a 1D CNN to output a frame-by-frame highlight event probability sequence; S4, performing peak value searching based on an adaptive threshold of the probability sequence to obtain a coarse-grained timestamp; S5, taking the coarse-grained timestamp as a center to intercept local features, inputting the local features into bidirectional LSTM to predict starting and ending offsets, and obtaining accurate start and end time boundaries; and S6, clipping and splicing to generate a highlight video according to the accurate boundaries. The application realizes audio-visual semantic depth alignment through an audio-guided visual attention mechanism, and improves boundary positioning accuracy through a coarse-precision two-stage positioning architecture.

The application discloses a grey cloth placing tool and method for floor mat production, and relates to the technical field of industrial automation production. The machine frame is provided with an X-axis driving module, a Y-axis driving module and a Z-axis driving module matched with the cloth lifting module and used for driving the cloth lifting module to move on the machine frame. The application has the advantages that the grey cloth lifting, conveying and flattening are integrated through the cooperation of negative pressure adsorption and tension control structure, and wrinkles are effectively inhibited; the double-mode adsorption of negative pressure and high-frequency vibration is adopted, high-permeability and conventional grey cloth are compatible, and the adsorption failure problem is solved; the vibration structure is self-driven by airflow, and no additional power is needed, so that the structure is simple and reliable; the multi-point flexible adsorption is matched with the rotatable mechanism, so that the grey cloth is protected from damage; the three-axis linkage and modular design improve the automation and universality, adapt to efficient continuous production, and improve the production quality, efficiency and equipment applicability of the floor mat.

The utility model discloses a kind of cutting device of rubber cutting piece, including device ontology, device ontology includes machine case and cutting assembly, machine case top is equipped with cutting platform, the front side of cutting platform is equipped with ball screw, the rear side of cutting platform is equipped with opening, opening is built-in with rotary table, first infrared positioning sensor is equipped on rotary table, cutting assembly is equipped with cutting seat, second infrared positioning sensor is equipped on the rear side of cutting seat, second infrared positioning sensor and first infrared positioning sensor dynamic docking.The utility model is by setting ball screw on cutting platform, pneumatic fixed clamp is equipped on ball screw, it is conveyed by ball screw, compared with the conveying mode of conveying belt, it is accurate and stable to convey, can avoid displacement;The rear side of cutting platform is provided with rotary table, the correction of rubber cutting piece center coordinate and offset angle can be realized by first infrared positioning sensor and second infrared positioning sensor, realize the function of rectification, guarantee the accuracy of cutting.

The utility model relates to the field of automation, in particular to an adjustable motor screw heading device. The utility model provides an adjustable motor screw heading device which comprises a cabinet, a screw heading machine, an electric turntable, a mounting frame, a screw rod, a guide rod and the like, the screw heading machine is mounted at the top of the cabinet, the electric turntable is mounted at the top of the cabinet, the mounting frame is mounted at the top of the cabinet, and the screw rod is rotatably connected in the mounting frame. Guide rods are connected to the mounting frame in a bilateral symmetry mode. The guide ring can be adjusted to the position suitable for the size of a workpiece through the lead screw, so that the clamping distance of the fixing frames is accurately adjusted, then in the rotating process of the electric rotating disc, the second rolling wheel makes contact with the inclined face of the guide ring, and the two fixing frames automatically move towards the inner side through the synergistic effect of the guide ring, the first rolling wheel and the second rolling wheel; the workpiece is firmly clamped, the stability and precision of the workpiece in the screw driving process are ensured, manual intervention is not needed, and the automation level and the operation efficiency are improved.

The application discloses a chip coupling method and system, comprising calculating an initial position for optical coupling according to a light emitting point position and a center position; after controlling the lens to move to the initial position, searching for an optical signal according to a preset scanning track; after finding the optical signal, entering a dry coupling stage, performing optimization alignment to determine a preliminary maximum optical power; at an alignment position, dispensing glue and entering a wet coupling stage, performing fine coupling scanning to find a final maximum optical power, and performing a second specification inspection; on the basis of passing the second specification inspection, curing the glue to fix the lens, and then performing a final specification inspection. The application can automatically complete identification and positioning of the chip and the lens, positioning and searching of the optical signal, dry and wet coupling, and final curing inspection, does not need manual intervention, can adaptively adjust parameters and specification inspection in the coupling process, can cope with various complex situations, and has high stability.

The utility model relates to the technical field of oil extraction, in particular to an efficient temporary plugging anti-overflow device. Comprising an upper connector, the upper connector is fixedly and hermetically connected with a valve connector, the lower end of the valve connector is fixedly and hermetically connected with a filter pipe and an outer cylinder, the filter pipe is located on the inner side of the outer cylinder, the valve connector is provided with an air hole communicated with an annular cavity between the outer cylinder and the filter pipe, and a check valve is installed in the air hole; the lower end of the filter pipe is fixedly and hermetically connected with a lower pipe located inside the outer cylinder, the lower end of the lower pipe is blocked and fixedly connected with the lower end of the outer cylinder through a lower connector, and a temporary blocking plate is detachably, fixedly and hermetically connected into the lower connector. Through soluble temporary plugging, multi-stage filtering, gas-liquid separation and modular sealing design, the device has the core advantages of efficient overflow prevention, rapid production, airlock prevention, low maintenance cost and the like, has both environmental protection property and economical efficiency, and is suitable for oil well operation under complex working conditions.

A method for withering tea leaves, using withering equipment including a fan (2), a temperature sensor (3), a control box (5), a heating tube (7), and a frame (8), wherein a perforated plate (1) is arranged in the frame (8) to form a trough, and a guide plate (4) is set below the perforated plate (1). The method includes the following steps: starting the control box (5) and measuring and determining the correspondence between the wind speed and the frequency of the fan (2) in segments; spreading the fresh tea leaves flat on the perforated plate (1), controlling the thickness of the spread tea leaves to ensure uniform spreading; setting the direction and wind speed parameters of the fan (2), and starting the fan (2) and the heating tube (7); repeating the blowing process of the fan (2) and the heating process of the heating tube (7) according to the direction and wind speed parameters set in step three until withering is completed. This achieves parameterized and precise control of the withering process.

This invention discloses a fully automatic metal honeycomb core automatic layout and cutting device, belonging to the field of metal cutting technology. It solves the technical defects of existing metal honeycomb core cutting equipment, such as core cell crushing and edge chipping, difficulty in active avoidance by the circular saw blade, and incomplete automated layout. The device includes a frame assembly, a workpiece feeding mechanism, a workpiece positioning unit, a workpiece clamping structure, a circular saw blade cutting moving component, a workpiece rotation mechanism, and a CNC control system. These systems work collaboratively to achieve fully automatic layout and cutting of the metal honeycomb core panels. The circular saw blade cutting moving component drives the circular saw blade to descend to the workpiece surface for follow-up cutting. After cutting, it actively avoids obstacles through lifting and lateral movement. The workpiece rotation mechanism is integrated with the workpiece clamping structure, enabling precise rotation of the honeycomb core. Combined with the fully automatic layout software built into the CNC system, it achieves a closed-loop automatic layout and cutting process.

The utility model discloses a sorting and identifying device for large balls, small balls and plastic chip round cards, which comprises a main body frame, a ball guide hopper is arranged at the top end of the main body frame, a net opening metal plate is arranged on one side of the ball guide hopper, a push disc is arranged on the rear side of the net opening metal plate, and the ball guide hopper, the net opening metal plate and the push disc jointly form a primary sorting machine. An antenna and an antenna cover are respectively arranged at the top end of the main body frame, a bearing is arranged at the bottom end of the main body frame, a bearing fixing piece is arranged on the surface of the bearing, a motor rack is arranged at the bottom end of the main body frame, and a motor is arranged at the bottom end of the motor rack, so that the secondary sorting machine is formed. Through primary physical sorting and secondary intelligent identification, rapid and automatic sorting processing of large balls, small balls and plastic chip round plates is effectively achieved, size screening of materials with different diameters is achieved through combination of the ball guide hopper and the net opening metal plate, and the problems that the large balls are blocked, the small balls are not identified and the like are effectively solved.

This invention belongs to the field of spectral data processing technology, specifically a spectral data processing system and method based on in-situ data sensing and intelligent analysis. This invention employs in-situ optical imaging, absorption spectroscopy, fluorescence spectroscopy, and PL mapping to acquire real-time three-dimensional spectral data of time, wavelength, and intensity for real-time monitoring of material crystallization, defects, and luminescence properties. It uses an automatic invalid value detection and cleaning algorithm to address data quality issues; it extracts peak position and half-peak width (WHM) characteristic parameters from the spectral data using peak position extraction and WHM calculation methods; it uses a nonlinear optimization algorithm to perform multi-peak Gaussian fitting on the spectral data; and it employs a signal-slot mechanism to achieve real-time synchronization of data presentation and fitting analysis, forming a complete closed loop of in-situ testing, data sensing, processing, analysis, synchronization, and export. This invention achieves real-time acquisition, efficient processing, accurate analysis, and automatic synchronization of spectral data, providing technical support for standardized processing and traceable analysis of spectral data.

The invention provides a parameterization calculation method for a top cover modal and a pitch diameter of a water turbine, and belongs to the technical field of hydraulic mechanical structure dynamics and simulation automation. The method comprises the steps of parameter input, parametric modeling, automatic simulation control, pitch diameter identification and analysis and result output: after a parameter set is input, constructing a parametric modeling module based on Python and ANSYS Spaceclaim, and automatically generating a three-dimensional geometric model containing a basic panel, a rib plate and a connecting hole; an automatic simulation control module is constructed based on Python and ANSYS Workbench, and full-process automatic simulation is completed to obtain a modal analysis result; pitch diameter characteristic parameters are automatically recognized through a least square discrete Fourier transform algorithm of non-equiangular sampling and confidence degree judgment; and outputting results to form a standardized database. According to the method, automation and quantification of the whole process are achieved, modeling and simulation efficiency is improved, manual misjudgment is avoided, the method is suitable for different types of water turbine top covers, and reliable data support is provided for structural optimization and resonance risk assessment.

The invention relates to the field of modular charging, in particular to a modular charging mechanism for a power pack and a management method thereof, and the modular charging mechanism comprises a power supply placement table which provides placement space for a plurality of groups of power supplies and is arranged in an array manner; the modular mechanism is arranged on the outer side of the power supply placement table, is arranged corresponding to the power supply placement table, and is used for carrying out centralized modular charging on multiple groups of power supplies to realize synchronous or independent power supply; according to the modular charging mechanism for the power pack and the management method of the modular charging mechanism for the power pack, when abnormal high temperature occurs to the power supply, a melt is heated and melted to trigger a linkage mechanism, and a limiting plate is driven to be automatically stored through spring reset and gear transmission, so that the temperature of the power supply is lowered, and the reliability of charging is improved. And the power supply is quickly released from being clamped.

The utility model provides a kind of push plate feeding mobile machine with feeding limiting structure, including feeding hopper, the bottom surface of the feeding hopper is fixedly connected with support seat, the side surface of the support seat is fixedly connected with support block, the upper surface of the support block is fixedly installed with electric cylinder, the telescopic end of the electric cylinder is fixedly installed with push plate assembly, the outer surface of the feeding hopper is fixedly connected with two limit slides, involve push plate feeding mobile machine field.The utility model is through the cooperation of limit slide and limit slide, limit switch, when push plate assembly reaches preset position, limit slide triggers limit switch, controller immediately controls electric cylinder to stop, ensure that material can be accurately pushed to feeding station each time, in addition to the feeding confusion problem that easily appears when multiple material stacks, the first flow baffle and second flow baffle of the structure can guide material to move stably upwards in pushing process, ensure the accuracy of feeding sequence.

The application discloses a flexible array ultrasonic full free contour inversion method without prior position, and belongs to the technical field of ultrasonic nondestructive testing. In view of the problem that the existing method depends on external equipment or prior geometric constraint and has poor universality, the application only utilizes the equal-interval transverse arrangement characteristics of an array, parameterizes the array contour with a Bezier curve full free parameter, and all the longitudinal coordinates of control points are to-be-optimized variables; a double-objective function containing an imaging envelope energy, a curvature penalty term and a circular phase variance is constructed, a multi-objective optimization algorithm is adopted to obtain a Pareto optimal solution set, and the optimal solution is selected after normalization to determine the spatial position of each array element. The application realizes full free inversion, does not need prior values of array element positions, improves contour reconstruction precision and image quality, and is suitable for health monitoring and nondestructive testing of complex curved surface structures.

This invention discloses a method and system for dynamically determining the impact of construction projects on hydrological monitoring, relating to the field of hydrological monitoring technology. The specific steps are as follows: constructing an evaluation index system that couples static and dynamic indicators; assigning static weights to static indicators using the analytic hierarchy process (AHP) and dynamic weights to dynamic indicators using the entropy weight method; calculating the total weight based on the static and dynamic weights; constructing and training a machine learning model; inputting the static, dynamic, and total weight data into the trained machine learning model; and outputting the impact level; automatically matching response measures based on the impact level and trend prediction results. This invention proposes a dynamic weight correction algorithm based on project stage and hydrological conditions, applying machine learning algorithms to determine the impact level of construction projects on hydrological monitoring, achieving a closed-loop linkage from level determination to measure matching, and solving the problems of singular and disconnected evaluation in existing technologies.

The invention discloses an automatic hepatic fibrosis staging method and system based on deep learning, and the method comprises the following steps: S1, obtaining T1WI and T2WI original image data of a patient, carrying out the data preprocessing and liver segmentation of the original image data, and obtaining a T1 weighted image data set and a T2 weighted image data set; s2, a DMF-Vheat hepatic fibrosis staging model is constructed, the staging model adopts a double-sequence classification architecture and comprises a T1 branch network, a T2 branch network and a fusion network, and a heat conduction operator layer and a mixed attention module are adopted to extract and process complementary information of T1WI and T2WI sequences; s3, putting the T1 weighted image data set and the T2 weighted image data set into the staging model for training, and optimizing the staging model; and S4, outputting a hepatic fibrosis staging result through the staging model. According to the method, complementary information of T1WI and T2WI is fully utilized through the multi-mode deep learning network, and the accuracy and practicability of hepatic fibrosis staging are remarkably improved.

The utility model relates to a kind of warehouse-in and warehouse-out management devices, comprising: workbench, for placing the product to be managed, label is equipped on the product to be managed;Reading mechanism, be located on workbench, for reading the label on the product to be managed;Its characterized in that further include: multiple storage box, be located on workbench;Grabbing component, for grabbing the product to be managed, the grabbing component can move on the plane where workbench is, and can move up and down relative to the storage box;Driving mechanism, with grabbing component drive connection, for driving grabbing component moves;Controller, with driving mechanism, grabbing component and reading mechanism electric connection, the controller is configured to:can store the location of empty storage box, product label after warehousing and the location of storage box of product warehousing, and according to warehouse-in and warehouse-out demand and corresponding control driving mechanism and grabbing component are actioned.This warehouse-in and warehouse-out management device can realize the automatic warehouse-in and warehouse-out of product, without manual intervention, improve work efficiency.

The invention discloses a sea cucumber accurate fishing robot suitable for a shallow sea culture area, and relates to the technical field of aquaculture equipment.The sea cucumber accurate fishing robot comprises a rack, an equipment cabin, a collecting cabin, a power supply cabin and a plurality of propellers are installed on the rack, and a fishing mechanical arm matched with the collecting cabin is installed on the front side of the rack; a precise fishing framework is arranged in the equipment cabin, the precise fishing framework identifies the positions of sea cucumbers in the shallow sea culture area and controls the fishing mechanical arm to fish the sea cucumbers and then put the sea cucumbers into the collecting cabin, and a power supply unit is arranged in the power supply cabin to supply power to the precise fishing framework and the fishing mechanical arm. Through fusion perception, turbid water body image enhancement and accurate positioning, full-process autonomous accurate fishing of the sea cucumbers in the shallow sea high-turbidity environment is achieved, manual diving operation is replaced, the fishing efficiency and the product quality are greatly improved, and intelligent upgrading of the sea cucumber culture industry is promoted.

The application discloses a high-precision spectral noise elimination method and system based on TDLAS technology and relates to the technical field of gas concentration optical detection. The method obtains the center frequency and half-width parameter of a Lorentz model by fitting the standard gas sampling data, determines the adaptive cutoff frequency according to the center frequency and the half-width parameter, and performs digital low-pass filtering on the to-be-detected gas sampling data. The filtered data is divided into an absorption interval and two non-absorption intervals. The local phase information of the interference fringes in the non-absorption intervals is extracted and weighted third-order polynomial fitting is performed to obtain the baseline of the whole region. The application extracts the local phase of the interference fringes in the non-absorption intervals in real time and converts the local phase into the basis for weighted fitting. The processing link is constructed by combining adaptive filtering and constrained Lorentz fitting. The phase extrapolation compensation is used to eliminate the residual error of the interference fringes caused by temperature fluctuation, the spectral absorption area more accurately reflects the real absorption strength, and thus the precision of low-concentration gas detection is improved.

The invention relates to the technical field of medical supplies, and provides a partitioned air pressure head type symmetry monitoring auxiliary correction device which comprises a pillow body, and a floating plate, an upper shell plate, a middle shell and a base are sequentially arranged in the pillow body from top to bottom; the floating plate is used for bearing a head contact part, the upper shell plate is provided with a honeycomb-shaped hole site and a guide hole which are used for installing an elastic contact part and a pressure conduction part respectively, an installation cavity is formed in the middle shell and used for containing a control adjusting part, and the base is used for being connected with an angle adjusting module; by arranging the head shape symmetry degree monitoring module, the head contact pressure can be collected in real time; the honeycomb type air bag units can cover a head contact area without dead angles, and head pressure is converted into air bag deformation; the pressure conduction assembly converts the deformation signal into a mechanical displacement signal and transmits the mechanical displacement signal to the pure mechanical intelligent control unit.