689results about How to "Improve match" patented technology

The invention relates to a zirconia-based all-ceramic false tooth and a preparation method thereof. A core layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 90 to 94 parts of ZrO2, 5 to 9 parts of Y2O3, 0.1 to 0.5 part of Al2O3, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2, and a shell layer of the zirconia-based all-ceramic false tooth is prepared from the following components in parts by mass: 24.5 to 49.5 parts of CaCO3, 45 to 50 parts of SiO2, 0 to 25 parts of MgO, 0.01 to 0.5 part of Fe2O3, 0.01 to 0.5 part of Er2O3 and 0 to 0.2 part of MnO2. The preparation process comprises the following steps: performing dry pressing and isostatic pressing on raw materials of the core layer, presintering, and carving to obtain a zirconia-based false tooth biscuit; meanwhile, calcining raw materials of a shell layer, then adding deionized water, a dispersing agent and an adhesive, and carrying out ball milling and mixing to obtain calcium-magnesium-silicon-based ceramic slurry; and coating the calcium-magnesium-silicon-based ceramic slurry on the surface of the zirconium oxide-based false tooth biscuit, and sintering to obtain the zirconium oxide-based all-ceramic false tooth provided by the invention. The zirconia-based all-ceramic false tooth has good jade texture and is closer to the natural color of natural teeth.

The invention provides an antenna radio frequency performance test system and method, and relates to the technical field of antenna testing, the system adopts an intelligent signal source module, uses a quantum random number generator to generate a test signal of an ultra-wide frequency spectrum, and an adaptive matching network module can automatically adjust impedance according to impedance characteristics of an antenna to be tested. The space electromagnetic environment reconstruction module accurately simulates various electromagnetic environments through an electromagnetic radiation source and a wave-absorbing material, the multi-dimensional signal acquisition module simultaneously acquires electric field, magnetic field, phase and frequency spectrum information, and the intelligent analysis and diagnosis module analyzes signal data by using an artificial intelligence algorithm and performs fault diagnosis based on a machine learning model. In general, the system and the method improve the comprehensiveness, the accuracy and the intelligentization of the antenna test, and provide a new test solution for the field of wireless communication.

The invention discloses a small-size rotor test bed, a parameter matching method and a control angle resolving method, belongs to the technical field of aviation aerodynamic wind tunnel tests, and aims to solve the problems of an existing small-size rotor test bed. The test bench comprises a main shaft tilting system, the main shaft tilting system comprises a base, a tilting electric cylinder, two rotating shaft seats, a tilting table and a tilt angle sensor, the two rotating shaft seats are arranged on the left side and the right side of the base respectively, shaft heads are arranged on the left side and the right side of the tilting table respectively, and the two coaxial shaft heads are in corresponding rotating fit with the two rotating shaft seats respectively. A rear cylinder cover of the tilting electric cylinder is hinged to the front side of the base, a piston rod of the tilting electric cylinder is arranged upwards and hinged to the front side of the tilting table, and a tilt angle sensor is arranged on the tilting table. The test rotor wing is connected with the power transmission system, the power transmission system is connected with the tilting table, and technical support can be provided for measurement of rotor wing performance, blade surface pressure and blade bending moment load of the small unmanned aerial vehicle.

The invention discloses a light-emitting diode epitaxial wafer, a preparation method thereof and a light-emitting diode, and relates to the technical field of semiconductors. The light-emitting diode epitaxial wafer comprises a substrate, a buffer layer, an N-type semiconductor layer, a low-temperature stress release layer, a multi-quantum well light-emitting layer, an electron blocking layer and a P-type semiconductor layer. The multi-quantum well light-emitting layer comprises a first sub-layer, a second sub-layer, a third sub-layer and a fourth sub-layer which are stacked in sequence, and each of the first sub-layer, the second sub-layer, the third sub-layer and the fourth sub-layer comprises an InGaN quantum well layer and a GaN quantum barrier layer which are periodically and alternately stacked; an electron injection layer is inserted into at least one of the GaN quantum barrier layer of the first sub-layer, the GaN quantum barrier layer of the second sub-layer and the GaN quantum barrier layer of the third sub-layer; and a hole injection layer is inserted into the GaN quantum barrier layer of the fourth sub-layer. By implementing the invention, the electron hole matching degree of the multi-quantum well light-emitting layer can be improved, so that the luminous efficiency of the light-emitting diode is improved.

The invention relates to the technical field of server heat dissipation, in particular to a cloud-based server heat dissipation method and system, and the method comprises the following steps: monitoring the key operation parameters of a server in real time through a cloud platform, updating the state of a heat dissipation unit according to the heat dissipation demands monitored in real time, optimizing the heat dissipation efficiency, and obtaining the optimal configuration of the heat dissipation parameters. Through real-time monitoring and data-driven heat dissipation control, heat dissipation efficiency and energy consumption management are remarkably optimized, dynamic heat dissipation unit state updating and optimization are introduced, so that heat dissipation configuration can respond to real-time load and temperature changes of the server in real time, and by continuously adjusting feedback control logic including the feedback period and strength, the heat dissipation efficiency of the server is improved. The influence of the state of the heat dissipation unit can be simulated and predicted, the optimal configuration of the heat dissipation parameters is realized, the energy utilization of the server is optimized, the optimal matching between the heat dissipation control and the server load is ensured, the energy consumption is reduced, and meanwhile, the heat dissipation control efficiency is improved.

The invention relates to a fault processing method and device based on log analysis, equipment, a medium and a product. The method comprises the following steps: classifying and preprocessing logs and monitoring indexes to obtain different types of structured data; performing feature extraction and clustering on different types of structured data to obtain cue words describing log contents; according to the prompt word, the log content is marked and analyzed through a large model, and a log tag and an analysis result are obtained; constructing an operation and maintenance knowledge base based on the log tag and the analysis result; constructing a fault countermeasure knowledge base, and constructing a processing scheme agent based on the operation and maintenance knowledge base and the fault countermeasure knowledge base; the processing scheme intelligent agent automatically matches the fault countermeasures according to the log content, and triggers the execution of the corresponding fault countermeasures. Therefore, the logs can be automatically screened and labeled, the labor cost is reduced, the log content and the fault countermeasures are automatically matched through the processing scheme intelligent agent associated with the knowledge base, and the fault processing efficiency and accuracy are improved.

The invention discloses a data processing method and device based on a visual database and electronic equipment, and relates to the field of data processing. The method comprises the following steps: acquiring a data processing request of a user; analyzing the data processing request to obtain a corresponding key field and a logic conjunction; according to the key field, performing semantic matching in a preset data model library to obtain a corresponding target data table and a target field; synthesizing the logic conjunction, the target data table and the target field to generate a corresponding database processing statement; executing the database processing statement, and obtaining a result data set generated after the database processing statement is executed; and transmitting the result data set to a visual database terminal, and displaying the result data set on the visual database terminal according to a preset visual template. By implementing the technical scheme provided by the invention, the data query efficiency is improved.

The invention discloses a directional diagram reconfigurable antenna capable of switching feed through an MEMS switch, and belongs to the field of radio frequency front-end devices. The directional diagram reconfigurable antenna is composed of a micro-strip radiation unit, a guide parasitic unit, a composite beam ohmic contact type MEMS switch, a one-to-four feed network, a direct current bias line, a test patch bonding pad, a coplanar waveguide, a gradual change micro-strip line, a dielectric substrate and a metal ground backboard. The two-stage MEMS switches are erected on the one-to-four feed network, when the two-stage switches on a certain feeder line are turned on, radio frequency current can flow to the corresponding basic radiation unit through the feeder line to generate an inclined beam facing the quadrant, and the two basic radiation units on the front side can be enabled by simultaneously turning on the four switches on the front side to generate an inclined beam facing the quadrant. And generating an inclined beam in the front side positive direction. The antenna adopts a single-layer board design, the dielectric substrate does not need to be punched, the structure is simple, manufacturing is convenient, the adopted MEMS switch is small in loss and high in isolation degree, and rapid printing and manufacturing can be achieved through the surface etching process.

The invention provides an efficient article sorting method and system of an intelligent warehousing system, and relates to the technical field of intelligent warehousing systems.The method comprises the steps that warehousing real-time environment data and a target image set for target objects to be sorted are obtained; inputting the target image set into a preset object classification model to determine a target classification corresponding to the target object; determining at least one candidate free goods allocation matched with the target classification, and determining a target transportation path of the target object according to each candidate free goods allocation, the storage real-time environment data and the target classification; determining a target clamping strategy matched with the target classification; and the target path and the target clamping strategy are sent to the AGV and the mechanical arm correspondingly, so that the AGV and the mechanical arm cooperatively sort the target objects. Therefore, the intelligent level of the intelligent warehousing system is remarkably improved, and automatic sorting tasks for various objects can be completed more intelligently.

The invention provides a lightweight PCB defect detection method and device based on improved YOLOv8n and a storage medium, and the method comprises the steps: obtaining a PCB surface defect data set, carrying out the preprocessing of the data set, and converting the preprocessed data set into a YOLO format; the YOLOv8n model is improved, and the improved YOLOv8n model is obtained; a YOLO format data set is used for training the improved YOLOv8n model, and a trained YOLOv8n model is obtained; performing channel pruning on the trained YOLOv8n model to obtain a model after channel pruning; and performing defect detection and classification on a to-be-detected image by using the model after channel pruning. According to the invention, the PCB defect detection precision is improved, the model calculation amount is effectively reduced, and the reasoning speed is improved.

The invention provides a cross-modal external ear region segmentation and key point positioning method and system, and the method comprises the steps: obtaining multi-modal external ear data to be segmented and positioned, and inputting the data into a multi-modal external ear region segmentation and key point positioning multi-task end-to-end model, the model comprises a modal data feature extraction module, a modulo convergence module, a vision field communication module, a region segmentation head and a key point positioning head. Each modal data feature extraction module is used for extracting each modal feature; the modulo convergence module is used for enhancing voxel features and depth map features by using image features; the vision field communication module is used for performing three-mode aggregation on the three-dimensional point cloud features, the image enhanced voxel view features and the image enhanced depth image features to obtain aggregated vision field communication features; the region segmentation head is used for carrying out region segmentation on the aggregated vision field communication features; and the key point positioning head is used for carrying out key point positioning on voxel features in the aggregated vision field communication features. According to the invention, region segmentation and key point positioning can be carried out on the external ear.

The invention provides a light-emitting diode, a manufacturing method thereof and a light-emitting device. The light-emitting diode comprises a substrate, and a first semiconductor layer, an N-type semiconductor layer, a light-emitting layer and a P-type semiconductor layer which are sequentially positioned on the substrate, the first semiconductor layer comprises a first layer body and a lug boss; the convex part is arranged on the upper surface of the first layer body and comprises a plurality of bulges; the N-type semiconductor layer fills gaps among the plurality of protrusions. As the N-type semiconductor layer is low in contact resistance and good in conductivity, the projection part is arranged on the first semiconductor layer, the contact area between the first semiconductor layer and the N-type semiconductor layer is increased, the current expansion performance of the contact surface between the first semiconductor layer and the N-type semiconductor layer is improved, the burst caused by current gathering in the light-emitting diode is avoided, and the light-emitting efficiency is improved. The local brightness of the light-emitting diode is reduced; and the brightness is non-uniform.

The invention provides a target tree species remote sensing recognition method based on space-air-ground cooperation, which comprises the following steps: performing adjacent superpixel combination on segmented pattern spots after superpixel segmentation, and performing feature factor-based model optimization on a current recognition model of a target tree species based on combined pattern spot distribution and field distribution data, so as to obtain a target tree species remote sensing recognition model. Target tree species recognition is executed based on the updated new recognition model, and correct recognition pattern spots are obtained; executing edge matching detection on the correctly recognized pattern spots, adjusting the current merging scale based on an edge matching detection result to obtain an optimal recognition model, and further obtaining a recognition result of the target tree species based on the optimal recognition model; according to the method, the accuracy of the pattern spot boundary is effectively improved while the recognition precision of the target tree species is ensured, so that the matching degree of the boundary of the segmented pattern spot and the actual boundary of the target tree species is effectively improved.

The invention discloses a battery positive electrode material and a preparation method and application thereof, the battery positive electrode material comprises a bulk phase layer and an inert layer coating the bulk phase layer, the bulk phase layer comprises a transition metal layered oxide material, and the inert layer comprises a transition metal oxide generated by the transition metal layered oxide material through irreversible phase change; during preparation, the transition metal layered oxide material can be prepared into a positive electrode and then assembled into a battery, and then the battery is subjected to high-voltage activation, so that the battery positive electrode material with a specific coating structure can be generated; experiments show that the battery positive electrode material has high cycle stability, the preparation process is simple, the energy consumption is low, the battery positive electrode material can be directly fused into the formation process of the existing battery, and a feasible technical path is provided for large-scale production and commercial application of the battery.

The invention provides a battery cell tab cutting and inspecting machine, and relates to the technical field of battery cell tab cutting and inspecting machines, the battery cell tab cutting and inspecting machine comprises a transfer device, a turntable device, a cutting device, a shaping device, a CCD detection device, an OCV / IR detection device and a feeding device, the transfer device comprises a feeding linear module supporting seat, a first bottom plate, a discharging conveying supporting seat and a discharging conveying assembly, the two sides of the surface of the first bottom plate are fixedly connected with a discharging conveying supporting seat and a feeding linear module supporting seat correspondingly, a discharging conveying assembly is installed on the surface of the upper end of the discharging conveying supporting seat, and a discharging linear module is arranged on one side of the discharging conveying assembly. According to the invention, the problem that the battery cell is inconvenient to cut due to the fact that the position of the battery cell is easy to deviate in the cutting process of the battery cell tab and the welding process of the protection plate when the battery cell tab needs to be cut and the protection plate needs to be welded on the battery cell in the packaging process of the battery cell is solved.

The invention belongs to the technical field of information pushing, and discloses an information pushing method based on AIGC. The method comprises the following steps: constructing a knowledge graph generation model, a user portrait generation model, an information push content generation model and an information push strategy generation model; generating a knowledge graph by using a knowledge graph generation model according to the plurality of pieces of real-time knowledge data; according to the real-time user behavior data, user portrait generation and knowledge mapping are carried out by using a user portrait generation model; generating an information push strategy by using an information push strategy generation model according to the real-time user portrait after knowledge mapping; and according to the real-time information push strategy and the real-time user portrait after knowledge mapping, using an information push content generation model to generate information push content. According to the method and the device, the problems of insufficient individuation degree, single content generation, low pushing timeliness and poor user experience in the prior art are solved.

The invention provides a railway signal cable laying mode determination method and device, and relates to the technical field of cable laying, and the method comprises the steps: building a three-dimensional model corresponding to a target scene, and the three-dimensional model comprises a cabinet model and a cabling rack model; drawing a model line based on the cabinet model and the cabling rack model; determining a model line inflection point, key position nodes on each cabinet model and each cabling rack model, and a virtual line hole of each cabinet model; generating a cable laying path set based on the path point locations; aiming at the initial end cabinet model and the terminal cabinet model, screening a corresponding optimal cable laying path in a cable laying path set based on a shortest wiring path principle; wherein the optimal cable laying paths corresponding to each group of starting end cabinet model and terminal cabinet model are not interspersed and not overlapped; and according to the optimal cable laying path, carrying out simulation wiring between the starting end cabinet model and the terminal cabinet model, and generating and displaying a twin scene corresponding to the target scene.

The invention discloses a welding method for a tower drum and a foundation ring of a wind generating set. Comprising the following steps: a welding preparation stage: carefully selecting and treating materials, strictly debugging equipment and carefully preparing weldments; in the welding implementation stage, an argon-rich mixed gas shielded welding method is determined, welding process parameters are optimized, and the welding processes of a single-section longitudinal seam and a flange, two small-section assembly, large-section assembly length, an inner circular seam and an outer circular seam are accurately controlled; in the welding quality control stage, welding parameters are monitored and adjusted in real time, and appearance inspection after welding, RT ray inspection, mechanical property testing and metallographic testing are strictly conducted; and the production practice and optimization stage is applied to actual production, problems are tracked and solved, and the process is continuously optimized to improve the quality. The method effectively improves the welding quality and the production efficiency, enhances the structural stability, reduces the cost and promotes the development of the wind power industry.

The invention provides an intelligent operation system for a pre-post training examination of a power construction unit, and relates to the technical field of intelligent operation, and the system comprises an examination task analysis module which is used for analyzing examination task information to obtain a plurality of construction operation tasks; the operation task mapping module is used for mapping a plurality of construction operation tasks to a plurality of operation functional blocks; the time window configuration module is used for configuring a scheduling time window for the operation functional block according to the operation duration identifier; the scheduling and sequencing module is used for scheduling and sequencing the operation functional blocks according to the examination sequence identifiers to obtain a functional block scheduling sequence; and the examination behavior monitoring module is used for performing examination behavior monitoring on the examination user and outputting fusion cheating alarm information. The technical problems that traditional examination monitoring mostly depends on manual inspection or fixed camera monitoring, the behaviors of examinees cannot be comprehensively covered, the abnormal behavior detection accuracy is low, and the accuracy and fairness of examination monitoring are insufficient are solved.

The visual Eustachian tube examination and treatment device with the suction function comprises an Eustachian tube endoscope, a sheath tube indexing and transposition locking assembly and a balloon assembly, wherein the balloon assembly is arranged between the sheath tube indexing and transposition locking assembly and the Eustachian tube endoscope. The sealing joint assembly of the balloon assembly is installed in the sheath tube indexing transposition locking assembly, the assembly is located outside the human body in the treatment process, the size of the sealing joint assembly can be properly enlarged according to the technological conditions, and the manufacturing difficulty of the balloon assembly is reduced; by changing the length of the sealing joint, the combination of the balloons with different lengths and the same endoscope is realized, and the endoscope is used for treating different patients; according to different relative positions of the treatment ear and the doctor caused by the lying position of the patient, the angle of the sheathing canal and the endoscope is adjusted; the balloon hollow tube is located in the sheath tube and forms a suction channel with the sheath tube, the end of the sheath tube is a suction inlet, and a suction tube externally connected with a negative pressure suction device is arranged on a sealing connector assembly in the balloon assembly, so that the nasal cavity aspirator has the suction function of cleaning hydrops in the nasal cavity.

The invention belongs to the field of organic electroluminescent materials, and discloses a blue light host material, a preparation method and an organic electroluminescent device. The structure of the blue light host material is as shown in a chemical formula I: # imgabs0 #. After the blue light host material provided by the invention is applied to the organic electroluminescent device, the driving voltage of the photoelectric device can be reduced, the luminous efficiency of the photoelectric device can be improved, and the service life of the photoelectric device can be prolonged.

The invention belongs to the technical field of server cluster load balancing, and discloses a server cluster load balancing method based on edge computing, which comprises the following steps: acquiring task data, transmission data between nodes and load data of server nodes; constructing a load topological graph based on the load data and the transmission data, and performing multi-dimensional aggregation on the load data based on the load topological graph to obtain node state description; performing priority evaluation on the task data by adopting an analysis algorithm to obtain a task score; performing task optimal matching on node state description based on task scores to obtain an optimal allocation scheme, predicting the optimal allocation scheme based on the constructed load prediction model to obtain overload allocation, and performing local task migration on the overload allocation to obtain a local optimization scheme; and the overall processing capability of the server cluster is greatly improved.

The invention relates to the technical field of image analysis, in particular to a defect detection method, system and device for a power transmission line and a storage medium. A defect detection neural network composed of a multi-level image feature extraction module, a multi-level image feature fusion analysis module, a first image semantic feature enhancement module, a second image semantic feature enhancement module, an image semantic feature fusion analysis module and an image segmentation module is constructed, so that the calculation burden can be remarkably reduced; the method is suitable for real-time application of the unmanned aerial vehicle, most importantly, the small target can be separated from the background, and the detection precision of the small target in a complex background and a shielding scene is improved; meanwhile, in the process of training the defect detection neural network, the matching degree of a prediction frame and a real frame is improved by controlling the sum of intersection-to-union ratio loss of image bounding boxes, coordinate loss of the bounding boxes and shape loss of the bounding boxes to be smaller than a loss threshold value, and therefore the accuracy of small target detection under the condition that the background is complex or the target shape is irregular is guaranteed.

The invention discloses a six-shaft simple electric control speed change clutch sheet type electric driving system which comprises a power input mechanism, a speed change assembly and a two-shaft power output mechanism, and a power input shaft, a speed reduction shaft assembly, a reverse gear shaft mechanism and the two-shaft power output mechanism of the speed change assembly are arranged on the periphery of a main shaft in the circumferential direction. And the structure is simple and reliable, the expansibility is excellent, and various functional modules such as human-controlled reversing, inertial reversing and active upshift and downshift according to real-time power can be flexibly expanded according to actual requirements. The motor can always and efficiently keep working in the current high-efficiency area according to the change of the driving intention, a multi-parameter control strategy with the consciousness and intention of people as priority is achieved, and harmony and unification of people, vehicles, roads and running resistance / running loads are achieved. The important scientific and engineering technology common key problem of traction / driving force-running resistance / load efficient and accurate balance control is solved.

The invention discloses a mobile phone antenna rapid impedance matching optimization method based on a genetic algorithm, and the method comprises the following steps: S1, obtaining an initial parameter of a target antenna, constructing a multi-dimensional parameter space model, and mapping the multi-dimensional parameter space model into a parameter matrix; s2, defining a multi-band time sequence matching function, dynamically distributing matching weights according to time periods and use frequencies, and optimizing a band matching effect; s3, generating an initial solution set by using a quantum bit superposition state, expanding a solution space through quantum heuristic mutation operation, and setting a time sequence weight; s4, in the generation and evaluation solution set, finely adjusting the high-fitness solution by using a quantum bit phase adjustment mechanism to meet the key frequency band matching requirement; s5, adjusting matching parameters in real time based on a progressive environment feedback mechanism; s6, verifying parameter stability through a frequency band switching simulation test; and S7, applying the optimized parameters to the target antenna to realize adaptive impedance matching. According to the invention, the matching stability and dynamic adaptability of the antenna in multi-band switching are improved.

The invention discloses an image generation method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring multi-mode input information, wherein the multi-mode input information comprises input information of at least two modes; obtaining a description text of the multi-modal input information, wherein the description text is a text for describing the information content of the multi-modal input information; obtaining at least one cue word corresponding to the description text, wherein the cue word is used for indicating the image content of the image to be generated; obtaining an image corresponding to at least one cue word from an image text library, wherein the image corresponding to the cue word is used for graphically displaying text content represented by the cue word; and generating an output image corresponding to the multi-modal input information according to the at least one cue word and the image corresponding to the at least one cue word through a text graph model. According to the method and the device, the multi-modal input information is adopted, and the image corresponding to the cue word is adopted to control the generation of the output image, so that the image generation quality is improved.

The invention relates to the technical field of artificial intelligence, and provides an information retrieval method and device and a medium, which can segment to-be-processed data according to a configured segmentation strategy to obtain the to-be-processed data, and improve the organization and retrieval efficiency of the data. Performing vectorization processing on the segmented data to obtain vector data, and storing the vector data into an embedded database so as to facilitate subsequent similarity retrieval; the problem optimization is performed on the information retrieval request, so that the retrieval content can be better matched, and the retrieval accuracy is improved; a target cue word is generated by utilizing similar knowledge matched in an embedded database and a pre-configured cue word template, so that the retrieval efficiency and accuracy are further improved; according to the method, the retrieval model is retrieved according to the information retrieval request, the retrieval model is utilized to respond based on the target prompt word, and flexible retrieval of the model not only optimizes the retrieval effect, but also reduces the retrieval cost.

The utility model discloses a 3D printing lens and a projection device, comprising a front group lens group, a diaphragm and a rear group lens group which are sequentially arranged in a direction from an object plane to an image plane, and the focal length of the lens is 10mlt; flt; the focal length of the front lens group is-100mm, and the focal length of the rear lens group is-100mm; f front lt; the focal length of the rear lens group is-50mm, and the focal length of the rear lens group is 15mlt; f rear lt; 25 mm; the lens is highly matched with a 0.47-inch DMD chip, the offset rate of the lens can reach 0%, optical distortion is small, imaging is good, and the projection ratio of the lens is larger than 0.5 and smaller than 1.35; the device has a large defocus range and can adapt to an unstable lighting environment; the imaging picture brightness is uniform, the edge loss light energy is less, and the illumination light utilization rate is high.

The invention discloses an operating shadowless lamp automatic control system and method based on radar induction, and belongs to the technical field of automatic control systems.The operating shadowless lamp automatic control system collects operating data of doctors, analyzes complex operating conditions of the doctors according to the operating data of the doctors, collects operating information of the patients, and controls the operating shadowless lamp according to the operating information. The method comprises the following steps: analyzing patient operation complex conditions according to patient operation information, matching the initial brightness of an operation shadowless lamp according to the patient operation complex conditions and doctor operation complex conditions, collecting operating room illumination data, and analyzing illumination influence conditions according to the operating room illumination data; according to the method, the complexity of an operation is comprehensively analyzed according to the operation condition of a doctor and the operation condition of a patient, the initial brightness is matched, the optimal illumination condition is analyzed in combination with auxiliary illumination and the reflection influence of equipment, the operation shadowless lamp is automatically controlled and adjusted to the optimal brightness, and the brightness of the operation shadowless lamp is adjusted to the optimal brightness. The adjustment precision can be improved, so that the operation efficiency of doctors is improved.