23284 results about "Light source" patented technology

The invention provides a modified metal surface defect detection method and device and a medium, and the method comprises the steps: obtaining a multi-angle reflection image sequence of a modified metal surface under the irradiation of a multi-spectral light source, and generating a defect sensitive parameter set based on a preset modified metal material characteristic database and in combination with the spectral reflectivity distribution information of the multi-angle reflection image sequence; performing cooperative feature enhancement on the multi-angle reflection image sequence and the defect sensitive parameter set, and enhancing the feature contrast of a defect area and a normal area through weight distribution to obtain an enhanced defect feature set; joint anomaly detection of a spatial domain and a spectral domain is carried out on the enhanced defect feature set, a potential defect region of the modified metal surface is obtained through identification, and a defect region feature descriptor is generated; and performing defect morphological quantitative analysis according to the defect region feature descriptors, and determining the type, position and severity level of the modified metal surface defect. According to the invention, the comprehensiveness and reliability of a defect detection result can be improved.

A pest control system is disclosed comprising an optical, computational, and monitoring subsystem, optionally mounted on a mobile platform. The optical system may include a neutralizing laser or multi-wavelength light source, discovery and detail cameras (optionally stereo), a beam-steering mechanism, tunable focus, and optional thermal or depth sensors. The processor, such as a GPU or FPGA, identifies insect or biological targets, adjusts laser focus by depth, and controls beam activation. A monitoring system verifies safety by detecting humans or other non-target entities using environmental and thermal cameras; if detected, laser firing is inhibited. The mobile platform may use wheels, propellers, tracks, or cables, with GPS and data links for remote control. A visible light pre-flash may induce a blink reflex before firing. In some embodiments, a scouting drone transmits target coordinates to the neutralization unit, enabling coordinated, efficient, and safe laser-based pest control.

The invention provides a power adapter appearance quality detection method and system based on machine vision, and particularly relates to the technical field of power adapter appearance quality detection.The method comprises the steps that a main control module controls a light source module to output an illumination condition matched with a surface material of a power adapter, and an industrial camera is triggered to collect a surface image; preprocessing the image to generate preprocessed image data; inputting the preprocessed image data into a defect identification model to extract defect features and generate a defect classification result; if the classification result contains the reflective interference mark, obtaining material information through an infrared sensor, adjusting light source parameters, and re-collecting and processing the image; otherwise, generating a quality detection signal according to a classification result, and transmitting the quality detection signal to a classification execution mechanism to separate the defective power adapter. According to the method, self-adaptive high-precision detection on a low-cost embedded hardware platform is realized, and the efficiency and the adaptability are improved.

The invention relates to a multichannel intelligent control method and system for UV LED light, and the method comprises the following steps: carrying out the spectrum scanning of a light irradiation region of a UV LED light source array, and obtaining a spectrum intensity distribution diagram; based on the spectral intensity distribution diagram, light wavelength segmentation division is carried out on a UV LED light source array, and a plurality of wavelength subintervals are obtained; performing dynamic power adjustment on the UV LED light source array according to the plurality of wavelength subintervals to obtain an optimal power configuration scheme; according to the optimal power configuration scheme, performing synchronous control on each channel of the UV LED light source array to obtain a control signal sequence of multi-channel cooperative work; and on the basis of the control signal sequence, real-time output of the UV LED light source array is adjusted, stable multi-channel UV LED light output is obtained, and the technical problems that due to the fact that spectrum output of the UV LED light source array has non-uniformity and temperature sensitivity, light intensity distribution is not uniform and wavelength drifts possibly occur under different working conditions are solved.

The invention discloses a cockpit visual work efficiency evaluation method. The method comprises the following steps: establishing a cockpit geometric model according to a real cockpit; establishing a cockpit light environment model according to the cockpit light environment parameters; establishing a cockpit optical material model according to the optical material parameters of the inner and outer surfaces of the cockpit; fusing and establishing a cockpit optical model; a simulation detector is arranged on the cockpit optical model; according to the cockpit optical model and the analog detector, human eye vision optical simulation and dazzle source space tracking and positioning are carried out; according to a glare source space tracking and positioning result, a cockpit structure is optimized; and performing cockpit visual work efficiency evaluation according to a cockpit structure optimization result. According to the cockpit visual work efficiency evaluation method, reasonable evaluation of cockpit visual work efficiency readable visibility in various environments is achieved, simulation is conducted on the cockpit light environment through computer software, and adjustment can be conducted according to the working habit, the vision condition, the age and other factors of each pilot.

The invention discloses an image recognition system for industrial part defect detection, and particularly relates to the field of part defect detection, which comprises a multi-axis controllable light source array module, a high-speed polarization camera module, an edge computing node module, a double-branch semantic segmentation network module and a physical constraint post-processing module, according to the invention, through combination of time-sharing stroboscopic illumination and polarization image sequence acquisition, multi-dimensional perception of surface topography and material differences is realized; generating an elevation map and a normal map by using photometric stereo solution, constructing a differential rendering layer reverse matching CAD model, and extracting flash sensitive features; a double-branch U-Net network is adopted to fuse geometric and polarization characteristics, the characterization capability is enhanced through a trans-attention mechanism, and a pixel-level mask is output; and finally, mapping a two-dimensional result to a three-dimensional coordinate system by means of calibration parameters, carrying out geometric verification in combination with a tolerance zone and a height threshold value, and automatically generating a structured defect report containing position, size, grade and visual information.

The utility model relates to the field of microfluidic detection and fluorescence immunoassay, in particular to a portable biochemical blood coagulation and fluorescence immunoassay integrated analysis device, which comprises a shell, a power supply arranged in the shell, two support plates arranged in the shell, a fluorescent bracket fixedly connected to the upper ends of the support plates, a support arranged in the shell, a lamp source arranged at the upper end of the support, and a light source arranged at the lower end of the lamp source. A microfluidic detection module is mounted in the support, a fluorescence immunodetection module is mounted at the upper end of the fluorescence bracket, an optical module is arranged in the fluorescence immunodetection module, and a bar code scanner for confirming information of a detection chip or a reagent strip is arranged on one side of the optical module; compared with the traditional detection equipment with a single function, the double detection functions of biochemistry and fluorescence immunity are realized, the detection efficiency and comprehensiveness are greatly improved, meanwhile, the kit also supports the simultaneous detection of three reagent strips with different specifications, and the flexibility and convenience of the detection are further enhanced.

The invention discloses a general nerve drawing method and system based on an illumination function generation model, and belongs to the technical field of computer graphics, and the method comprises the steps: collecting light source information containing multi-view observation data, and collecting scene information; constructing an illumination function generation model comprising a light source coding module and a light source decoding module for converting the light source information into neural illumination representation and performing joint inference based on the neural illumination representation and scene features of the drawing points; and generating a final drawn image conforming to the real illumination distribution based on the inference result. According to the method, generalization neural drawing across light sources and scenes can be achieved, images with off-line rendering quality can be generated at the cost close to real-time calculation, the sense of reality, stability and rendering efficiency are considered, and the method has good expansibility and wide application value.

The invention relates to a marking and / or leveling device (1) comprising a light source (4) disposed on a pendulum (3) that can pivot relative to a housing (2). According to the invention, means are provided for accelerating (9) the pendulum (3) and / or a pendulum bearing (8) in a pulsing manner.

The disclosure provides smart swimming goggles, including a swimming goggle eyecup, a housing attached to the swimming goggle eyecup and internally provided with a closed cavity, and a near-eye display system arranged in the closed cavity of the housing; the near-eye display system includes a light source device, an optical assembly at least including a waveguide lens, a processor, and a wireless communication module; an area, right facing the waveguide lens, of the housing is a light-transmitting area; the optical assembly is configured to transmit projection light outputted by the light source device to a human eye through the waveguide lens; the processor is in communication connection with an external terminal device through the wireless communication module, so that information interaction between the processor and the external terminal device is facilitated; and the housing is further provided with a waterproof key-attached to the processor and configured to send a trigger instruction to the processor when pressed, so that the processor controls a working state of the light source device according to the trigger instruction. According to the smart swimming goggles in the disclosure, more swimming information data is able to be provided for a swimmer, the swimming interestingness is enhanced, and the personalized requirements of a user are met.

The invention discloses a method and a device for detecting internal defects of a special pipeline with a rifling. The device for detecting the internal defects of the special pipeline with the rifling comprises a detection equipment walking mechanism, the CCD industrial camera is used for collecting core images, and the CCD industrial camera is arranged at the foremost end of the special pipeline internal defect detection device with the rifling; the CCD industrial camera is connected to the holder, and the holder can rotate in all directions; the light supplementing light source can adjust the intensity of the light source and is used for adjusting the intensity of the light source and improving the imaging effect; the ultrasonic detection module comprises an ultrasonic probe and is used for identifying internal defects of the pipeline; the internal defect detection device for the special pipeline with the rifling further comprises a positioning device, a data processing terminal and a data transmission line. According to the invention, the problems of difficult carrier advancing stability, insufficient detection coverage and data fusion, and limited defect quantification and positioning precision in the prior art can be solved.

The invention discloses a light field surface defect identification system and method based on multi-angle scattering, and relates to the field of optical image analysis. The system comprises a multi-angle scattered light field acquisition module and a defect intelligent identification module. The acquisition module obtains a hemispherical space scattered light field image of an optical element to be detected through one-time exposure of a collimation laser light source, a hemispherical dome and the like. The recognition module integrates a data preprocessing unit and an SFD-YOLO network, and on the basis of YOLOv11, the network replaces CBS in a shallow layer with a PSiam attention module to strengthen local significant feature perception, and replaces C3K2 in a deep layer with an OfficitMambaCSP module to strengthen global semantic modeling. The method comprises the steps of image acquisition, data set generation preprocessing, network training and defect identification. The problems that in the prior art, single-view-angle information is limited, and scattering data is insufficient in utilization are solved, Top1ACC reaches 95.6%, the parameter quantity is only 1.25 M, and the method is suitable for high-precision real-time detection of optical element defects.

The invention belongs to the field of astronomical telescopes, and particularly relates to a large-aperture spliced telescope adjusting device and method, and the method comprises the steps: starting a light source module, providing a far-field illumination light beam for a spliced primary mirror, and carrying out the confocal adjustment of each sub-mirror through an adjusting mechanism according to the far-field illumination light beam; the light source switching module is used for providing a near-field illumination light beam for the spliced primary mirror, and the near-field illumination light beam is split into two separated sub light beams by the pyramid mirror after penetrating through a splicing seam of the spliced primary mirror; performing dispersion on all the sub-beams through a dispersion prism, and converging the dispersed sub-beams through an achromatic lens to form dispersion stripes; the phase difference of the dispersion fringes is extracted through the camera, and co-phase adjustment is carried out on the sub-mirrors through the adjusting mechanism according to the phase difference of the dispersion fringes. According to the invention, high-precision and high-flux spectral response calibration and co-phase detection of the large-aperture spliced telescope can be realized, so that reliable technical support is provided for construction and operation of a next-generation giant astronomical telescope.

The invention belongs to the technical field of sewage treatment, and particularly relates to an anaerobic ammonia oxidation-photoelectric denitrification deep nitrogen removal method. The method comprises the following steps: firstly, adopting a double-chamber reactor; introducing part of sewage into the cathode chamber, carrying out Anammox reaction under a dark state condition to remove ammonia nitrogen and part of nitrite nitrogen, and synchronously generating nitrate nitrogen; turning on a light source to irradiate the anode chamber, exciting photo-induced electrons by a photosensitizer, transmitting the photo-induced electrons to the cathode chamber through an external circuit, and driving the sulfur autotrophic denitrification sludge to reduce residual nitrite nitrogen and nitrate nitrogen generated by Anammox; the total nitrogen removal rate is close to 100%. According to the invention, photo-induced electrons are used as the only denitrification electron donor, so that the addition of a carbon source / sulfide is thoroughly avoided, and the risk of secondary pollution is eliminated. The method is suitable for green low-carbon deep treatment of sludge digestion liquid and pharmaceutical wastewater high-ammonia-nitrogen low-carbon-nitrogen-ratio sewage.

The invention relates to the technical field of machine vision and intelligent quality inspection, in particular to a bolt surface tiny defect feature extraction method based on an image enhancement technology, which comprises the following steps: acquiring an original two-dimensional image sequence of a bolt surface acquired at the same imaging view angle and a preset multi-light-source angle, and calculating a surface normal vector field and a surface albedo; obtaining basic decoupling feature data including two-dimensional coordinates, a gray value, a surface albedo and a normal vector; reconstructing three-dimensional point cloud data of the bolt surface by using the surface normal vector field and a preset integral boundary condition, and determining a target topological region set and a corresponding spatial enhancement weight; enhancing the basic decoupling feature data based on a spatial enhancement weight to generate a defect risk feature map; calculating a defect risk value based on the feature intensity value, the spatial distribution, the connected region area of the high-risk feature and the spatial aggregation degree, and respectively generating an alarm instruction, a recheck instruction or a qualification instruction; according to the method, the sensitivity to hidden cracks in a weak area is greatly improved.

The invention discloses an all-optical three-dimensional scanning confocal fluorescent microscopic imaging device and an implementation method thereof. According to the invention, through a deep learning driven adaptive regulation and control method, CNN is adopted to process spatial distribution data and dynamically regulate and control a phase hologram and the light intensity and phase compensation of a laser, so that the focal point of exciting light is subjected to aberration-free axial displacement, a bidirectional parallel optical scanning track of a two-dimensional scanning system is optimized, and all-optical three-dimensional scanning is realized; lSTM and TCN are combined to obtain a time sequence dependency relationship, a laser light source, an adjustable diaphragm, an electric focus-adjustable lens and a photoelectric detector are integrally controlled, efficient synchronization and automatic operation and high-speed axial focusing adjustment are realized, errors and time sequence mismatch are eliminated, optical characteristics of different samples and environmental interference are automatically adapted, and high-quality imaging is kept. The robustness and the applicable scene range of the system are improved; the method is used for model biological embryo real-time tracking, intracellular signal molecule dynamic visualization, cell membrane protein migration and aggregation observation and intracellular organelle interaction tracking.

The invention relates to the field of artificial intelligence and computer vision, discloses an AI vision-driven polyester fabric pilling detection method and system, and aims at solving the problems that traditional manual visual inspection is low in efficiency and high in subjectivity, and existing machine vision is insufficient in sensitivity to low-contrast tiny defects. The method comprises the steps that fabric images are collected through a high-resolution linear array camera and a multi-channel self-adaptive LED light source, after non-uniform correction and self-adaptive filtering, the fabric images are input into a three-level convolutional network to extract multi-scale texture features, and then unified representation is generated through cross-scale attention fusion; according to the technical scheme, high-precision recognition of pilling with the diameter smaller than 0.5 mm is achieved, the detection rate is increased by 42%, the false alarm rate is lower than 3%, full inspection of a 60-meter / minute production line is supported, structured quality data are output, and the intelligent and quantitative level of online quality inspection in the textile industry is remarkably improved.

The invention provides an apparent defect detection system and method based on CCD image recognition. A specular reflection interference area meeting a preset difference condition is recognized through a first surface reflection image and a second surface reflection image of a target patch element; extracting corresponding orthographic gray scale data from a third surface orthographic image obtained by adopting coaxial light source irradiation based on the specular reflection interference area; according to the brightness distribution gradient of the specular reflection interference area in the first surface reflection image and the second surface reflection image, constructing a texture restoration guide map, and using the texture restoration guide map to carry out texture restoration on the orthographic gray scale data to generate a texture restoration image of the specular reflection interference area; and generating a defect identification reference image for eliminating specular reflection interference based on the texture repair image, and outputting an appearance defect identification result of the target patch element by the defect identification reference image. According to the technical scheme provided by the invention, the defect detection of the patch element can be realized under the interference of mirror reflection.

The invention relates to the technical field of angle-resolved photoelectron spectroscopy experimental instruments, and discloses an angle-resolved multi-electron coincidence measurement system and method based on an event-type delay line detector, and the system comprises an angle-resolved energy analyzer; a detection surface of the event type delay line detector is divided into at least two independent areas, and the event type delay line detector is used for receiving photoelectrons in parallel and independently outputting event signals; the external trigger and synchronization module is used for generating a unified trigger period to establish a global time reference; the time digital reading module is used for receiving the event signal and generating a timestamp; and the data acquisition and processing module is used for carrying out association judgment and selection based on the timestamps in the same triggering period. The dead time is reduced through multi-region parallel reading, unified time base calibration is achieved through time base line calibration and delay compensation, multi-electron coincidence measurement can be achieved under the condition that the angular resolution capability is kept, and the method is suitable for pulse or continuous light sources.

The invention discloses a self-adaptive dimming control method and system for multi-light-source data acquisition, and relates to the technical field of intelligent control. The method comprises the following steps: capturing a real-time image of an operation area for multi-angle analysis, obtaining a multi-angle illumination image data set for illumination analysis, and identifying illumination defect information; mapping the shadow distribution data to an operation area for analysis and identification, generating a plurality of shadow sub-areas, performing multi-light-source optimization according to the glare intensity data and the plurality of shadow sub-areas, and generating multi-light-source initial combination parameters; and driving the multi-light-source combined shadowless lamp to perform illumination control according to the multi-light-source initial combination parameters, updating and adjusting the multi-light-source initial combination parameters according to a control result in combination with the real-time image of the surgical area, and generating a multi-light-source dynamic combination to perform real-time illumination control on the shadowless lamp. The technical problem that in the prior art, a shadowless lamp cannot be dynamically adjusted according to a real-time scene, and consequently the lighting effect is poor is solved, and the technical effect of improving the lighting effect is achieved.

The invention discloses a laser frequency stabilization system based on Faraday anomalous dispersion atomic filtering, which is used for carrying out frequency stabilization on phase modulation multi-sideband laser, and comprises a frequency doubling laser unit which is configured to comprise a fundamental frequency seed light source, an electro-optical modulator, a fundamental frequency amplifier and a frequency doubling crystal; the light splitting module unit is configured to split the frequency doubling light into a main output light path and a monitoring light path; the atomic optical rotation filter is located on the monitoring light path and is configured to maintain the purity of the frequency-stabilized laser spectrum through purification treatment under the control of the axial magnetic field and the temperature; the frequency stabilization unit is configured to be a frequency stabilization light path and a servo system, and the frequency stabilization light path is used for obtaining laser frequency information and generating an error signal; the servo system is used for controlling the frequency of the fundamental frequency seed light source according to the error signal feedback. According to the laser frequency stabilization system provided by the invention, the spectrum purification and frequency stabilization precision can be improved, so that high-frequency stability locking is realized.

The invention relates to a cloth flaw detection method, device and equipment and a storage medium, and the method comprises the following steps: carrying out the multi-angle light source irradiation of the surface of cloth, obtaining a texture image, and carrying out the grid segmentation of the texture image into detection units; and extracting a gray value sequence of each unit, calculating an edge difference by using a gradient operator, generating a texture edge change curve to identify an abnormal wave crest, and determining a defect candidate region. And carrying out local amplification imaging based on the candidate region coordinates, and extracting defect shape feature parameters. The defect types are determined according to the parameters, quality grade division is performed on the cloth according to the parameters, and a quality grade report is finally generated, so that the technical problems of low defect identification precision and easy missing detection of fine defects caused by uneven illumination and texture interference in the existing cloth defect detection method are solved.

The invention relates to the technical field of novel illumination, and discloses a wide-voltage light source intelligent control method integrated with a step-down regulation strategy, which comprises the following steps: establishing a mapping table of a voltage interval and a basic compensation slope; indexing a basic slope according to the real-time input voltage; extracting a load voltage direct current component representing the LED junction temperature to generate a thermal drift correction coefficient; dynamically reducing the target slope to match the natural attenuation characteristic of the inductive current; according to the invention, the junction temperature is reversely deduced through the voltage signal, a parameter self-calibration closed loop of a physical level is constructed, the phase margin of a control loop of a whole temperature range is locked under the condition of zero newly-added hardware cost, the problem of dynamic response hysteresis under a high-temperature working condition is solved, and the reliability of the system is improved. And the optical consistency of precise illumination is ensured.

The invention discloses a multi-mode nonlinear optical microscopic imaging device and system, and the device achieves the two-photon and three-photon excitation imaging of a sample through an integrated light source module, a dispersion compensation module, a scanning light path module, a fluorescence obtaining module, a synchronous control module and a signal processing module. Fluorescence intensity imaging and fluorescence lifetime imaging can be supported at the same time; wherein the scanning light path module is driven by the random mask to realize sparse scanning, so that scanning point locations are effectively reduced, and the exciting light dosage is reduced; the synchronous control module performs time window screening and processing on the fluorescence signal based on the pulse synchronous signal and the position code, so that the signal acquisition efficiency is improved; the signal processing module adopts an FPGA (Field Programmable Gate Array) to carry out real-time image reconstruction and life calculation, so that the imaging speed and quality are ensured; and the master control PC can also perform high-fidelity reconstruction on the sparse sampling image through a deep learning model, so that high-speed, low-light-dose and high-resolution nonlinear fluorescence intensity and life imaging is realized.

An LED lamp is provided, which includes a connector, a lamp holder, a battery, a support member, a light source, and a lampshade; the light source is sleeved on the support member; the battery is located within the support member; the support member is connected to the lamp holder; the lampshade is connected to the lamp holder; the connector is magnetically connected to the lamp holder. A detachable design of the connector and the lamp holder facilitates the use of the LED light and enables the LED light to be flexibly selected and used according to usage needs.

The invention discloses a multi-core optical fiber multichannel demodulation system for three-dimensional displacement measurement of a mechanical oscillator, which comprises a light source module, a multi-core optical fiber sensing probe, a photoelectric detection module and a signal processing module. A mapping model between multi-channel optical signals and displacement is established, decoupling and high-precision measurement of three-dimensional displacement are realized through a matrix demodulation algorithm, the system takes a multi-core optical fiber as an integrated probe structure, free space optical path alignment is not needed, an optical path is stable, and packaging is simple and convenient; compared with a traditional single-core optical fiber displacement sensing scheme, displacement components of the mechanical oscillator in the three orthogonal directions can be obtained at the same time, and the method has the advantages of being high in measurement precision, high in anti-interference capacity, good in real-time performance, compact in system structure and the like and can be widely applied to the fields of mechanical oscillator displacement measurement, structure health monitoring, precision manufacturing, micro-nano operation positioning and the like.

In some embodiments, a fiber optic cable may be monitored while reducing false positives from disturbances in trusted areas. In some embodiments, a system includes a light source, a first remote termination unit in a trusted area, and a second remote termination unit in another trusted area. The light source emits light through the fiber optic cable, which passes through the first remote termination unit, an untrusted area, and then the second remote termination unit. The remote termination units reflect portions of the light back towards the light source. The system uses a prediction model to detect disturbances in the untrusted area based on the reflected light data.

The invention relates to the technical field of laser, and provides a laser system with a controllable pulse state and a control method thereof. The control method of the laser system with the controllable pulse state comprises the steps that under the conditions that the cavity length of an FP cavity is in an initial fit state and the air pressure in the FP cavity is standard air pressure, a pump light source is controlled to adjust the pump power according to a first set; in response to the fact that the target pulse interval is smaller than the initial pulse interval, the pump light source is controlled to keep the target power unchanged, the air pressure of the FP cavity is adjusted to be within the preset range, and the cavity length of the FP cavity is adjusted through a second set; determining a target cavity length; controlling the laser to be output in a first pulse state; and controlling the laser to output in a second pulse state. According to the control method, the controllably generated abnormal wave form with the high peak power is introduced according to the preset frame structure to serve as a physical layer disturbance or random segment, and the reliability and safety of system signal transmission are improved under the condition that data segment transmission is not affected.

The invention discloses an on-chip optical interconnection and switching chip and an application system thereof. Wherein the on-chip optical interconnection and exchange chip is integrated by a power divider, a bidirectional optical transceiver unit and an optical switch unit; the application system of the on-chip optical interconnection and switching chip comprises a multi-wavelength light source used for generating multi-wavelength optical carrier signals, a transceiving unit control and clock module used for bidirectional transceiving unit feedback / amplifier control and clock synchronization, and an optical switching control module used for switching an optical switching unit switching link. The chips and the modules are used for realizing optical interconnection and optical switching of the special electrical computing chip ASIC. According to the invention, bidirectional optical interconnection and exchange of special computing electric chips such as a CPU, a GPU, a DPU and the like can be realized by utilizing an on-chip optical interconnection and exchange technology, the interconnection rate is high, the exchange switching time is short, computing power cluster networking oriented to artificial intelligence application can be supported, and the application prospect is good.

The invention discloses a panel lamp light source integration system based on a flexible circuit board, and relates to the technical field of panel lamp light source integration. Generating an initial design drawing of the flexible circuit board containing a plurality of layers of conductive circuits and a plurality of light source bonding pads; the channel configuration module configures a driving control channel for the bonding pad and establishes a mapping table with the lighting function area; the thermal load optimization module calculates power consumption and thermal load distribution according to the mapping table and the performance parameters and adjusts routing topology to generate a final design drawing; and the manufacturing and assembling module is used for manufacturing a circuit board according to the drawing and mounting a micro light source to finish assembling. Wiring is matched with the shape of a panel and the characteristics of a light source during planning, heat distribution optimization is achieved in the layout stage, the number of times of modification is reduced, and local overheating is restrained. According to the invention, high-fit compact integration of the flexible circuit board and the panel lamp is realized, and the assembly efficiency and the operation stability are improved.