48results about How to "Guaranteed pertinence" patented technology

The invention provides an obstacle association method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining measurement data from at least one sensor, and enabling the measurement data to comprise a plurality of obstacle measurements and detection information thereof; for each obstacle measurement to be associated, selecting a target reference point type from a plurality of predefined candidate reference point types according to detection information of the obstacle measurement to be associated; determining a measurement reference point from the detection information of the obstacle measurement based on a target reference point type selected for each obstacle measurement; determining a matching measure between a measurement reference point and a track reference point based on the measurement reference point measured by the obstacle and the track reference point determined for the fused track; according to the calculation result of the matching measurement between all the obstacle measurements and all the fused tracks, the association relationship between the obstacle measurements and the fused tracks is determined, and the accuracy and the reliability of obstacle association can be remarkably improved by adopting the method.

The invention provides an urban green infrastructure comprehensive benefit applicability evaluation method based on subjective and objective weights. The urban green infrastructure comprehensive benefit applicability evaluation method comprises the steps of establishing a basic evaluation system, screening indexes, calculating index weights, calculating quantitative indexes, calculating qualitative indexes, performing grading evaluation, performing standardized score assignment and performing comprehensive evaluation. The basic evaluation system is of a three-layer structure and covers four criteria of runoff regulation and storage benefits, environmental benefits, economic benefits and social benefits and 19 indexes; a subjective weight is determined through an analytic hierarchy process, an objective weight is determined through an entropy weight method, and a comprehensive weight is obtained in combination with a D-S evidence theory fusion method; quantitative indexes are calculated through methods such as hydrological simulation, and qualitative indexes are rated by public; the indexes are unified into dimensionless scores through standardized score assignment, and finally an evaluation result is obtained through weighted summation. According to the method, the applicability quantitative evaluation of matching of the typical green infrastructure and the site condition construction target is realized, and a scientific and quantitative decision support tool is provided for sponge city planning.

The application relates to a matching welding method and system of an automobile bumper, and relates to the technical field of welding, which comprises the following steps: collecting first vibration detection information of a bumper beam clamp, second vibration detection information of an energy absorption box clamp and welding parameters of a welding device; determining first vibration offset parameters according to the first vibration detection information; determining second vibration offset parameters according to the second vibration detection information; analyzing the first vibration offset parameters and the second vibration offset parameters to determine the relative offset amount of the energy absorption box; based on the welding parameters, calling a welding current position point and a current welding power; combining the welding current position point and the relative offset amount to determine welding offset influence parameters; when and only when the welding offset influence parameters meet a preset moving reference reference value, combining the welding offset influence parameters and the current welding power to determine welding adjustment information, and outputting the welding adjustment information. The application has the effect of improving the welding quality of the energy absorption box and the bumper beam.

This invention relates to the field of ultra-high performance concrete (UHVPC) curing technology, and more particularly to an intelligent temperature-controlled curing method for UHVPC. The method includes the following steps: generating preliminary temperature-controlled curing data for concrete based on UHVPC mix proportion parameters and temperature-controlled curing requirements data; analyzing the distributed temperature field characteristics of the pouring nodes using UHVPC pouring node data to generate distributed temperature field characteristic data for the pouring nodes; analyzing the temperature evolution and hydration state of the pouring node temperature field based on the distributed temperature field characteristic data and the preliminary temperature-controlled curing data to generate temperature evolution and hydration regulation state data; and performing dynamic temperature-controlled curing analysis on the preliminary temperature-controlled curing data to generate dynamic temperature-controlled curing data for the concrete. This invention achieves intelligent temperature-controlled curing by combining the application of UHVPC.

The application provides a vehicle operation data collection method and system, computer equipment and medium, and belongs to the field of vehicle data processing. The method comprises the following steps: obtaining vehicle model information and user demand of a vehicle to be collected; determining data analysis service project content options based on a data analysis service project content information table and vehicle model information corresponding information table, and screening data analysis service project content according to the user demand of the vehicle to be collected; generating a natural language text for the data analysis service project content to obtain a vehicle data collection strategy; collecting environmental data and judging based on data collection conditions; when the environmental data falls within the range of the data collection conditions, collecting operation data of the vehicle to be collected according to the data collection project, and obtaining operation data of the vehicle to be collected. The method can dynamically collect data based on the actual operation state, driving environment and user demand of the vehicle, and ensure the effectiveness of operation data collection.

The application provides an AI-based eye health management and lens fitting recommendation method and system, which captures eye state information through a collection device, synchronously acquires optometry data and eye detection data and pre-processes; inputs the data into an AI analysis model, identifies eye features and analyzes eye health conditions, and generates a health assessment report; based on the report, matches correction and protection schemes and screens adaptive contact lenses in combination with eye use requirements; through the linkage of intelligent wearable devices and special function contact lenses, eye data is monitored and health management suggestions are generated, visual expansion effect is realized, and the evaluation results and recommended schemes are continuously iterated and optimized, realizing the individualization and intelligentization of eye health management and lens fitting recommendation.

The invention provides a washing machine. The washing machine comprises an outer barrel, a first washing mechanism and a second washing mechanism; the first washing mechanism comprises a first inner barrel and a first washing piece, and the second washing mechanism comprises a second inner barrel and a second washing piece; the first washing piece and the second washing piece are movably arranged in the first inner cylinder and the second inner cylinder respectively; the first inner cylinder and the second inner cylinder are not communicated with each other and are communicated with the outer cylinder; when the first washing mechanism and the second washing mechanism are in the independent washing state, the first inner drum and the second inner drum are static, and the first washing piece and the second washing piece move independently to wash clothes in the first inner drum and the second inner drum respectively; when the first washing mechanism and the second washing mechanism are in a synchronous dewatering and drainage state, the first washing piece and the second washing piece are static, the first inner cylinder and the second inner cylinder rotate synchronously, and water in the first inner cylinder and the second inner cylinder is discharged into the outer cylinder and is discharged through a drainage port of the outer cylinder; healthy partitioned washing is achieved, and the cleaning effect of small clothes is remarkably improved.

The application relates to the technical field of point cloud data processing, and specifically discloses a UAV point cloud original piece data processing system with a grading naming function; the system comprises the following modules: a boundary division module generates a rectangular boundary suitable for a terrain and screens a to-be-graded original piece; a grading identification module constructs geometric constraints based on a projection distance, completes tower distribution through extreme value judgment and parallel scene processing rules; a naming adaptation module integrates multi-source data to construct a scene feature vector, divides a risk range through clustering, realizes differential naming by adopting multi-source filling and normalization sorting; a feedback checking module locates a preferential analysis interval through deviation analysis, constructs a space neighborhood group and judges a high-risk area, and replaces an original algorithm to complete grading renaming and closed-loop checking by adopting a space index-hash mapping method; the application realizes dynamic optimization of point cloud grading naming, improves grading precision and naming compliance, and provides data support for power transmission line operation and maintenance.

The invention discloses a method for measuring preheating of a laser indirect driving pellet M belt, and belongs to the technical field of inertial confinement fusion diagnosis. The method comprises the steps that a black cavity, a toroidal bent crystal and a recording surface are arranged according to the Bragg imaging relation, diagnosis holes forming a 180-degree normal included angle are formed in the centers of the two side walls of the black cavity, a multi-layer-structure target ball is placed in the center of the black cavity and sequentially comprises a solid ball, a fluorescent layer, a foam layer and an ablation layer from inside to outside, and a shielding cone is assembled in the direction of the diagnosis hole in one side; the laser is converted into a Planck spectrum and an M band after being emitted into the black cavity, the M band penetrates through the ablation layer and the foam layer to induce the fluorescent layer to generate characteristic fluorescence, and the characteristic fluorescence is emitted out through the shielding cone and forms a monoenergetic fluorescence image on a recording surface after being diffracted by the toroidal curved crystal Bragg. Because the fluorescence intensity is in direct proportion to the intensity of the M belt, the preheating intensity and spatial distribution of the M belt of the pellet can be accurately obtained through the image. According to the method, targeted measurement of M-belt preheating is realized, the measurement precision is high, the repeatability is high, and key data support is provided for pellet compression efficiency evaluation in inertial confinement fusion research.

The invention discloses an information processing method and device for extracting anorectal pressure frequency domain characteristics, equipment and a medium, relates to the technical field of medical instruments, is applied to a computer device and is used for receiving original pressure information of various anorectal channels at different acquisition time points, and the original pressure information is acquired by an anorectal pressure measuring catheter; integrating the original pressure information of various anorectal channels under a target analysis time window to obtain a time domain pressure signal; performing short-time Fourier transform on the time domain pressure signals to obtain power spectral density of the pressure signals of various anorectal channels in the target analysis time window; and based on a target frequency band corresponding to the target analysis time window, extracting frequency domain features related to anorectal physiological functions from the power spectral density. And the frequency domain characteristics in anorectal pressure measurement are accurately extracted.

The application discloses a kind of crop planting layout optimization methods.The optimization method includes: obtaining flood simulation data, farmland inundation data, future climate scenario data and crop-related parameters;Determine the key indicators of crop planting layout optimization, the key indicators include crop planting area and crop type spatial allocation;The constraint condition of crop planting layout is constructed, wherein the constraint condition includes constructing crop climate suitability constraint, constructing resource and safety constraint, and constructing space and flood risk constraint;Flood simulation data, farmland inundation data, future climate scenario data and crop-related parameters are imported into the constraint condition, and optimization parameters are generated based on the key indicators and the preset multi-objective intelligent optimization algorithm, and the optimization parameters form the crop planting layout optimization scheme.The technical scheme of the application can effectively meet the climate adaptability and risk prevention and control needs of agricultural production in flood-prone areas.

The invention relates to the technical field of turning equipment, in particular to a turning device for machining a power equipment shell, which comprises a case, a chuck device, a turning tool rest and a turning tool, and further comprises a scrap collecting mechanism, and the scrap collecting mechanism is composed of a scrap guide cylinder, an inner rotating cylinder capable of intermittently rotating, a radial movable frame with a magnet block, a piece of reelable isolation cloth wrapping the magnet block and a scrap collecting box. The main driving part is matched with the first driven part and the second driven part, so that the automatic cleaning process that the multiple magnet blocks circularly stretch out to adsorb cuttings, the isolation cloth is automatically wound after resetting, and the cuttings are discharged to the cuttings collecting box is achieved; according to the iron scrap cleaning device, efficient, drying and automatic collection and treatment of iron scraps in turning of the inner cavity of the cast iron shell are achieved, and the technical problems that traditional wet cleaning is large in pollution, poor in negative pressure adsorption effect and twining of long scraps are solved.

The application belongs to the technical field of traffic signal control, and specifically discloses an intelligent traffic signal lamp emergency linkage control method and system, which comprises the following steps: real-time receiving of task work order data of emergency events, acquisition of event emergency degree, target arrival time limit and planned path; correction of the target arrival time limit based on the event emergency degree, prediction of the number of linkage intersections in combination with the historical average passing speed and the queuing length of the path, and determination of a candidate intersection set; real-time acquisition of the real-time queuing length and signal phase state of the candidate intersection from a road side sensing device, and screening of target intersections that actually require signal linkage; and sending of the target intersections to a signal machine for subsequent control. The application adjusts the dynamic linkage range driven by the emergency degree, and accurately screens the target intersections that actually require signal linkage in combination with the real-time road conditions, thereby effectively reducing the impact of emergency priority control on traffic and further guaranteeing the passing efficiency of emergency vehicles.

The invention relates to the technical field of medical monitoring and intelligent nursing, in particular to a cardiology department patient home nursing monitoring system and method, and the system comprises a dynamic collection module, an intelligent processing module, a safety storage module, a dynamic calibration module and an application service module. The dynamic acquisition module dynamically acquires physiological and behavior parameters of a patient and transmits the acquired parameters to the intelligent processing module; the intelligent processing module performs feature extraction, abnormity identification and illness state trend prediction, and synchronizes a processing result to the secure storage module and the application service module; the safety storage module encrypts and stores the health data of the patient, and the dynamic calibration module adjusts the calibration period of the equipment, performs automatic calibration and feeds back the calibration result to the dynamic acquisition module; and the application service module generates hierarchical intervention information and dynamically adjusts a personalized nursing scheme. Through dynamic acquisition and processing, dynamic calibration, security encryption storage and dynamic adjustment nursing, comprehensive and effective cardiology home monitoring, accurate data and reliable, accurate and safe nursing are realized.

The application discloses a service traffic identification and differentiated deterministic guarantee method for a power grid deterministic network, and relates to the technical field of power communication networks.The method comprises the following steps: analyzing a network packet capture file and constructing a session record table; generating a window-level session slice record based on a sliding time window; constructing a window-level heterogeneous graph containing session nodes and multi-class protocol fingerprint nodes; using a graph learning model to realize service traffic identification, obtaining a service category, a category confidence and a service representation vector; calculating a deterministic bearing demand vector of the service according to the identification result, and generating a differentiated deterministic guarantee strategy in combination with a network state; issuing the strategy to a deterministic network controller or a network scheduling system for execution; and feeding back and optimizing according to network operation indexes after service execution.The application realizes fine-grained identification of different service traffics and differentiated deterministic guarantee, and improves the low-latency, high-reliability and performance predictability of the power grid deterministic network.

The invention relates to the technical field of vehicle-mounted electronic acoustics, in particular to a sound effect control method and system for a vehicle-mounted power amplifier, and the method comprises the steps: collecting vehicle type parameters and interior parameters, and collecting in-vehicle acoustic signals through a microphone array to construct an exclusive acoustic model; generating a customized sound effect parameter packet by adopting transfer learning based on the model, and issuing the customized sound effect parameter packet by OTA; receiving a user interaction instruction, and finely adjusting parameters through the neural network; and playing calibration signal acquisition feedback, verifying frequency response parameters and adjusting to form closed-loop optimization. According to the invention, self-adaptive adaptation is realized through multi-link linkage, the defect of isolated regulation and control in the prior art is overcome, and the pertinence and consistency of sound effect adaptation are improved.

The embodiment of the invention discloses a water level detection control method for a heat preservation tank of a water purifier, and relates to the technical field of water purifiers, and the method comprises the following steps: under the triggering of a water supplementing signal and / or a water taking signal, collecting a real-time water level height sequence of the heat preservation tank within a preset time, and fitting the real-time water level height sequence to obtain a real-time water level height sequence; determining an incidence relation model of the water level height and the water level change time; and when the heat preservation tank is in the water supplementing process or the water taking process, the operation parameters of the water pump and / or the heating body are / is controlled according to the incidence relation model. The real-time real flow velocity can be dynamically measured through the incidence relation model of the water level height and the water level change time, and control errors caused by flow velocity fluctuation are avoided; under the dynamic operation working condition, the operation parameters of the execution mechanism are adjusted in real time through the incidence relation model, the technical problem that the water taking amount is inaccurate in the water taking process is solved, the water level rising trend can be monitored in real time according to the model during water supplementing, and water level overflow is effectively prevented.

This invention relates to the field of display control technology, and specifically discloses a display device brightness adaptive control method based on multimodal environmental perception and deep reinforcement learning. The method includes: real-time acquisition of multi-dimensional environmental perception data and interaction data to generate scene feature identifier vectors; cluster analysis of historical brightness adjustment records of the display device to obtain feature threshold vectors for each usage scenario, and identifying the current scenario; retrieving and executing the initial brightness decision strategy for the current scenario from the policy library while collecting device and user feedback data; constructing a comprehensive reward formula by combining the standard differentiated weights of multiple control objectives in the current scenario with a multi-objective reward formula; calculating the comprehensive reward value of the initial strategy based on the feedback data and the comprehensive reward formula; iteratively updating the brightness decision strategy based on the comprehensive reward value using a priority experience replay mechanism, correcting the scene's baseline brightness or weights, and achieving deep reinforcement learning-driven brightness adaptive control; enabling the display device to adaptively adjust its brightness based on deep reinforcement learning.

Embodiments of the present application provide a kind of air-based equipment cluster cooperative control method, electronic equipment, storage medium and program product, related to air-based equipment cluster control technical field, the method comprises: according to the unexplored unit on exploration map, select the target exploration position to be distributed to multiple air-based equipment, according to the cost of each air-based equipment to reach each target exploration position, obtain the distribution exploration position distributed to each air-based equipment in multiple target exploration positions, after the unit of exploration map is all explored, according to multiple user equipment positions on exploration map, select the target coverage position to be distributed to multiple air-based equipment, according to the cost of each air-based equipment to reach each target coverage position, obtain the distribution coverage position distributed to each air-based equipment in multiple target coverage positions, control air-based equipment moves to distribution coverage position.The embodiments of the present application avoid repeated exploration or omission exploration, and improve the pertinence of communication signal coverage.

The invention discloses a blast furnace feeding data recording method and device, and the method comprises the steps: obtaining ore tank discharging data collected by an ore tank discharging system at a first moment, and storing the ore tank discharging data into a first ore tank discharging array; when the ore tank discharging data in the first ore tank discharging array meets a first preset condition, the first ore tank discharging array is stored in an ore tank discharging batch recording table; acquiring furnace top distribution data acquired by the furnace top system at a second moment, and storing the furnace top distribution data into a first furnace top array; and when the furnace top material distribution data in the first furnace top array meets a second preset condition, based on a comparison result of the ore tank discharging array in the ore tank discharging batch record table and the first furnace top array, storing the material discharging data in the ore tank discharging batch record table into a material distribution record table. According to the method provided by the embodiment of the invention, through step-by-step acquisition, condition judgment and dynamic comparison of the data of the lower system of the ore tank and the furnace top system, accurate recording and efficient management of the material batch data in the feeding process of the blast furnace are realized.

This invention discloses a spray dust suppression structure for engineering construction, including a mobile vehicle and a liquid storage tank mounted on the mobile vehicle. The liquid storage tank contains a filter bucket, and a filter element is installed inside the filter bucket. A pipeline assembly is connected to the inside of the liquid storage tank via a water pump. The pipeline assembly is installed at the top of the filter bucket. The pipeline assembly, which runs through the filter element, connects to the inside of the liquid storage tank and the inner cavity of a sleeve. A scraper is connected to the second output end of a dual-axis motor. In this spray dust suppression structure for engineering construction, the filter element inside the filter bucket filters impurities from the water source. The mixed liquid is pumped into the filter bucket, which not only facilitates cleaning the filter element with the mixed liquid but also effectively blocks dust particles in the mixed liquid, reducing the problem of water quality degradation inside the storage tank. The dual-axis motor drives the scraper to rotate inside the filter bucket, facilitating the removal of impurities and reducing the need for frequent filter replacements, thus reducing maintenance costs.

The application relates to the technical field of loss prediction, and discloses a marketing intervention method and system based on customer loss prediction, which comprises the following steps: performing abnormal fluctuation detection on the interactive behavior data of customers to obtain loss sign data; performing state evolution analysis on the loss sign data to obtain active decline characteristics; performing time sequence trajectory fitting on the loss sign data to obtain an active decline trajectory graph; matching the active decline trajectory graph with the life cycle of the customers, and fusing the static attribute data of the customers to obtain a loss risk multidimensional portrait; performing decision factor analysis on the loss risk driving factors of the customers, comprehensively judging the root cause characteristics after the analysis, and obtaining a loss risk grade; mapping the root cause characteristics and the loss risk grade to a preset strategy intervention library, combining the static attribute data, and generating an individualized intervention strategy; and the application can improve the efficiency of marketing intervention based on customer loss prediction.

The invention discloses a security risk assessment method and system for a multi-scene coordinated virtual power plant, and relates to the technical field of virtual power plant management.The security risk assessment method comprises the steps that physical operation and market transaction full-dimension data are collected, scene division and data matching are conducted, core data of risk events of all scenes are obtained, and a risk rule base is constructed and dynamically updated; and then performing security risk assessment on the current transaction design scheme by using the risk rule base, and establishing closed-loop feedback: assessment-modification-re-assessment, data matching according to scene core features, ensuring pertinence of the assessment data of each scene, adapting to a flexible and exclusive transaction mode of the spot market, and improving the security of the current transaction design scheme. The declaration strategy risk and the performance deviation risk of the spot market are reduced, the core risk caused by the transaction scheme defect is recognized in advance, and the transaction operation safety of the virtual power plant is guaranteed.

The invention relates to the technical field of oil exploitation, in particular to an oil well failure and workover rig workover process simulation method and system, and the method comprises the steps: carrying out the collaborative association mining of static parameter data and dynamic production historical data of a target oil well, and obtaining multi-source associated data; based on the multi-source associated data, knowledge-guided symptom identification is carried out on the target oil well, and a potential failure symptom data combination is obtained; performing feature clustering coding on the potential failure symptom data combination to obtain an oil well failure mode feature library; based on the oil well failure mode feature library, performing matching research and judgment on the current working condition data to obtain a failure mode record; based on the failure mode record, quantitative adaptation evaluation and strategy construction are carried out on the failure risk, and a simulated well repair scheme is obtained; performing logic deduction on the key operation node data based on the well repair simulation scheme to obtain a simulation effect; the efficiency of the oil well failure and workover rig workover process simulation method can be improved.

The application discloses a kind of pilot visual fatigue detection system and method based on artificial intelligence, belong to flight safety monitoring technical field, first by image sensor obtains pilot face video, face positioning and tracking are carried out by neural network, and then blink frequency and critical flicker fusion frequency are extracted from eye area, and head posture motion is analyzed;After the fusion of multidimensional physiological data and behavior characteristics, the initial fatigue index is obtained by inputting the pre-trained visual fatigue evaluation model;Then, in combination with the individual historical fatigue data of the pilot and the current flight task load, the initial fatigue index is dynamically calibrated to generate an optimized visual fatigue score;Finally, according to the score level, a graded warning is started, a personalized and forward-looking fatigue state intervention is realized, and flight safety is effectively improved.

This utility model discloses a detachable sausage tube assembly and its sausage grilling machine, comprising: a sausage tube, plungers, rollers, and side frames. The sausage tube has a hollow cavity inside; the plungers are fitted into both ends of the hollow cavity; the rollers are axially connected to the two plungers, with one end of the roller rotatably positioned within a U-shaped groove, and the other end of the roller being drive-connected to the rotational drive mechanism of the sausage grilling machine. This utility model facilitates the removal of the sausage tube from the equipment, allowing for thorough cleaning of the surface of the sausage tube and areas inside the equipment prone to dripping and accumulating oil stains, ensuring the cleanliness of the sausage grilling machine and preventing food safety issues caused by bacterial growth. Furthermore, each sausage tube can be disassembled, cleaned, and replaced individually. Compared to the cumbersome replacement structure that required disassembling all sausage tubes together, this utility model is easier to disassemble, saves manpower, shortens maintenance time, and has a simpler structure.

This application discloses a robot motion control method, control system, medium, and product, relating to the field of robot motion control. Implementing this application, the control system constructs a digital twin model of the robot, determines the theoretical motion response data of the robot executing motor drive commands, and simultaneously collects the actual motion state data of the robot executing motor drive commands through equipment. The control system separates the actual motion state data into low-frequency motion components and high-frequency vibration components: the low-frequency motion component is used for trajectory correction, generating position compensation commands based on pose deviation; the high-frequency vibration component is used for vibration suppression, determining the stiffness coefficient through energy analysis and generating impedance adjustment commands. This dual feedback control mechanism ensures both the accuracy of the motion trajectory and the suppression of high-frequency vibrations, improving the positioning accuracy and stability of the robot during high-speed movement.

This specification discloses a method, device, and medium for shield tunneling efficiency control based on composite strata, relating to the field of shield tunneling control technology. The method includes: collecting real-time tunneling parameters and shield equipment parameters of a multi-mode shield tunneling machine; determining the current shield strata information of the multi-mode shield tunneling machine based on the real-time tunneling parameters; predicting the shield tunneling process of the multi-mode shield tunneling machine based on the current shield strata information and shield equipment parameters; determining the predicted muck discharge information corresponding to the current shield strata; matching the corresponding muck discharge system based on the predicted muck discharge information to determine an initial muck discharge control scheme; controlling the operation of the current muck discharge system and collecting real-time muck discharge information of the multi-mode shield tunneling machine; adjusting the initial muck discharge control scheme based on the real-time muck discharge information to generate an adjusted muck discharge control scheme; and controlling the operation of the adjusted muck discharge system by adjusting the muck discharge control scheme to achieve shield tunneling efficiency control of the multi-mode shield tunneling machine.

According to the catwalk bearing cable combing method and system, firstly, a monitoring unmanned aerial vehicle is used for conducting cruise scanning, images of catwalk bearing cables are collected in real time, parameters of an intertwining area are determined, the step overcomes the hysteresis quality of traditional manual inspection, the intertwining problem can be found in the early stage, and construction delay is avoided; in the equipment initialization stage, the cable combing device is adjusted according to the intertwining parameters, the pertinence of cable combing operation is ensured, and resource waste is reduced; in the cable combing operation, the operation unmanned aerial vehicle hoists a cable combing device to an intertwining area, cable combing is completed in a pulling mode, traditional gravity dependence is replaced with the method, the risk of high-altitude manual intervention is reduced, and operation safety is improved; according to the whole method, automatic closed-loop management is achieved, manual close-range operation is not needed in the whole process from detection to processing to verification, the method is particularly suitable for large-span catwalk construction, and the construction efficiency and precision are improved.

The utility model relates to the technical field of auxiliary supports, in particular to an auxiliary support for laparoscopic surgery. According to the technical scheme, the device comprises a bottom plate used for supporting, and a height adjusting assembly used for adjusting the height of the laparoscope is fixedly arranged on the upper surface of the bottom plate; the supporting rod is arranged on one side of the upper end of the height adjusting assembly, and an angle adjusting assembly used for adjusting the angle of the laparoscope is fixedly arranged at one end of the supporting rod; the horizontal adjusting assembly is slidably arranged on the supporting rod and used for adjusting the horizontal position of the laparoscope. According to the laparoscope, the influence of hand shaking and fatigue factors of a doctor or an assistant on the position and angle of the laparoscope can be reduced, the stability and accuracy of an operation are improved, meanwhile, the operation visual angle can be optimized, shielding is avoided, the operation effect is improved, and the operation risk is reduced.