202results about How to "Achieve high efficiency" patented technology

The invention relates to a cloud side-end integrated collaborative digital-intelligent traffic collaborative management and control method, system and device and a medium, and the method comprises the steps: dynamically adjusting the main line speed limit and ramp control rate through driving main line variable speed limit and traffic induction collaborative management and control based on a hierarchical control architecture, so as to enable the performance of a regional road network to be optimal; a collaborative optimization framework is constructed and utilized under a hierarchical control framework, an optimal control scheme of a single ramp is expanded to each partition of a road network in a random environment, and an optimal joint behavior strategy and a behavior selection strategy of each agent are determined, so that adaptive collaborative control of each agent is realized; and a traffic flow optimal equalization strategy of the whole road network is obtained. Therefore, by integrating a main line variable speed limit and traffic induction collaborative management and control technology, a main line and multi-ramp collaborative optimization framework and intelligent agent configuration, optimization of regional road network performance, optimal balance of overall road network traffic flow and improvement of traffic management and control accuracy and response speed are achieved.

The invention provides a machine learning-based multi-dimensional auxiliary decision analysis method and system for power supply of a distribution network. The method comprises the following steps of: S1, acquiring historical data and historical electrical load data of the distribution network; s2, obtaining a power supply demand prediction model through the long and short term memory network and the historical data of the distribution network; s3, obtaining a load change model through a time sequence prediction algorithm and historical electrical load data; s4, identifying the real-time operation data of the distribution network based on the output of the steps S2 and S3 to obtain a power supply capacity change trend and a load margin; s5, establishing a comprehensive objective function based on the output in the step S4, performing optimization solution on the objective function through a genetic algorithm, and outputting an optimal power supply decision scheme; and S6, executing the output of the step S5, monitoring the power supply operation parameters of the distribution network in real time, and dynamically adjusting the optimal power supply decision scheme based on the power supply operation parameters of the distribution network. According to the invention, the reliability of distribution network power supply is improved, and the dynamic adjustment and optimization of the distribution network power supply decision scheme are realized.

The invention relates to the technical field of disaster prediction and early warning, in particular to a rural water supply project drought disaster prediction and early warning method and system. The method comprises the following steps: acquiring a hydrological data set; performing data preprocessing on the hydrological data set to generate a hydrological core processing data set; performing data feature extraction on the hydrological core processing data set to generate a hydrological feature data set; quantifying the hydrological characteristic data set to generate a multi-water-source drought early warning threshold calculation algorithm; constructing a multi-dimensional interaction model by using a multi-water-source drought early warning threshold calculation algorithm in combination with the hydrological characteristic data set, and generating a multi-source hydrological drought early warning and prediction model; therefore, by optimizing hydrological data processing and early warning threshold calculation, the problem of inaccurate prediction caused by inconsistent multi-source data in a traditional early warning system is solved, and the accuracy and reliability of early warning of drought disasters are greatly improved.

The invention relates to the technical field of digital printing machines, in particular to an intelligent ink droplet control method and system of a digital printing machine and the digital printing machine. The method comprises the steps of real-time data acquisition, multi-dimensional parameter modeling, real-time ink droplet behavior prediction, self-adaptive ink jet parameter adjustment, closed-loop feedback control, medium characteristic self-adaptive matching, intelligent multi-region optimization and environmental factor compensation. Ink droplet behaviors and environmental data are collected in real time through a high-speed camera and various sensors, a nonlinear model is constructed by using a deep learning technology, and a dynamic parameter optimization curve is generated. According to the method, the printing quality and efficiency are remarkably improved, and the method is suitable for various media and complex scenes.

The invention discloses a liquid fertilizer application effect analysis method based on self-supervised learning. The method comprises the following steps: S1, generating initial feature data; s2, environment feature representation is generated based on a heterogeneous environment self-adaption module; s3, extracting short-term and long-term spatio-temporal characteristics of the liquid fertilizer application effect based on the dual spatio-temporal characteristic decoupling and dynamic fusion model, and generating comprehensive spatio-temporal characteristic representation; s4, generating fertilization characteristics in different situations by utilizing self-supervised learning, and eliminating environmental interference factors through a causal reasoning module; s5, generating a fertilization intention feature, and dynamically adjusting a fertilization strategy; s6, when the difference between the prediction result and the actual effect exceeds a threshold value, triggering a re-learning module to update model parameters; and S7, carrying out integrated optimization, realizing feature sharing and task coordination through multi-task collaborative learning, and carrying out automatic tuning by utilizing Bayesian optimization. The intelligent analysis of the liquid fertilizer application effect is realized through the self-supervised learning and multi-task collaborative optimization method.

The invention relates to the technical field of printing and silk-screen identification, and particularly discloses an OCR (Optical Character Recognition) method and system for PCB (Printed Circuit Board) component printing and silk-screen. PCB images under visible light, near-infrared and ultraviolet light wavebands are acquired by utilizing a multispectral imaging technology, the visibility of characters is improved, and the interference of a high-reflection or shadow region is inhibited; the quality coefficient of the image is obtained by calculating the structural similarity of the image on different scales, and the quality coefficient is compared with a preset threshold value, so that a high-quality image is automatically screened out; the method comprises the following steps of: comprehensively analyzing each region by extracting contrast, brightness and sharpness data of a high-quality image, and determining and marking effective character regions; a dynamic time warping algorithm is adopted to calculate a deviation coefficient between an actual silk-screen characteristic and a design file characteristic, and whether a printing error exists in silk-screen or not is accurately recognized by comparing the deviation coefficient with a preset threshold value.

The invention relates to the technical field of sewage treatment, and discloses an advanced treatment method and device for ship oily wastewater, and the method comprises the following steps: carrying out preliminary filtration on the ship oily wastewater to remove suspended solids and particulate matters so as to obtain first oily wastewater; the first oily wastewater is subjected to coalescence separation treatment, floating oil, dispersed oil and a small part of emulsified oil in the wastewater are removed, the oil content in the wastewater is reduced to 500 ppm or below, and second oily wastewater is obtained; the second oily wastewater is subjected to cross-flow ultrafiltration deep treatment, emulsified oil and dissolved oil are intercepted, produced water and concentrated water are obtained, and the concentrated water serves as third oily wastewater; the third oil-containing wastewater flows back to the first oil-containing wastewater, and discharged water is obtained after the produced water is detected to be qualified. The invention provides a primary filtration, coalescence separation and ultrafiltration three-stage circulating filtration method, emulsified oil and dissolved oil can be efficiently separated and removed, oil resource recovery is realized, and membrane pollution is reduced.

The invention discloses a sinking type city global governance comprehensive management and control method and platform, and relates to the technical field of city management, and the method comprises the steps: deploying intelligent sensing equipment at a key position of a target city, and capturing multi-dimensional city operation data in real time; the interactive social media platform is used for acquiring Internet feedback data of target city residents; carrying out cross-domain data integration on the obtained data, carrying out spatio-temporal data analysis, obtaining a city operation change rule, carrying out simulation decision simulation, and generating a regional governance decision; in the execution process, treatment effect feedback is collected, and strategy adjustment and algorithm model optimization are carried out. The technical problems of lack of effective information sharing and collaboration among departments, lagging of dynamic change response of the city and low timeliness and accuracy in a traditional city governance mode in the prior art are solved, and the technical effects of precision and high efficiency of city governance are achieved through sunken global governance comprehensive management and control.

The utility model discloses a moxibustion fumigation traditional Chinese medicine external treatment device which comprises a display control bin, a radio frequency induction bin and an independently-installed chip medicine cake box which are connected with one another. A radio frequency chip, a radio frequency coil and a temperature-resistant protective cover are installed in the radio frequency induction bin, a heat transfer through hole and a heater are arranged at the bin bottom, and an independent chip medicine cake box is installed at the lower end of the outer bottom. According to the device, information of the chip medicine cake box is read through a radio frequency chip and a coil of the radio frequency induction bin, and parameters such as optimal working time, working temperature and working wavelength of different traditional Chinese medicine external treatment medicines or non-medicine materials such as moxibustion or fumigation are matched; convenience, digitization, intelligentization, safety and standardization of moxibustion fumigation and other hundreds of traditional Chinese medicine external treatment methods can be achieved.

The invention discloses a digital twin model evolution method and system based on constructional engineering. The invention relates to the technical field of constructional engineering. Related data of the long-distance water conveyance project are collected, wherein the related data comprise BIM model data, oblique photography three-dimensional model data and GIS data; meanwhile, the data are preprocessed, including format conversion, coordinate unification and denoising, so that the quality and consistency of the data are ensured. A three-dimensional BIM model of the engineering facility is constructed based on Autodesk Revit according to a design drawing and collected data, the facility and equipment in the BIM model are coded according to a KKS coding rule, and a coding database is updated; according to the method, the BIM model data, the oblique photography three-dimensional model data, the GIS data and other multi-source data are fused, a refined three-dimensional scene model is constructed, and comprehensive integration of engineering facility information is achieved. Therefore, data sharing and collaboration among different departments and professions are facilitated, and the overall working efficiency is improved.

The invention provides a preparation method of a Cu-based catalyst for acetalation reaction, which comprises the following steps: depositing Pt on the surface of a pretreated carbon carrier through an atomic layer deposition method, depositing a metal oxide CuOx on the surface of the metal Pt, and performing high-temperature reduction and medium-temperature oxidation treatment to obtain the Cu-based catalyst. According to the method, the size of Pt particles and the thickness of CuOx can be accurately controlled on the atomic scale. The catalyst is applied to the acetalation reaction of aldol, the size of Pt particles and the thickness of CuOx can be accurately controlled on the atomic scale in the hydrogen atmosphere, the Pt-coated CuOx core-shell structure catalyst with cuprous as the main component is obtained on the surface of the carbon carrier, and the catalyst has the catalytic performance of high acetal yield due to the stable cuprous structure. The preparation of the catalyst is simple and controllable, and the greenization of the aldol acetalation reaction process and the high efficiency of the product are realized through the catalyst.

The invention discloses an AI processor scheduling method, device and equipment based on a job scheduling system and a storage medium, and relates to the technical field of computer science, and the method comprises the steps: collecting and preprocessing historical data, and defining a state space of a scheduler based on the historical data; according to the state space of the scheduler, defining an action space of the scheduler and designing a reward function; constructing a resource scheduling model based on the action space and the reward function, and identifying an optimal scheduling strategy; in the process of executing the optimal scheduling strategy, continuously collecting new data to update the resource scheduling model, and sorting task priorities in the resource scheduling process; and based on the sorting result and the optimal scheduling strategy, the scheduler performs resource scheduling on the tasks in sequence. According to the invention, the action space and the comprehensive reward function are defined to realize fine scheduling control; a resource scheduling model is constructed, an optimal strategy is identified, and system adaptability is enhanced; the model is continuously updated, the task priority is adjusted, and the resource utilization efficiency is improved.

The invention relates to the technical field of machining equipment, in particular to a semi-automatic adjustable three-roller plate rolling machine which comprises a supporting assembly, a material pressing assembly, a material pushing assembly and a connecting assembly, the supporting assembly comprises a supporting frame, and the material pressing assembly comprises two fixing bases, an upper roller, two lower rollers and a driving part; the two fixing seats are connected to the two opposite sides of the supporting frame respectively, the two ends of the upper roller are rotationally connected to the two fixing seats respectively, the heights of the axes of the two lower rollers are flush, a material rolling gap is reserved between the upper roller and the lower rollers, and the driving part drives the lower rollers to rotate. The pushing assembly is used for pushing the cylinder to move, the connecting assembly comprises a closing piece, an arc groove allowing the cylinder to slide through is formed in the top of one fixing base, the fixing base is divided into a fixing part and a connecting part, the closing piece comprises a closing rod, one end of the closing rod is rotationally connected to the fixing part, the other end of the closing rod is used for supporting the connecting part, and the pushing assembly drives the closing rod to rotate; the device has the effect that the problem that personnel cannot conveniently take out the cylinder is solved.

The invention discloses a measurement and control system and method for accurate receiving of long-distance pipe jacking pipe joints. The measurement and control system comprises an information acquisition module, an information transmission module, a data storage module, a data analysis module, an alarm module, a pipe jacking machine deviation correction module, an intelligent decision module and a relay control module. The measurement and control method comprises the steps of position and posture monitoring of the pipe jacking machine, position deviation analysis, posture deviation analysis, intelligent control over position and posture deviation correction of the pipe jacking machine, measurement and control received by the pipe jacking machine and determination of the relay chamber compensation length. Real-time position and posture data of the pipe jacking machine are monitored and analyzed through an Internet of Things sensor and a neural network technology, and intelligentization, real-time performance and high efficiency of position deviation value and posture deviation value monitoring and control of the pipe jacking machine are achieved. And by calculating the number of the remaining in-hole pipe joints and the compensation length of each intermediate jacking station, it is ensured that the front end face of the first jacking pipe joint is located at the receiving well portal design position, and the rear end face of the tail jacking pipe joint is located at the starting well portal design position.

The invention relates to the field of disassembly of packing belts of packing boxes, and particularly discloses an automatic recycling and sectioning device and method for a box packing belt, the automatic recycling and sectioning device comprises a recycling and feeding mechanism, a recycling and cutting mechanism, a tail end discharging mechanism, a power mechanism and an auxiliary device, and the recycling and feeding mechanism comprises a pressing air cylinder, an upper roller assembly and a lower roller; the recycling and shearing mechanism comprises a belt cutting air cylinder cutter set. The tail end discharging mechanism comprises a pressing belt wheel air cylinder, an upper pressing belt wheel and a lower pressing belt wheel. The power mechanism comprises a motor; the auxiliary device comprises a position sensor, a rack and a synchronous belt. According to the recycling and sectioning method, the two ends of the packing belt are tensioned, and then the upper blade and the lower blade are used for shearing. By the adoption of the packing belt recycling device, packing belts with different thicknesses can be recycled according to whether the packing belts are bent or not, the packing belts can be prevented from remaining in equipment through an internal mechanical structure, efficient operation of the mechanism is guaranteed, and automation and high efficiency of packing belt recycling are achieved.

The invention relates to the technical field of image processing, in particular to a seedling condition and growth vigor identification method and system.The method comprises the steps that firstly, images of plants in the growth process are collected, plant areas are extracted, the frequency importance degree is determined according to the occurrence frequency of gray values in all the plant areas, and then the gray complexity degree of the gray values is calculated; the frequency importance and the gray complexity are multiplied and normalized to obtain the importance so as to distinguish an important gray value and an unimportant gray value, then the feature vector of each plant area is constructed based on the important gray value, and finally the feature vector is input into a pre-trained decision tree classification model, so that the seedling condition and growth vigor category of each plant area is obtained, and the seedling condition and growth vigor category of each plant area is obtained. According to the method, the image features are finely extracted and effectively quantified, so that the accuracy and stability of decision tree classification are improved, and the seedling condition and growth vigor of each plant area can be accurately identified.

The invention discloses an intelligent park garbage recycling device and a using method thereof. The intelligent park garbage recycling device comprises a main machine; the main machine is mounted on the crawler-type mounting seat, and the crawler-type mounting seat can drive the main machine to move; the garbage can is mounted on the main machine and can be turned over; the suction type garbage collector is installed on the main machine, the suction type garbage collector is communicated with the garbage can, and the suction type garbage collector can suck garbage into the garbage can; and the mechanical arm is installed on the main machine, the mechanical arm can clamp and send garbage into the garbage can, intelligence, automation and high efficiency can be achieved, the garbage recycling and treatment level is improved, and positive influences are brought to the urban living environment and resource utilization.

The invention provides a modulation mode switching synchronous rectification soft switching buck type constant voltage power supply which comprises an input filter circuit, a power inductor L1, an output filter circuit, a main switch tube Q1, a synchronous rectification tube Q2 and a control circuit. The left end of the power inductor L1 is connected to the source electrode of the main switch tube Q1 and the drain electrode of the synchronous rectifier tube Q2, the right end of the power inductor L1 is connected to the positive electrode of the output capacitor, the drain electrode of the main switch tube Q1 is connected to the positive electrode of the input capacitor, and the source electrode of the synchronous rectifier tube Q2 is connected to a reference ground through a power inductor current sampling resistor RS1; and the control circuit respectively controls the on-off states of the main switch tube Q1 and the synchronous rectifier tube Q2 so as to realize zero-voltage conduction of the synchronous rectifier tube Q2. Through the characteristics of different modulation modes, light-load and heavy-load modulation mode switching and synchronous rectifier tube soft switching are realized, and the loss of the switching power supply under different conditions is reduced.

The invention provides a welding seam path planning method and system based on robot kinematics and a medium. The method comprises the following steps: acquiring three-dimensional data of a welding seam; establishing a robot kinematics model; a coordinate conversion step; a path planning step; a collision detection and optimization step: performing collision detection in combination with a collision detection algorithm in the path planning process, and entering an optimization sub-step if it is detected that a collision risk exists on the robot path; if the collision risk does not exist, determining the current motion parameter as an optimized motion parameter, and determining a path corresponding to the current motion parameter as a final planning path; and a path execution control step: applying the optimized motion parameters to a robot control system, and controlling the robot to carry out movement and welding operation along the final planned path. According to the method, path continuity is achieved, the collision risk is avoided, the accuracy and safety of the welding process are improved, and wide market prospects and economic benefits are achieved.

The invention discloses a device and method for measuring the photothermal effect of a two-dimensional material, and the device comprises an optical bread board, the optical bread board is provided with a light heating module, an electric heating module and a measurement module, the measurement module is provided with a to-be-measured material, and is used for supporting the to-be-measured material and obtaining the temperature of the to-be-measured material; the electric heating module is used for heating a to-be-tested material and obtaining the temperature in the heating process; the light heating module is used for illuminating a to-be-tested material and acquiring light power during illumination; the measurement principle advantage of the measurement device is remarkable, the Newton's cooling law is used as the core calculation principle, a physical model for calculating the photothermal conversion efficiency is simplified, the measurement device can calculate the photothermal effect of the two-dimensional material more visually and accurately, the measurement cost can be effectively reduced, and the measurement operation can be simplified.

The invention relates to a vehicle-mounted unattended intelligent mobile emergency cabinet which comprises a system configuration module, a material detail directory tree module, a face recognition and authority verification module, an automatic order generation and inventory updating module, an inventory alarm and decision-making auxiliary module, a gravity sensing unit and a data processing module. The system configuration module is responsible for configuration of various information and parameters, the material detail directory tree module provides and manages material information, the face recognition and authority verification module guarantees safety, the automatic order generation and inventory updating module realizes inventory management and automatic replenishment, and the inventory alarm and decision-making auxiliary module performs intelligent prediction and alarm. The gravity sensing unit monitors material weight changes, and the data processing module manages and analyzes data in a unified mode. The whole system improves the intelligence and efficiency of material management, reduces the labor cost, is suitable for the emergency material supply field of electric power engineering and the like, and has remarkable practical value and application prospect.

The invention relates to the technical field of data processing, and discloses a data processing method and system for soil detection, and the system comprises an acquisition module which comprises a sensor network and a node control unit which are arranged in a detection area; a preprocessing module configured to determine whether there is a missing value; the data complementation module is configured to obtain the position of the missing value when the missing value is judged to exist, and determine an initial missing value according to the weighted average of the soil information on the two adjacent sides of the position of the missing value; the data correction module is configured to correct the initial missing value; and the storage module is configured to store the humidity value, the temperature value, the rainfall data, the plant coverage data, the terrain data and the corrected final missing value and establish a corresponding database. By improving a data processing flow and a correction mechanism, the accuracy and reliability of soil detection data are improved, and powerful technical support is provided for agricultural production and soil management.

The invention discloses a green circular agricultural system which is scientific in system layout, and vegetable greenhouses are designed around paddy fields, ditches and roads to facilitate logistics. Sturdy and durable concrete frames and specially-made hollow cement bricks are adopted for block intervals, hollow channels are formed in internal roads, drainage and ventilation are facilitated, and combination of paddy fields and aquaculture is supported. In the rice growing period, the water surface gradually rises to the appropriate height of the rice to promote symbiosis of the rice and aquatic products; after ripening, the water surface is lowered to-0.5 m to facilitate harvesting, then the water surface is raised to + 0.5 m, and the water surface is lowered to-0.5 m in spring of the next year to be air-dried and then directly planted, so that efficient circulation is formed. A solar photovoltaic panel is arranged on the top of the sightseeing channel, green energy utilization is achieved, and water flowing is enhanced through an unpowered water pumping device. Excrement is converted into fertilizer by a septic tank in a spotted pig breeding area, so that resource recycling is realized. In the slack season, the ditch and the paddy field can be jointly used for aquaculture. The sightseeing function is achieved, the land utilization efficiency is improved, sustainable development is promoted, and high efficiency and diversification of agricultural production are achieved.

This invention relates to the field of welding fixtures for busbar trunking production, and particularly to a welding fixture for busbar trunking production. The fixture includes a base, a fixed column fixedly connected to the base, a top seat fixedly connected to the top of the fixed column, a welding fixture mechanism rotatably connected to the top seat, a rotating seat rotatably connected to the outer wall of the bottom end of the fixed column, multiple placement frames fixedly connected to the rotating seat, an automatic feeding mechanism rotatably connected to the placement frames, and a movable limiting plate rotatably connected to one side of each placement frame. By setting a bending frame adapted to the shape of the bent busbar trunking, and simultaneously setting rotatable rotating rods at multiple positions on the bending frame, the rotating rods drive the abutment wheel to abut against the inner wall of the bent busbar trunking when rotated, thereby achieving clamping of the bent busbar trunking. This avoids the loosening or deformation problems caused by the unsuitable clamping method of traditional fixtures, thus improving the stability during the welding process.

The invention belongs to the crossing field of fine chemical engineering, crystal engineering and continuous production technologies, and particularly relates to a process and a device for continuously preparing 1, 3-cyclohexanedione crystals. The method comprises the following steps: respectively introducing a pre-cooled 1, 3-cyclohexanedione monosodium salt aqueous solution and an acidifying agent into a static mixer through a metering pump for mixing, introducing the materials into an aging tank for aging, and carrying out solid-liquid separation on the aged materials to obtain 1, 3-cyclohexanedione crystals. The invention provides a process and a device for continuously preparing a 1, 3-cyclohexanedione crystal, the process and the device are a brand-new continuous acidification crystallization process and system based on a static mixer, and aims to fundamentally eliminate local supersaturation, realize accurate control of the crystal form and morphology of 1, 3-cyclohexanedione and produce a high-quality flaky crystal form product. And the continuity, the stabilization and the high efficiency of the production process are realized.

A cactus peeling and deburring device relates to the field of automation equipment and comprises a conveyor belt mechanism, a pushing mechanism is arranged on the left side of the conveyor belt mechanism, and a thickness detection mechanism, an end cutting mechanism and a peeling mechanism are arranged over the conveyor belt mechanism. According to the cactus peeling and deburring device, the conveyor belt mechanism, the pushing mechanism, the thickness detection mechanism, the end cutting mechanism and the peeling mechanism are integrated, and automatic processing of cactus is achieved. According to the design, the treatment efficiency is improved, the complexity and the labor intensity of manual operation are reduced, and meanwhile, the treatment quality and the treatment precision are guaranteed.

The invention discloses a lightweight embedded implementation mechanism of a Rogowski coil inter-phase interference compensation MFNN method, and the mechanism comprises the steps: training an MFNN model, and achieving the Rogowski coil inter-phase interference compensation; floating-point number parameters of the MFNN model are lightened, and memory occupation and calculation amount of the model are reduced; reproducing an MFNN model structure by using a C language and realizing parameter loading, and reproducing an inference result of the MFNN model under the Pytorch framework; mFNN model reasoning based on the C language is optimized through parallel computing; and deploying a C language-based parallel computing MFNN model in an edge computing environment to realize the real-time compensation of the inter-phase interference of the Rogowski coil.

The invention relates to the technical field of the building industry, and discloses a fabricated steel structure and an installation method, the fabricated steel structure comprises frame columns and frame beams, and the frame columns and the frame beams are connected in a matched mode; the modular node units are detachably connected with the frame columns and the frame beams respectively; the modularized joint unit comprises a first connecting plate and a second connecting plate, the sides, deviating from each other, of the first connecting plate and the second connecting plate are suitable for being connected with one ends of the adjacent frame columns correspondingly, and a box type steel column section is arranged between the first connecting plate and the second connecting plate; the two ends of the box type steel column section are connected with the first connecting plate and the second connecting plate correspondingly. The modularized joint units are further provided with I-shaped steel beam ends, and the two I-shaped steel beam ends are connected with the two ends of the box type steel column section respectively in the extending direction of the frame beam.

This invention relates to the field of chip inspection technology, and more particularly to a chip non-destructive testing system based on embedded current scanning. The system includes a current scanning module, an information acquisition module, a data analysis module, an abnormal scanning region generation module, and a scanning path generation module. Instead of simply performing a higher-density secondary scan of the entire chip, this invention intelligently filters out abnormal scanning regions requiring special attention based on the initial scan results and calculates their scanning priority. This allows valuable inspection time and computing resources to be concentrated on the most suspicious and severe areas, avoiding unnecessary repeated scanning in normal areas. The system dynamically selects the optimal scanning path based on the regularity of the region shape; for example, parallel lines are used for regular regions, and radial lines are used for irregular regions. This makes the scanning path more closely match the geometric features of the defect, obtaining a more complete region characterization with fewer scanning points, resulting in higher path planning efficiency.

The invention relates to the technical field of agricultural automation control, and particularly discloses a honeysuckle polyploidy cultivation environment regulation and control system based on intelligent sensing, and the system comprises a multi-source fusion sensing module which is used for collecting environment and plant physiological data; the physiological state interpretation and stage recognition module is used for judging a growth stage through a deep learning model; the dynamic environment strategy generation module is used for dynamically generating an environment target value according to the stages and the physiological parameters; and the cooperative execution control module is used for controlling a cooperative executor through hierarchical prediction to realize accurate regulation and control. According to the method, accurate matching of environment regulation and real-time physiological needs of plants can be achieved, the induction success rate and the seedling robustness are improved, and meanwhile energy consumption is reduced.