86results about How to "Reduce professional requirements" patented technology

The invention relates to the technical field of non-destructive testing, and discloses a non-destructive testing method for enhancing defect detection efficiency through deep learning, which comprises the following steps: step 1, acquiring multi-modal data of a target material, including data acquired through X-ray imaging, ultrasonic detection and infrared thermal imaging; 2, signal denoising processing is carried out on the obtained multi-modal data, signal denoising is carried out through wavelet transformation, and the wavelet transformation comprises the steps that multi-scale decomposition is carried out on signals, and high-frequency noise is removed through a soft threshold method; and step 3, carrying out image enhancement processing on the de-noised multi-modal data. The internal structural features of the material are captured from multiple physical dimensions by fusing multi-modal data of X-ray imaging, ultrasonic detection and infrared thermal imaging. The multi-modal fusion can make up for the deficiency of a single detection technology, so that the defect identification in complex structures and materials is more comprehensive and accurate, thereby significantly improving the detection precision.

The invention relates to a poplar property high-throughput accurate quantitative identification method, system, equipment and medium, the innovation of the method lies in that spectral data analysis and automatic script processing are combined, efficient data acquisition, import, matching and storage are realized, abnormal point detection is carried out by introducing principal component analysis and anti-noise mahalanobis distance, a data set is optimized, and the identification accuracy of the poplar property is improved. Building and training a model to realize high-flux accurate prediction of the material property and the density; a sample control module, an acquisition test module, an automatic processing module, a data set determination module and a result output module are integrated on the system, so that full-process automatic and intelligent management is realized; the equipment comprises a database and a memory, and the method is cooperatively executed through the database and the memory to ensure efficient operation of the method; a computer readable medium stores executable instructions, which is convenient for wide deployment and application. The method is excellent in high-throughput analysis, cost saving, environmental protection and data accuracy, and development of the poplar property identification technology is effectively promoted.

The invention relates to an anti-cross-labeling intelligent atlas identification method and device, electronic equipment and a storage medium. The anti-cross-bidding intelligent atlas identification method comprises the following steps: collecting related data in a bidding and tendering process; the data is cleaned, integrated and formatted, so that subsequent graph construction and analysis are facilitated; a bidding data atlas is constructed based on the collected data, nodes represent data entities including bidders and bidding files, and sides represent the relationships including bidding relationships, association relationships and bidding file repetition similarity degrees among the entities; extracting features related to the trademark behavior from the atlas; training the extracted features by using a machine learning algorithm, and constructing a string mark behavior recognition model; evaluating the trained model, and performing parameter adjustment and optimization according to an evaluation result; and the trained model is used to carry out automatic detection of the string marking behavior. According to the anti-cross-labeling intelligent atlas identification method, cross-labeling behaviors can be automatically, efficiently and accurately identified.

The invention relates to the technical field of software security, in particular to a decentralized financial platform loan intelligent contract vulnerability detection method and system based on a graph neural network, and the method comprises the steps: collecting intelligent contract source code data, and carrying out the vulnerability marking of the intelligent contract source code data according to whether there is a vulnerability in the data; compiling intelligent contract source code data into an abstract syntax tree, and constructing a contract code heterogeneous graph; constructing a graph neural network model, and performing vulnerability prediction training on the graph neural network model by using the contract code heterogeneous graph to obtain an intelligent contract vulnerability detection model, the graph neural network model captures structural features of a contract code heterogeneous graph layer by layer by using a hierarchical attention enhancement mechanism and predicts and identifies vulnerabilities in contract codes based on the structural features; and converting the to-be-detected smart contract source code into a target contract code heterogeneous graph to perform vulnerability prediction on the target contract code heterogeneous graph. According to the method, the semantics and data flow characteristics of the contract can be accurately captured, and efficient and accurate detection of the intelligent contract vulnerability is realized.

The invention provides a static indoor scene three-dimensional reconstruction method and system based on a neural radiation field. The method comprises the following steps: acquiring data of an indoor scene to be reconstructed; dividing the indoor scene space to be reconstructed into more than two parameterized voxel grids based on a neural radiation field algorithm, describing scene information corresponding to the voxel grids through parameters, and reconstructing a neural radiation field implicit model of the scene; based on a particle swarm optimization algorithm, performing iterative evaluation on the performance of the parameter combination of each current voxel grid of the neural radiation field implicit model until the parameter combination of each voxel grid corresponding to the global optimal position is obtained; and obtaining a trained neural radiation field implicit model. According to the invention, a non-professional user can quickly and accurately complete three-dimensional reconstruction of a static indoor scene; meanwhile, the efficiency and the quality of three-dimensional reconstruction are improved; the method is suitable for application scenes requiring instant data and quick response.

The invention discloses a mouse visual detection method and system based on visual motion response and gait analysis, and relates to the technical field of animal visual detection. The mouse visual detection method based on visual motion reaction and gait analysis comprises the following steps: arranging eight groups of spatial frequency change or contrast change rotating gratings in a visual motion detection box body, combining every two of the eight groups of spatial frequency or contrast gradients into one stimulation condition, forming four stimulation conditions, and performing visual motion detection on the four stimulation conditions; sequentially stimulating the to-be-tested mouse under four stimulation conditions; the head follow-up of the mouse is monitored in real time through the visual motion reaction system, and the real-time rotation speed of the head is obtained; the moving information of each foot of the mouse subjected to visual motion reaction detection is acquired in the active gait detection box with the red and green mixed light source, and the motion coordination is evaluated. The mouse vision-perception-movement loop can be effectively evaluated by combining the visual movement response and the gait movement.

The invention relates to the technical field of intelligent operation and maintenance, and discloses an intelligent fault analysis and diagnosis method and system for urban rail power supply equipment, and the method comprises the steps: obtaining the operation data and fault data of the urban rail power supply equipment; performing fault early warning analysis according to the operation data to obtain a fault early warning result; fault recording diagnosis is carried out according to the fault data, and a preliminary fault diagnosis result is obtained; and performing comprehensive diagnosis according to the fault early warning result and the preliminary fault diagnosis result to obtain a final fault diagnosis result. According to the method, early warning can be carried out by finding the early fault hidden danger of the power supply equipment, comprehensive diagnosis is carried out according to the fault early warning result and the preliminary fault diagnosis result, the fault reason can be quickly positioned, the professional ability requirement of operation personnel is greatly reduced, the fault handling efficiency is improved, and the reduction of the operation manpower cost and the time cost is realized.

The invention provides a personnel cognitive competence assessment and recovery method based on big data, and the assessment method comprises the steps: collecting basic data of a to-be-assessed target personnel, and sequentially carrying out a plurality of assessment tests under each cognitive competence assessment classification on the target personnel based on a plurality of preset cognitive competence assessment classifications; obtaining test data, a single capability evaluation value and completion time of each evaluation test, inputting the basic data and each test data into a prediction model, and calculating a big data analysis index of each evaluation test based on a big data analysis capability evaluation value output by the prediction model; and calculating a final cognitive competence assessment result of the target person according to the single competence assessment value of each assessment test, the completion time and the big data index analysis index. According to the method, a computer technology and a big data analysis technology are utilized to carry out multi-dimensional comprehensive assessment on the cognitive competence of the operator, and the accuracy, intelligence and comprehensiveness of assessment are improved.

The invention discloses a PLC register point location information determination method, apparatus and device, a medium and a product. The method comprises the steps of obtaining display data of to-be-analyzed parameters and source data in a PLC; wherein the source data comprises a data set, and the data set comprises a register point location address and a stored data value; the to-be-analyzed parameters comprise all or part of parameters displayed by the HMI; determining a target data group matched with the display data from the source data; according to the target data set, point location information of the to-be-analyzed parameter is generated, and the point location information represents the corresponding relation between the to-be-analyzed parameter and the register point location address of the to-be-analyzed parameter in the PLC. According to the application, accurate positioning of the PLC register point location address can be realized without using a PLC source program or a touch screen program or depending on detailed point location information provided by a manufacturer, so that the PLC data can be directly applied to various control scenes and monitoring scenes, and a basis is provided for improving the production efficiency and reducing the production cost.

The invention discloses an intelligent test question generation method based on a large language model, and the method comprises the steps: obtaining a training courseware, and configuring question types needed by an examination and the number of test questions corresponding to each question type; generating a corresponding test question prompt word project according to a question type required by an examination, extracting courseware text information according to the obtained training courseware, configuring the courseware text information and the number of test questions corresponding to the question type as parameters to the corresponding test question prompt word project, generating a test question prompt word project to be debugged, and debugging the test question prompt word project to be debugged. Debugging the test question cue word project to be debugged; inputting the debugged test question prompt word engineering into the large language model in sequence, and generating test questions, answers and question analysis of the number of test questions corresponding to the question type required by the test; and storing the test questions, answers and question analysis of the test question quantity corresponding to the question type required by the test. The corresponding test paper can be quickly generated according to user requirements, the professional requirement for teaching and research personnel is reduced, the workload is further reduced, and the test question generation efficiency is improved.

The embodiment of the invention provides a resource allocation method and device, computer equipment and a storage medium, relates to the technical field of resource allocation, and is suitable for the field of financial science and technology. The method comprises the following steps: acquiring a user data set and current input resource data fed back by a target platform based on original resource allocation information, wherein the user data set comprises a first new user quantity in a first time period and a second new user quantity in a second time period; according to the first newly-added user number, the second newly-added user number and the current input resource data, building user newly-added evaluation parameters; performing user growth evaluation on the original resource allocation information according to the user newly-added evaluation parameters to obtain current user growth evaluation data; adjusting the original resource allocation information according to the current user growth evaluation data and the user newly-added evaluation parameters to obtain target resource allocation information; and performing resource allocation on the target platform according to the target resource allocation information. According to the embodiment of the invention, professional requirements and manpower in a resource allocation process can be reduced.

The utility model relates to the technical field of space information acquisition devices, and discloses a three-dimensional space information acquisition system for AR (Augmented Reality) scene building, which comprises scanning equipment, a data acquisition device, a data processing device, a data processing device and a data processing device, and is characterized in that the scanning equipment is used for scanning a real scene and acquiring scene information; the analysis equipment is used for analyzing the scanning information matched with the real scene to obtain complete space information, and the analysis equipment is connected with the scanning equipment and is used for receiving the scanning information; and the interaction device is used for completing information interaction between the person and the AR scene. According to the acquisition system, the scanning equipment is used for comprehensively scanning a real scene, and under the guidance of the mixed control system of the analysis equipment, the information in the whole real scene is completely scanned to obtain all information in the scene, so that accurate scene information is provided for subsequently developing an AR virtual scene, the construction of the AR scene is accelerated, and the development efficiency of the AR virtual scene is improved. And the constructed AR scene can be subjected to man-machine interaction action through the AR interaction equipment.

The invention relates to a remote-control automatic detection device and system for irregularity of a steel rail, and the device comprises a frame which is connected to the steel rail in a sliding manner; the driving unit drives the frame to slide on the steel rail in the length direction of the steel rail; the data collection unit is installed on the side, close to the steel rail, of the frame, and the data collection unit is used for collecting deformation data of the steel rail. Through the arrangement, the whole detection process is simplified, the accuracy, high efficiency and consistency of detection data are ensured, the professional requirement is low, the technical difficulty is small, the manufacturing and maintenance cost is low, and application and popularization are convenient.

The invention belongs to the technical field of vehicle motor controllers, and particularly relates to a calibration method of a vehicle motor controller ampere meter, which comprises the following steps: S1, carrying out Id-Iq current combination traversal scanning at a rotating speed lower than a reference rotating speed to obtain torques and voltage utilization rates corresponding to various current combinations at each rotating speed lower than the reference rotating speed; s2, dividing the current combinations with the same torque into one group and performing fitting to obtain an equal-torque curve; s3, traversing the equal-torque curve of each torque at each rotating speed according to a preset traversing process, and obtaining a current combination capable of enabling the actual output current Is to be minimum or the voltage utilization rate to be maximum on each equal-torque curve; and S4, summarizing the obtained current combination of the equal torque curve of each torque at each rotating speed, and taking the current combination as a final obtained ampere meter. The method can improve the automation degree and accuracy of calibration of the ampere meter of the vehicle-mounted motor controller, reduces errors caused by manual operation, and ensures that the performance of the ampere meter is recovered to the optimal state.

The application discloses a kind of satellite radiation product-based remote sensing image geometric calibration method, electronic equipment and medium.The method can include: determining reference image, inputting image to be calibrated;For the same name point matching of image to be calibrated and reference image, obtain the same name point coordinates;The third polynomial distortion model about CCD probe element number is constructed;Based on the same name point coordinates, curve fitting is carried out on the distortion model, and the distortion coefficient is obtained;The resampling of image to be calibrated is carried out by distortion coefficient, and the correction of internal distortion of image is realized.The application can quickly and accurately carry out geometric calibration processing to satellite image, greatly improve the efficiency and quality of image processing.

The embodiment of the invention provides an insurance proposal generation method and device, computer equipment and a storage medium, relates to the technical field of personalized data generation, and is suitable for the field of financial science and technology. The method comprises the steps of obtaining basic information of a user, insurance question and answer data and current behavior data of the user; predicting insurance preference prediction data of the target user according to the insurance question and answer data and the current behavior data of the user; acquiring a historical insurance proposal, current insurance product information and insurance claim settlement data; extracting candidate insurance key fields from the historical insurance proposal, the current insurance product information and the insurance claim settlement data according to a key field extraction rule; screening out a target insurance key field from the candidate insurance key fields according to the user basic information and the insurance preference prediction data; and performing proposal generation through the user basic information and the target insurance key field to obtain a target insurance proposal. According to the embodiment of the invention, the professional requirement and manpower during the generation of the insurance proposal can be reduced.

The invention discloses an online discrimination method for tobacco leaf maturity based on image processing technology, comprising the following steps: 1) collecting images of tobacco leaves of different maturity in the lower / middle / upper parts of mature tobacco plants; 2) preprocessing the collected images online to filter and reduce noise and extract edges and contours; 3) extracting eigenvalues ​​of the preprocessed images online; 4) using the mean and standard deviation of these eigenvalues ​​as inputs of a support vector machine to establish a network-side multi-classification model, and finally determining the maturity level of tobacco leaves. The method of the invention can realize online identification of tobacco leaf maturity before picking, does not require (carry) expensive equipment, only needs to use a mobile phone or camera to collect images of tobacco leaves, and can analyze and determine the maturity of the images online, and does not require high professional ability of users; the invention ensures accurate prediction of the maturity results of each leaf before harvesting, improves efficiency, and saves labor resources.

The utility model provides a kind of domestic portable splicing power module, it is related to power module technical field, comprising: shell, shell is located inside and is equipped with multiple battery packs, multiple battery packs top are equipped with detection device, and multiple battery packs top are respectively fixed with two connecting ends, and battery pack bottom is equipped with splicing hole for use in conjunction with two connecting ends, shell top is detachably connected with sealing cover.This kind of power module is spliced to battery pack by splicing assembly, and splicing process is easy to operate and understand, reduces professional requirement, improves assembly efficiency, and battery pack is split into several small battery modules, so that voltage and current are minimized, reduce the risk in assembly splicing process, secondly, portable component can conveniently carry power module for people, photovoltaic power generation panel is stored in shell both sides, reduce space occupancy, cooperate with handle to facilitate carrying and storing power module outside.

The invention discloses a fluorescent quantitative PCR (polymerase chain reaction) primer group for detecting paenibacillus mucilaginosus and application of the fluorescent quantitative PCR primer group. The sequence of the primer group is shown as SEQ ID NO.1-3, the reaction system comprises the primer group, a PCR buffer, Taq DNA polymerase, UDG enzyme, positive control and negative control, and the detection steps comprise: extracting nucleic acid of a sample to be detected, constructing the reaction system, carrying out a reaction according to a reaction program, and carrying out result interpretation. The method has the advantages that the detection method is efficient, simple and convenient, the specificity is high, the sensitivity can reach 10 < 2 > CFU / mL, and the detection result is accurate and reliable.

The invention relates to an SOC chip debugging method, system and device and a medium. In the scheme, an upper computer firstly determines a debugging library file; the debugging library file is a library file packaged through each message interface, and the message interface is an interface for generating each debugging message; and generating a debugging message by using the debugging library file, sending the debugging message to the SOC chip so as to remotely debug the SOC chip through the debugging message, generating a configuration file according to a chip debugging result, and sending the configuration file to the SOC chip. It can be seen that when the SOC chip is debugged, the system program does not need to be loaded to the SOC chip, the upper computer can send the debugging message to the SOC chip through the debugging library file, remote regulation and control of the SOC chip are achieved, and the debugging efficiency is improved; according to the scheme, when the SOC chip is debugged, the professional requirement for technicians is not high, and therefore the debugging difficulty of the SOC chip is lowered.

The invention discloses an electric screw-in piercing card, comprising an electric control handle (1), a piercing card sleeve (2) and a piercing card core (3); the electric control handle comprises a handle shell and a screw-in control component in the handle shell, the screw-in control component output end is provided with a coupling bayonet (11), the piercing card sleeve is provided with a control connection part (21) matched with the coupling bayonet, and the control connection part is connected to the electric control handle through the coupling bayonet; a first screw-in thread (22) is provided on the outer tube wall of the piercing card sleeve; the piercing card core is provided with a clamping part (31), the piercing card core penetrates the control connection part and the piercing card sleeve, the needle tip (32) extends to the outside of the piercing card sleeve, the clamping part is clamped with the control connection part, the piercing card core and the piercing card sleeve are screwed into the surgical piercing port and are tightened and contacted with the inner wall of the piercing port through the first screw-in thread. The invention can tighten and screw into the surgical piercing port through the thread, reduce damage to the surgical piercing port tissue, facilitate the piercing card to be sent into and positioned in the abdominal cavity wall, assist laparoscopic surgery to proceed smoothly, and facilitate postoperative recovery.

The invention discloses a system for carrying out finished automobile offline detection based on a finished automobile communication protocol and a working method thereof, the system comprises an EOL diagnostic instrument and an EOL upper computer, and the EOL diagnostic instrument obtains finished automobile CAN data through a diagnosis interface on a finished automobile and sends the finished automobile CAN data to the EOL upper computer in a wireless mode. And the EOL upper computer completes complete vehicle VIN writing and verification, controller software number comparison and flashing, and complete vehicle part parameter and state verification according to various parameter index requirements of a complete vehicle configuration file and a working process of off-line electric detection, automatically completes complete vehicle off-line detection and archives test data. According to the invention, through automatic electric test, the workload of related testers in the off-line process of the whole vehicle can be effectively reduced; the production efficiency is improved, and the controllability of the off-line electric detection process of the whole vehicle is ensured. Meanwhile, it can be effectively guaranteed that products are exported abroad, the whole vehicle assembly quality can be effectively detected, and technical training and time investment of production enterprises on foreign offline detection personnel are reduced.

The present invention discloses an electric permanent magnet wiring structure, wiring method and excitation coil repair method. The wiring structure includes a coil connector, the coil connector includes an insulating shell and a conductive sheet installed in the insulating shell, the insulating shell is provided with a main line connection area for accommodating the main line of the electric permanent magnet and a coil joint area connected to the excitation coil of the electric permanent magnet; one end of the conductive sheet extends to the main line connection area for connecting the main line, and the other end extends to the coil joint area for connecting the wiring terminal of the excitation coil. The electric permanent magnet wiring structure of the present invention has the advantages of being simple and practical, having good insulation performance, having a stable connection effect and being convenient for disassembly and maintenance; the wiring method using the wiring structure and the method for repairing the excitation coil in the electric permanent magnet using the wiring structure when it is damaged both have the advantages of being fast and efficient.

The utility model relates to an electric food injector which comprises an electric pushing and injecting device, the electric pushing and injecting device comprises a shell, a push rod is in linear sliding fit with the shell, the push rod is matched with an electric driving mechanism for driving the push rod to do linear reciprocating motion, the shell comprises a handheld part, and an injector mounting seat is arranged on the shell. A syringe containing groove coaxial with the push rod is formed in the syringe installation base, a disposable nasal feeding syringe is placed in the syringe containing groove in a positioned mode, and a front supporting plate for supporting the front end of a syringe barrel of the disposable nasal feeding syringe is arranged at the front end of the syringe installation base. A through hole for an injection nipple of the disposable nasal feeding syringe to penetrate out is formed in the front supporting plate, and the push rod is matched with a piston rod of the disposable nasal feeding syringe in a pushing mode. The disposable syringe can be used in cooperation with an existing disposable syringe, the intensity and professional requirements of medical workers are lowered, safety is improved, and cost is reduced.

The invention relates to the multi-element field of performance art, in particular to a full-dimensional digital performance visual preview system. Comprising rehearsal design software Depence, a conceptual design module, a complete system building module, a DMX / RDM control module, an equipment debugging and programming module, a construction drawing making module, an Exce l export and document module, a DMX-I n control input module, a 3D visualization module, a full visual element real-time simulation rehearsal module, a simulation animation effect picture module and a real-time performance simulation module. And a 4k high-definition animation effect module is provided. According to the method, the efficiency of performance visual design is improved, so that the labor cost and trial-and-error cost are reduced; collaboration among design departments is enhanced, and perfect presentation of a visual effect is ensured; the requirements on rehearsal talents and computer equipment hardware are reduced, and the application range of the system is expanded; visual elements and entity equipment are comprehensively integrated, and the artistic effect is improved; a plurality of preview display modes are provided, and the user experience is enhanced.

The invention belongs to the technical field of measurement verification, and discloses a laser type measurement equipment product receiving software verification standard device, which comprises a bottom plate, the bottom plate is provided with a positioning reference hole, a cylinder, a cone, a sphere, an inclined surface, a circular ring body, a groove-shaped hole and an arc groove, and the upper surface of the bottom plate is a reference surface; the cylinder comprises a high cylinder and a low cylinder. The method is designed for verifying whether laser type measuring equipment product receiving software can be normally used or not and whether various functions meet the use requirements or not before the laser type measuring equipment product receiving software is put into use, the correctness of the use test function is simulated by using a special marking device, and the realization of the product receiving software function and accuracy is verified; the data reading capability of the product receiving software is verified by using the special standard digital analog, and whether the product receiving software is lost or misread when reading the digital analog is judged. The method is simple in design structure, easy to operate, high in applicability, low in design cost, not high in professional requirement for personnel, visual in result and capable of meeting the class certification auditing requirement.

The embodiment of the invention provides a performance monitoring method and device based on a front-end webpage, equipment and a storage medium, and belongs to the technical field of financial science and technology. The method comprises the following steps: acquiring webpage monitoring configuration information of a target webpage; obtaining webpage monitoring data of the target webpage according to the webpage monitoring configuration information; wherein the webpage monitoring data comprises page operation parameters and interface operation parameters, and the page operation parameters comprise webpage loading duration information and page access times; performing page performance evaluation processing on the target webpage according to the webpage loading duration information and the page access times to obtain target page performance evaluation data; performing interface performance evaluation on the target webpage according to the interface operation parameters to obtain interface performance evaluation data; and performing performance level division on the target webpage according to the target page performance evaluation data and the interface performance evaluation data to obtain webpage performance level information. According to the embodiment of the invention, the performance monitoring of the front-end webpage can be simpler and more visual.

The invention provides an ocean precise time control dual-mode release system, which comprises a microprocessor, a power supply management unit, a mode selection unit, an underwater acoustic signal processing unit, an autonomous timing control unit, a sound control unit and a structural member, and is characterized in that the microprocessor adopts a dynamic voltage adjustment and clock frequency control technology; the power supply management unit comprises a lithium battery charging and discharging management circuit and a DC-DC voltage stabilizing circuit; the mode selection unit comprises an autonomous timing release mode, an underwater acoustic communication release mode and a dual-mode mixed release mode. According to the system, a dual control scheme combining autonomous timing and underwater acoustic communication is adopted, when underwater acoustic communication fails, the action of releasing the device can be completed through autonomous timing, the reliability of the device is greatly improved, and reliable recovery of mounted equipment is ensured; if an autonomous timing mode is adopted, operation by professionals is not needed; release control can be completed through an autonomous timing function, it is ensured that the test is carried out smoothly, and environmental influence can be avoided.

The application discloses an intelligent neuropsychological scale voice collection and analysis method and system based on multi-factor adaptive time window regulation. The method first collects information of a subject, records a current remaining time pool, calculates a previous performance dynamic adjustment factor, and calculates an initial time window of the subject in an MMSE test system. Then, the initial time window is adjusted to obtain an adaptive time window, the question is presented, and the voice recording and timing are started. Then, the adaptive time window is dynamically extended or compensated by using a time window dynamic extension mechanism based on real-time voice activity detection and a time window additional compensation mechanism based on real-time cognitive load indicators. Finally, the final actual recording time window is recorded, the voice quality is evaluated, and all questions are completed. The system comprises a front-end interactive collection module, a multi-factor time window dynamic calculation engine module, a real-time voice activity detection module, a back-end voice analysis service module and a global state management and process control module.

The present invention discloses a display method, a display system and an application of an electronic device, which specifically include: inputting an initial image; obtaining a first image correction parameter data set, the first image correction parameter data set including image correction parameter data for correcting unevenness within a display screen and / or inconsistency between the display screen and a reference screen; correcting the initial image using a first convolution kernel neural network and the first image correction parameter data set to obtain a corrected image of the initial image; outputting the corrected image data to a display screen for display, so that the display screen displays an image after correcting unevenness within the display screen and / or inconsistency between the display screen and the reference screen, so as to solve the technical problems of low precision and complex operation of existing display screen correction based on hardware parameters.