941results about How to "Improve environmental adaptability" patented technology

The invention relates to a remote-control system of a stratospheric airship and a control method thereof. The control system is divided to four levels: a decision-making level for executing the selection and switch of a remote-control flight mode according to the actual working state data, and sending a corresponding mode command; a planning level for dynamically planning and generating an airship motor drive command according to the mode command sent by the decision-making level; an executing level for realizing the drive control to an airship motor according to the motor drive command of the planning level; and a perceiving level for finishing the real-time monitoring and data collection of the airship working state, and providing the original data of the airship working state to the decision-making level. The four-level control system architecture design of the control system is capable of simplifying the control device, improving the control efficiency, and fundamentally solving the problems of the function, efficiency and reliability of the near space airship ground and airborne control system.

The invention discloses a microbiological deodorization method, which belongs to the technical field of disinfection and deodorization, and comprises the following steps: S1, preparing a microbial preparation, S2, pre-stirring a strain combination; S3, preparing a deodorant from the prepared composite microbial preparation according to the mass; and S4, putting a prepared deodorant into an ultrasonic atomizer or a spray tower. According to the invention, the microbial preparation is creatively adopted to perform spray deodorization on the odor source, so that the deodorization efficiency is high, the effect is good, the treatment cost of the odor source and odor is effectively reduced, the overall operation difficulty is low, only the polluted area is atomized, the odor is effectively controlled before volatilization, the odor pollution spreading can be effectively controlled, and the influence on the operation environment is avoided; the microbial inoculum is non-toxic, can be naturally degraded, has no residue after deodorization, does not need additional neutralization and filtration, has higher environmental adaptability, and meets the deodorization requirements of small and medium-sized farms and small and medium-sized garbage collection stations.

The invention discloses a cable tunnel autonomous obstacle avoidance inspection method, system and equipment based on multi-sensor fusion and a medium, and relates to the technical field of data processing, and the method comprises the following specific steps: correcting motion data collected by an inspection robot, carrying out pre-integration calculation according to the corrected motion data to obtain motion change data, and carrying out data processing on the motion change data; and predicting a frame state vector of the robot at the current moment, carrying out laser vision tight coupling optimization of the inspection robot, carrying out state prediction on a dynamic obstacle, carrying out collision risk assessment in combination with the frame state vector of the inspection robot, and establishing a path planning objective function to carry out real-time path re-planning. According to the method, the problem that the convergence speed and the real-time performance of a traditional algorithm are difficult to balance in a dynamic complex scene is solved through laser and vision tight coupling optimization. Through dynamic obstacle prediction, probability risk assessment and real-time path planning, an autonomous inspection system with active obstacle avoidance and real-time path generation capabilities is established.

The invention relates to the image processing field, and especially relates to an airborne infrared image ship target segmentation method comprising the following steps: carrying out LBP characteristic value extraction to obtain an LBP characteristic image; obtaining a mode filtering smooth LBP feature image; performing adaptive threshold segmentation; filling a hole area; multiplying the image with the filled hole region by the airborne infrared gray level image pixel by pixel to obtain a region-of-interest image; obtaining an edge detection image; extracting all boundaries of the edge detection image to create a mask image; segmenting the interest region image by using an improved firefly algorithm to obtain a highlight target segmentation image; and multiplying the highlight target segmentation image and the mask image pixel by pixel to obtain a ship target segmentation result image. The ship texture difference is accurately captured through the LBP features, the improved firefly optimization algorithm is combined, different sea conditions and noise interference can be dealt with, the error segmentation rate is reduced, multi-threshold solution is combined, and the segmentation requirements of complex images can be met.

The embodiment of the invention discloses a harmonic compensation method for an angle error of a magnetic encoder, and the method comprises the steps: enabling the magnetic encoder to rotate at a constant speed in a setting mode, collecting sine and cosine signals outputted by the magnetic encoder, and carrying out the calculation through CORDIC, thereby obtaining an initial angle sequence containing a fundamental wave error and a harmonic wave error; extracting each harmonic component through an adaptive wave trap, constructing a harmonic compensation polynomial, and storing each coefficient; in an application mode, a magnetic encoder signal is collected in real time, a current initial angle value is solved, a harmonic compensation amount is calculated according to a current fundamental wave angular frequency and a stored coefficient, and an accurate angle value is obtained by subtracting the compensation amount from the initial angle value. According to the method, external reference signals and a large amount of storage space are not needed, each harmonic error is directly eliminated through a harmonic compensation polynomial, and approximate errors caused by traditional linear interpolation are avoided; and the compensation precision can be improved only by increasing polynomial terms, and the storage requirement is not obviously increased.

The invention discloses a multichannel broadband receiver, and belongs to the technical field of microwave radio frequency and electronic control, the multichannel broadband receiver comprises a multichannel down-conversion assembly, a local oscillator power component, a power interface control panel and a VPX connector, the down-conversion assembly adopts a cavity-divided integrated structure, multiple identical radio frequency links are arranged in the same cavity in parallel, and the VPX connector is connected with the local oscillator power component. Down conversion from a 2-18GHz radio frequency signal to a 1.3-2.3 GHz intermediate frequency signal is realized through two-stage frequency mixing; the power supply interface control board takes an FPGA as a core, integrates the functions of multi-path power supply conversion, driving isolation, state monitoring and the like, and realizes channel gain power failure storage and calling, BIT self-inspection, nanosecond rapid turn-off and multi-parameter real-time monitoring through software and hardware cooperation. Through collaborative innovation of the structure, circuit and control, high integration, high channel consistency, high isolation and high intelligence of the multi-channel receiver are realized, and the multi-channel receiver is suitable for the fields of high-performance radars, electronic countermeasures and the like.

The invention provides a rainfall monitoring method and system based on unmanned aerial vehicle multi-mode noise reduction in the technical field of environment monitoring and unmanned aerial vehicle application, and the method comprises the steps: S1, collecting a visible light image and a long-wave infrared image through a multispectral vision module after an unmanned aerial vehicle takes off, and collecting a rainfall audio from an acoustic cabin through a microphone; s2, carrying out noise reduction processing on the visible light image, the long-wave infrared image and the rainfall audio; s3, extracting a raindrop size distribution histogram and a spatial density thermodynamic diagram based on the visible light image and the long-wave infrared image, and extracting acoustic MFCC features based on rainfall audio; s4, performing feature fusion operation based on the raindrop size distribution histogram, the visual density thermodynamic diagram and the acoustic MFCC features to obtain rainfall intensity; and S5, carrying out cumulant dynamic compensation based on the rainfall intensity to obtain the cumulative rainfall. The rainfall monitoring method has the advantages that the precision, robustness and practical level of rainfall monitoring are greatly improved.

The invention discloses a near-far field communication cooperation and self-discipline decentralized train operation control method, device and system, and belongs to the field of rail transit, near-field communication and middle-far field communication are used for providing train-to-ground, ground-to-train and train data transmission channels, all the transmission channels are fused and work cooperatively, the advantages of two communication modes are reserved, mutual cooperation and redundancy are achieved, and the reliability of the system is improved. According to the invention, trackside equipment is simplified, fine management of track resources is realized, mobile block or virtual coupling is realized, a backup mode for automatic block control can be provided, multiple redundancy of key functions such as train positioning, train position tracking and train-ground communication is improved, intelligent control functions such as automatic driving are easy to realize, and the environment adaptability is strong; train operation control of different rail systems is supported, and reliable, efficient and economical train operation control can be achieved; and meanwhile, a self-discipline decentralized control idea is adopted, global efficient planning operation of the center is utilized, and small-range adjustment of stations and individual trains is utilized, so that efficient operation of the train control system is realized.

The invention discloses an exoskeleton robot abnormal working condition automatic response and risk avoiding decision-making method, and relates to the technical field of exoskeleton, and the method comprises the steps: deploying a plurality of types of sensors to synchronously collect environment data, human physiological data and exoskeleton operation data, and carrying out the preprocessing to remove interference; through fusion of abnormal harmonic detection and a finite-state machine, dangerous working conditions such as wind speed abrupt change are identified, and grades are judged; monitoring eye movement and heart rate variability data in real time, quantifying cognitive load and grading; a decision rule base is constructed, and joint locking and other adaptive risk avoiding decisions are generated in combination with working condition types, grades and cognitive loads; the controller drives the execution mechanism to execute a decision, continuously monitors data at a frequency, dynamically adjusts the decision or recovers a normal mode. According to the method, dangerous working conditions are accurately identified through multi-source data fusion, adaptive risk avoiding measures are automatically triggered, a power assisting strategy is dynamically adjusted in combination with cognitive loads, and operation flexibility and physical output are balanced.

The invention belongs to the technical field of image contrast, particularly relates to a water conservancy safety monitoring system based on dynamic vision, and aims to solve the problems that in an existing water conservancy safety monitoring process, the image quality and the recognition accuracy are remarkably reduced under complex and dynamically changing illumination and environment conditions, and the image quality is poor. In order to solve the problems of unstable monitoring performance and insufficient reliability caused by the lack of adaptive optimization and multi-source information deep fusion capability, the invention provides the following scheme: the system comprises a data acquisition module, the data acquisition module is connected with an illumination evaluation module, the illumination evaluation module is connected with a scene classification module, and the scene classification module is connected with a data processing module. According to the invention, through a dynamic vision technology, adaptive image enhancement and multi-source data fusion of a water conservancy project under complex illumination and environment conditions are realized, the image quality and defect identification accuracy of all-weather monitoring are significantly improved, and the environmental adaptability and reliability of the system are enhanced.

The invention provides a method for regulating and controlling a hydrodynamic balance valve with a real-time load feedback function, and the method comprises the steps: collecting the strain, water level, gas, vibration and motor current data of the balance valve in real time, constructing and utilizing a comprehensive load balance model, and calculating the effective safety torque of the balance valve in real time at an edge calculation layer; a mechanical wear degradation factor is calculated based on the action history and the current variance of the locking mechanism, and the instantaneous instability risk probability is calculated in combination with the effective safety torque and the current locking torque; according to the instantaneous instability risk probability, an output mode of a locking mechanism is dynamically adjusted to execute a graded locking action; and periodically calculating a full-life-cycle health degree index, and automatically generating a maintenance or replacement work order when the full-life-cycle health degree index is lower than a preset threshold value. According to the invention, the conversion from passive alarm to active defense is realized, and the safety and operation and maintenance efficiency of the urban balance valve in rainstorm, heavy load and corrosion environments are obviously improved.

The invention relates to the technical field of man-machine interaction, in particular to an intelligent screen turning-on and turning-off control method and system based on a microwave radar, which completely eradicates the risk of privacy disclosure and realizes high privacy protection through an identification mode of not collecting optical image information and only analyzing motion and vital signs through electromagnetic waves, and is not influenced by the environment, so that the intelligent screen turning-on and turning-off control method and system based on the microwave radar can be applied to intelligent screen turning-on and turning-off control. The system can stably work in severe environments such as all black and strong light, has super-strong environmental adaptability, and enables the judgment of screen opening to better conform to the real intention of a user by sensing the accurate postures of person existence, no person existence, approaching, departing, right facing or side facing, reduces false triggering to the greatest extent, improves the accuracy of system judgment, and improves the user experience. The instrument does not need to be kept in a bright state all the time in the operation process, when no person is in front of the instrument, the screen is automatically turned off at proper time, and when an operator comes to the front face of the instrument and prepares to operate the screen, screen display is automatically turned on, energy is saved, environment is protected, and the instrument is convenient to operate.

The invention relates to the technical field of photoelectric detection and radars, in particular to a calibration method, system and device for a radar and a laser anti-collision device and a medium, and aims to track and lock the same dynamic non-cooperative target through the laser anti-collision device and the phased array radar. Synchronously acquiring spherical coordinate observation data of the dynamic targets in the public view field under respective coordinate systems; and after the spherical coordinates are converted into rectangular coordinates, calculating a point set centroid, constructing a covariance matrix and performing singular value decomposition based on a rigid body transformation model, and directly solving a rotation matrix and a translation vector from a radar coordinate system to a laser anti-equipment-free coordinate system, thereby completing calibration. No external absolute coordinate reference is needed, only relative observation data of equipment is utilized, and the method has the advantages of being rapid in deployment, high in environmental adaptability, low in cost and high in calibration speed. The problems that in the prior art, a calibration system depends on RTK or a high-precision map, the environmental adaptability is poor, and the deployment requirement is high are solved.

The invention relates to the technical field of facility agriculture intelligent monitoring, and discloses a crop disease and insect pest internet-of-things image recognition method and system, and the method comprises the steps: carrying out the data collection and preprocessing, and building a crop growth file; performing illumination characteristic analysis and adaptive enhancement on the original image; performing quality evaluation on the image subjected to quality optimization, calculating a comprehensive quality score and performing screening; a crop growth stage is identified, and multi-scale features are extracted; constructing an agricultural pest knowledge base and estimating a pest prior probability, projecting the multi-scale feature vector to a discrimination subspace and performing weighted fusion according to the prior probability; carrying out double weighting on the environment adaptive fusion feature vector, and carrying out pest and disease identification through a hierarchical classification strategy; performing multi-source evidence fusion to obtain a final recognition result, and generating prevention and treatment suggestions in combination with an agricultural pest knowledge base; the accuracy and environmental adaptability of pest and disease identification are improved.

The invention discloses a pre-training visual language model-based cross-country scene unmanned vehicle auxiliary decision-making method, and belongs to the technical field of unmanned driving. Comprising the following steps: constructing a simulation data set for training a three-dimensional target detection network; carrying out cross-modal consistency fusion and cue word design; and generating and mapping driver element actions and decisions. According to the invention, by fusing a three-dimensional target detection network and a pre-trained visual language model, introducing a thinking chain type reasoning and selective spatial information injection mechanism, and combining a trigger type reasoning process and meta-action sequence generation, high-level understanding and auxiliary decision making of a cross-country scene are realized; therefore, the defects of a traditional geometric programming algorithm in an unstructured environment are overcome.

The invention provides an integrated temperature control fiber-optic gyroscope chip, method and system. The fiber-optic gyroscope chip integrated with temperature control comprises a signal transceiving unit, a gyroscope modulation unit, an optical signal processing unit, an optical fiber coil interface unit and an on-chip temperature-sensitive micro-ring resonant cavity, and the signal transceiving unit is used for forming an optical signal according to a light source; the on-chip temperature-sensitive micro-ring resonant cavity is used for forming a first transmission spectrum according to the optical signal; the gyro modulation unit is used for generating a modulation electric field in response to the modulation driving signal so as to perform phase modulation on the optical signal; the optical signal processing unit is used for performing polarization and beam splitting on the modulated optical signal to form a first path of optical signal and a second path of optical signal; and the optical fiber coil interface unit is used for transmitting the first path of optical signal and the second path of optical signal to a polarization maintaining optical fiber coil to form a gyroscope interference optical signal and outputting the gyroscope interference optical signal, so that a gyroscope detector obtains a compensated gyroscope output result according to the gyroscope interference optical signal.

This application discloses a corner module steering mechanism based on a rolling screw pair, comprising: a drive motor fixedly mounted on the vehicle body; a steering knuckle connected to the wheel hub, the steering knuckle having a steering arm and a lower connection point formed thereon, a steering tie rod connected to the steering arm, and the lower connection point being the lower point of the kingpin; and a rolling screw pair connected to the vehicle body, comprising a screw, a nut, and rolling elements, the nut being fitted onto the screw, the rolling elements being disposed between the nut and the screw, the nut being connected to the output end of the drive motor, and one end of the screw being connected to the steering tie rod, the screw being configured to move linearly only along the axial direction of the nut; when the wheel steers, the drive motor drives the nut to rotate and transmits the rotation through the rolling elements, causing the screw to move axially, which in turn drives the steering knuckle to rotate around the kingpin via the steering tie rod. This application eliminates the complex piping and pump structure of the hydraulic system, resulting in a simple and compact structure, and eliminating the possibility of hydraulic oil leakage.

The utility model relates to a kind of lithium iron phosphate starting power supply, and cell group includes multiple full tab low temperature lithium iron phosphate battery, and multiple full tab low temperature lithium iron phosphate battery is electrically connected battery management system after mutual series connection or parallel combination;PI heating film is attached to the outer surface of cell group, and PI heating film is closely attached with cell group by heat-conducting silica gel;PI heating film is electrically connected battery management system, for heating cell group under the control of battery management system;GPS positioning module is integrated in the outside of cell group, for obtaining the position information of lithium iron phosphate starting power supply and uploading to remote processing equipment;Cell group, battery management system, PI heating film and GPS positioning module are all set in insulating box body.The utility model reduces internal resistance by full tab low temperature battery structure, can still stable output current in low temperature environment, solves the problem of insufficient low temperature discharge capacity of traditional battery.

The invention relates to the field of data processing, in particular to a data transmission quality optimization method and system for an intelligent ammeter, and the method comprises the steps: obtaining a historical sensitivity sequence and a secret key updating record of each ammeter, and constructing a transmission sensitive vector; clustering the electricity meter groups and endowing sensitive grades to the electricity meter groups; dividing a transmission period into a plurality of time slots, establishing corresponding transmission scheduling groups, and distributing the ammeters to the groups according to the sensitivity levels to form an initial scheduling scheme; collecting network and computing resource states and computing resource pressure at the beginning of the current transmission period; and comparing the resource pressure with double thresholds, taking the sum of the transmission sensitivities of the electric meters in the group as a load according to a comparison result, dynamically adjusting the corresponding sequence of each transmission scheduling group and the transmission time slot according to the load, and issuing a transmission instruction. According to the invention, through a double-layer scheduling mechanism combining historical behavior grading and real-time resource perception, peak shifting transmission of the electricity meter group is realized, and the processing efficiency of the concentrator is remarkably improved.

An intelligent compensation method for coupling errors of a dynamic gravimeter comprises the following steps: selecting typical environment interference influencing the dynamic gravimeter in a complex measurement environment, and analyzing an influence mechanism of each typical environment interference on the measurement accuracy of the dynamic gravimeter; according to the influence mechanism under each typical environment interference, analyzing a coupling error influence mechanism between the typical environment interferences; based on the coupling error influence mechanism, constructing a coupling error comprehensive compensation model; adding the coupling effect loss into a data-driven loss function, and defining a model coefficient constrained by physical information; and performing model training by using the training data, and calculating the total loss of the verification set on the obtained model to obtain a final coupling error comprehensive compensation model. According to the invention, the coupling error of the dynamic gravimeter in a complex environment is compensated based on coupling error mechanism analysis and a physical constraint long-short-term memory model, and the measurement precision and environmental adaptability of the dynamic gravimeter under complex multi-factor interference conditions are improved.

This invention relates to the field of image processing technology, specifically to an AI image processing method for electronic rearview mirrors. In this invention, an original rearview mirror image is acquired and decoupled analysis is performed based on a physical degradation model to generate a color attenuation component and a detail interference component. The color attenuation component is processed by a global color and illumination reconstruction network, and a scene semantic attention map is generated using an embedded scene semantic attention module to guide adaptive reconstruction, outputting a first optimized image. Simultaneously, the detail interference component and the scene semantic attention map are input into a local structure to guide a detail repair network, and differential adjustment is performed to output a second optimized image. Pixel-level fusion weights are generated using the scene semantic attention map as a guide, and the two optimized images are weighted and fused to output the final optimized image. This method achieves adaptive and differential intensity control of different semantic regions through the scene semantic attention map, solving the problem of inappropriate regional effects caused by uniform processing of the entire image.

A device for measuring in-situ drilling rock hardness based on a high-pressure water pressure head comprises a hydraulic power system, a data acquisition system, a test probe and a push rod, the front end of the push rod is connected with the rear end of the test probe; the hydraulic power system comprises a manual hydraulic plunger pump; the manual hydraulic plunger pump is connected with the test probe through a reversing three-way valve; the data acquisition system comprises a data recorder, a displacement sensor and a pressure sensor, the displacement sensor and the pressure sensor are arranged on the manual hydraulic plunger pump, and the displacement sensor and the pressure sensor are connected with the data recorder through a signal receiver. The device is simple in structure, convenient to operate and capable of measuring the rock strength of different drill holes, different depths and different point positions so as to obtain the distribution condition of the roadway rock strength, the measuring result is close to the on-site rock mass, a water medium is used for pressure transmission, the measuring process is simple, convenient, environment-friendly and safe, errors in the processes of sampling, processing and the like are avoided, and the working efficiency is improved. And the measurement cost is reduced.

The application discloses a quaternary solid waste-based soil stabilizer (GSCP) for a base layer, which is composed of slag (GGBFS), steel slag (SSA), calcium carbide slag (CS) and phosphogypsum (PG) and has a weight ratio of GGBFS:SSA:CS:PG=56:24:12:8. The stabilizer forms C-S-H colloid and ettringite (AFt) through alkaline activation and sulfate activation, does not need to add cement or chemical activator, is used for stabilizing silty clay and steel slag mixed soil, and significantly improves the unconfined compressive strength, splitting tensile strength, water stability and freeze-thaw resistance. Compared with a traditional cement-based stabilizer, the application reduces carbon emission by 82% and cost by 31.25%, provides a low-carbon and economical solution for road engineering, and is suitable for the base layer and the subbase layer of a secondary road or above.

This invention discloses a method for measuring building tilt based on total station DR mode, comprising the following steps: 1. Establishing a distance measurement error compensation model using distance measurement experiments of characteristic points on the building; 2. Establishing a high-precision three-dimensional control network based on the site conditions of the building; 3. Selecting characteristic points for building tilt measurement and estimating the height of these characteristic points above the ground; 4. Estimating the station location based on the height of these characteristic points above the ground, and precisely adjusting the station location using observations from the total station DR mode; 5. Analyzing and compensating for the distance observations based on the DR mode distance measurement error compensation model; 6. Calculating the coordinates of the characteristic points for building tilt measurement and obtaining the building tilt amount. This invention, based on total station DR mode distance measurement error correction and the establishment of a high-precision three-dimensional control network, offers high accuracy and reliability, allowing tilt measurement work to be carried out without contact with the building, making it suitable for use in sudden, extremely dangerous site environments.

The application provides a kind of biological organic fertilizer efficient aerobic fermentation device, it relates to organic fertilizer fermentation technical field, including: base;The base is fixed with support, the upper portion of support is hinged with baffle, and support is installed with screw rod lifting seat A and screw rod lifting seat B by bolt, and the screw rod in screw rod lifting seat A and screw rod lifting seat B is connected with the lower end of baffle by pin shaft, and the input shaft of screw rod lifting seat A is connected with the input shaft of screw rod lifting seat B with connecting rod;The application integrates stirring, oxygen supply, fungicide spraying, material conveying, waste gas treatment and other multiple functions, forms complete fermentation process system, through the collaborative work of each hydraulic rod, motor and transmission mechanism, can be flexibly adjusted according to different material characteristics and fermentation process parameters, is suitable for efficient fermentation production of various biological organic fertilizer, has strong environmental adaptability and process expandability, helps to improve the automation level and product quality stability of organic fertilizer production.

The utility model provides a zero live wire power isolation circuit and double manganese copper measurement equipment relates to power isolation field. This zero live wire power isolation circuit includes current doubling circuit, first rectifier circuit and second rectifier circuit, and current doubling circuit first input end connects GND, second input end connects UN, first output end connects the input end of first rectifier circuit, second output end connects the input end of second rectifier circuit, and current doubling circuit is used for isolating first output end and second output end, the output end of first rectifier circuit connects VBB, the output end of second rectifier circuit connects MHVDD, and first rectifier circuit and second rectifier circuit are used for voltage reduction. The utility model provides zero live wire power isolation circuit design is compact, and simultaneously uses conventional electrical component, and production cost is low.

The invention provides a communication connection adjustment method and device, electronic equipment and a storage medium, and the method comprises the steps that first communication equipment determines a received signal strength indication of a communication signal received from second communication equipment, and determines a data packet error rate of the communication signal received from the second communication equipment; determining a target communication parameter according to the received signal strength indication and the data packet error rate; and adjusting the communication connection between the first communication device and the second communication device according to the target communication parameter. According to the embodiment of the invention, the PER is used as a core link quality evaluation index, a cooperative discrimination mechanism is formed with the RSSI, two typical link states of high signal strength but obvious interference and low signal strength but stable transmission are effectively distinguished, the problem of misjudgment caused by only depending on RSSI evaluation in the prior art is solved, and the accuracy of rate switching decision and the environmental adaptability are improved.

The present application relates to the technical field of lighting control, in particular to a landscape lighting dynamic control method based on environment perception data, the present application collects the reflected light radiation of the lighting object at the preset observation position, and compares the reflected light radiation with the reference radiation to obtain the reflected light radiation deviation rate; the surface optical state of the lighting object is identified according to the time series change trend of the deviation rate, and the intermediate state hosting mode is entered during the state transition; after completing the surface optical state switching, the corresponding projection adjustment parameter is obtained by searching the state-projection geometric relationship database; at the same time, hierarchical power compensation control is performed based on the brightness contribution proportion of the near, middle and far layers to generate device control instructions. The method can improve the adaptability of landscape lighting to environmental changes, enhance the visual level coordination and lighting stability.

The application provides a multi-intention interactive game decision method and system for automatic driving path planning, which fuses current environment information and current state information by acquiring the current state information and the current environment information, extracts state features and intention features of a moving target from current scene features, fuses the intention features of the state features of the moving target, constructs a game relationship graph, calculates attention weights between an automatic driving vehicle and the moving target, weights and aggregates a value vector by a prediction probability and the attention weights of different preset intention features executed by the automatic driving vehicle, performs feature splicing, nonlinear conversion and decoding on the aggregated features, evaluates each game candidate trajectory, and selects a game candidate trajectory with the maximum game value score as the automatic driving path; the application reduces uncertainty in the interactive process, avoids the risk of sudden braking or collision caused by misjudgment, and has stronger environmental adaptability and generalization ability.

The invention discloses a coherent optical frequency signal regeneration amplification system based on optical fiber transmission. The coherent optical frequency signal regeneration amplification system comprises a local narrow linewidth laser which outputs narrow linewidth laser; the first optical fiber coupler couples the narrow linewidth laser to the first acoustic optical modulator and the second acoustic optical modulator respectively; the output of the first acousto-optic modulator and superior transmission light are jointly coupled into a photoelectric detector by a second optical fiber coupler to generate a beat frequency signal; the signal processing module samples the beat frequency signal after conditioning the beat frequency signal, performs phase discrimination on the sampled signal and the digital reference signal to generate an error signal, and generates a first feedback signal and a second feedback signal according to the error signal to be respectively used by the local narrow linewidth laser and the first acousto-optic modulator; performing real-time cycle slip detection on the error signal and repairing a phase abnormal point to generate a third feedback signal to be used by a second acousto-optic modulator; and the second acousto-optic modulator outputs amplified regenerated laser. According to the invention, high-precision optical frequency signal transmission can be realized in a complex and changeable optical fiber environment with large noise.