1566 results about "Electronic information" patented technology

The invention relates to the technical field of traffic flow regulation and control, and discloses an electronic information traffic flow automatic regulation and control system based on a wireless sensor network. The multi-source sensing module collects road network multi-dimensional traffic data through a wireless sensing network, and traffic situation characteristics are generated through a specific data fusion method. The spatio-temporal feature fusion module utilizes a spatio-temporal attention mechanism to associate cross-modal features, and the collaborative decision-making module inputs fusion features into a pre-trained distributed decision-making model to generate a regulation and control instruction set. The dynamic game optimization module constructs a multi-target game optimization model, and traffic signal parameters are optimized by adopting a dynamic game strategy decomposition algorithm. And the hierarchical execution module executes regulation and control instructions in a distributed manner through a three-level control architecture of a central decision-making layer, a regional coordination layer and an intersection execution layer. The system can comprehensively collect and fuse traffic data, realizes scientific decision making and accurate regulation and control, effectively improves the road passing efficiency, balances the road network load, and relieves traffic jam.

The invention provides an electronic information data association method and system based on the Internet of Things. The method comprises the steps that a parallel processing architecture is adopted to execute rapid protocol conversion on a high-priority data packet, data recombination is directly carried out through a pre-compiled conversion rule template, a complex format verification link is skipped, and the integrity and format correctness of the converted data packet are determined; response time and error rate statistical information in the data transmission process are obtained, protocol conversion rules and scheduling strategies are optimized through a feedback mechanism, and if the success rate of certain protocol conversion is lower than a standard value, corresponding mapping rules and verification algorithms are updated; and carrying out standardized packaging on all converted data by adopting a unified data exchange standard, adding an equipment identifier, a timestamp and a data type label, establishing a cross-protocol general data format, and carrying out final distribution after judging whether a data packet meets a standard format requirement.

The invention relates to the technical field of information processing, in particular to an electronic information dynamic scheduling and management system and method, and the system comprises a data flow dynamic monitoring module, a dynamic window adjustment module, a data distribution module and an instruction flow recombination module. According to the invention, the adaptability and flexibility of data processing are improved by monitoring the data flow in the electronic information in real time and carefully analyzing the size and type change, and the dynamic adjustment of the data processing window is realized by identifying the peak value and valley value of the flow and analyzing the flow fluctuation amplitude. By analyzing the dependency relationship and potential delay between execution instructions and re-arranging the instruction execution sequence, the system can more effectively distribute the load of a processor core, reduce the delay and enhance the processing speed, thereby not only optimizing the management of electronic information flow, but also enhancing the adaptive capacity of the system to a complex data environment, and improving the user experience. And a more efficient and safer information processing platform is provided.

The invention relates to the technical field of electronic information, in particular to a multi-band cooperative interference gallium nitride phased-array antenna control method and system. The method comprises the steps of extracting key parameters of electromagnetic signals, and generating a cooperative interference strategy combination; mapping the frequency band optimization weight to a dynamic working mode of the gallium nitride power amplifier unit, adjusting the radiation pattern characteristics of the reconfigurable dipole array according to the power distribution parameters, and constructing a composite beam forming framework; phase weighting and spatial multiplexing are carried out on the interference signals of all the frequency bands based on the composite beam forming architecture, and a multi-beam interference cluster is generated; thermodynamic state data of the gallium nitride power amplifier module in the multi-beam interference cluster generation process are collected in real time, and heat dissipation parameters of the liquid cooling system are regulated and controlled according to the thermodynamic state data. Intelligent collaboration and accurate pointing of multi-band interference signals are realized, the interference coverage range and the energy utilization rate are improved, and an efficient interference system integrating electromagnetic sensing, multi-beam collaboration and thermal management is formed.

The invention provides an intelligent electronic assembly quality control system based on AOI (automatic optical inspection) and SPI (solder paste printing inspection) integration, and belongs to the field of electronic information equipment flexible production lines. Comprising an AOI module, an SPI module, a data integration module, a feedback control module and a data storage and transmission module. All the modules carry out high-frequency data transmission through an industrial Ethernet; according to the system provided by the invention, the precision of quality detection is improved, and the accurate recognition of defects is realized through the data association of the AOI and the SPI module and the anomaly detection of the SVM and the CNN algorithm. Real-time process optimization is achieved, the feedback control module automatically adjusts printing and mounting process parameters according to the quality data model, and the product consistency is remarkably improved. The method improves the traceability and safety of the data, achieves the efficient storage and safety access of the detection data through distributed cloud storage and data encryption transmission, and supports the quality problem traceability.

The invention provides a large model reasoning acceleration method and system based on adaptive speculation sampling, and belongs to the field of electronic information. According to the method, the throughput is estimated by predicting the number of accepted lexical elements and the running time needed by current iteration, whether speculation decoding is executed or not is determined through a speculation controller, a draft sequence set is updated through a draft model, the updated throughput is estimated till the speculation length reaches the optimal value of the optimal throughput, and the optimal throughput is obtained. High-acceptance-rate lexical elements are screened out through a confidence priority verifier, and an output sequence set of speculation decoding is obtained after verification of a target model. The large model reasoning acceleration method and system based on adaptive speculation sampling can adaptively reduce reasoning delay in various real large model reasoning scenes.

The invention relates to the technical field of electronic information technology anti-counterfeiting, in particular to an electronic seal verification method based on a quantum true random number and an anti-quantum multi-dimensional dynamic code, which comprises the following steps of: generating a true random number by introducing a quantum random number generator, constructing a quintuple scene space, and fusing multi-dimensional data of a user, a seal, a file, time and a geographic position; an SPHINCS + anti-quantum signature algorithm is adopted, and block chain evidence storage is combined, so that a four-layer nested dynamic security system of quantum random injection, multi-source data binding, anti-quantum encryption and block chain evidence storage is formed. Meanwhile, a whole-process credible system from application, auditing to stamping and verification is constructed, compared with a traditional electronic seal, the quantum-attack-resistant electronic seal has remarkable breakthrough in the aspects of random number safety, quantum attack resistance, data fusion degree, tampering detection sensitivity and the like, and a credible electronic seal solution in the quantum era is provided for finance and other scenes.

The invention relates to the field of electronic information, and discloses a remote maintenance and fault diagnosis method and system for projection equipment, and the method comprises the steps: firstly collecting equipment operation parameters, verifying the equipment operation parameters through an identification code, and generating an operation verification record; then associating historical fault data, extracting abnormal parameters, monitoring deviation degree in real time, predicting a fault type and positioning a problem component; a maintenance target is formulated based on the specific state points, and a remote instruction is constructed with reference to a maintenance standard; and after maintenance operation is executed through the cloud platform, validity of feedback data is verified, and a digital report including fault diagnosis, maintenance effect evaluation and trend pre-judgment is generated. According to the invention, the efficiency of projection equipment maintenance and fault processing can be improved.

The invention discloses an electronic information system multi-fault diagnosis method and system based on artificial intelligence, and belongs to the technical field of electronic information system fault diagnosis, and the method comprises the steps: data collection and preprocessing, feature extraction and selection, multi-fault diagnosis model construction, real-time fault diagnosis and analysis, and fault recovery and feedback. The system comprises a data acquisition module, a preprocessing module, a feature extraction and selection module, a multi-fault diagnosis model module and a fault analysis and repair module, and all the modules cooperate to achieve full-process automation from data acquisition to fault repair. The method has a self-learning optimization capability, can significantly improve the fault diagnosis efficiency and reliability of a complex electronic information system, and is suitable for real-time fault diagnosis scenes of various types of electronic equipment.

The invention belongs to the crossing field of electronic information, artificial intelligence and geophysics, and particularly discloses a controllable source electromagnetic data strong interference suppression method and system, and the method comprises the steps: inputting controllable source electromagnetic data to be processed into a controllable source electromagnetic data classification model; obtaining first noise-free controllable source electromagnetic data and noise-containing controllable source electromagnetic data; converting the noise-containing controllable source electromagnetic data into two-dimensional image data through a dimension conversion function, and inputting the two-dimensional image data into the DWTSC-UNet denoising network model to obtain a denoising data result; performing dimension inverse conversion on the de-noised data result by adopting a dimension conversion function to obtain second noiseless controllable source electromagnetic data; and combining the first noiseless controllable source electromagnetic data and the second noiseless controllable source electromagnetic data to obtain complete noiseless controllable source electromagnetic data. According to the invention, high-precision and high-efficiency suppression of strong interference can be realized.

The invention relates to the technical field of information security, in particular to an electronic information security attack detection method and device based on a graph neural network. According to the electronic information security attack detection method and device based on the graph neural network, data are collected from a target electronic information network system, and an initial network topological graph structure is generated; feature selection and optimization are carried out based on a gold washing optimization algorithm, an optimized network node feature matrix and an optimized network edge feature matrix are generated, and an improved graph neural network model is established; and dynamically updating a network topological graph structure, inputting the optimized improved graph neural network model, analyzing features of network nodes and network edges, detecting abnormal behaviors, classifying attack types, generating attack paths, triggering an early warning mechanism, and outputting an attack detection result. According to the electronic information security attack detection method and device based on the graph neural network, accurate and efficient detection of electronic information security attacks is realized, and important technical support is provided for defense of complex network attacks.

The invention relates to the technical field of electronic information, and discloses a high-reliability storage chip packaging test method and system.The method comprises the steps that firstly, a to-be-tested storage chip and original parameter information of the to-be-tested storage chip are obtained, packaging structure data are collected to construct a three-dimensional model, chip feature data are extracted, then the chip feature data are compared with standard reference data, and potential defect information is mined; suspicious packaging parts are screened, the sensitivity of the suspicious packaging parts to environmental parameters is monitored, then fault risk types are evaluated, weak links are positioned, performance is detected, specific problem points are found out, then a test planning target is formulated, test means and standards are clarified, a test operation instruction is generated, finally, packaging testing is executed, electrical performance data are collected, and stability is verified. And generating a packaging test report. The stability of the memory chip can be improved.

The invention relates to the technical field of electronic information, and provides a real-time monitoring and anomaly detection method for an AI independent key in an all-in-one machine product, which comprises the following steps of: firstly, acquiring a to-be-detected all-in-one machine, identifying the AI independent key in the all-in-one machine, monitoring a key trigger signal, inquiring a signal feature code, performing spectrum analysis to obtain a feature spectrum sequence, and extracting a spectrum key value; detecting a key response track corresponding to the frequency spectrum key value, performing dynamic regularization analysis to obtain a regularized track sequence, identifying track sequence parameters, calculating track response values, collecting the change trend of the track response values, determining a fluctuation amplitude value to determine an adjustment mode, identifying a key state, comparing state data to obtain state comparison parameters, and performing dynamic regularization analysis to obtain a state comparison result; and inquiring potential abnormal factors, determining an abnormal level and an analysis index, constructing an abnormal detection signal and generating an abnormal detection scheme. The key use stability of the all-in-one machine product can be improved.

The invention relates to the technical field of electronic information materials, in particular to a metal foil with a carrier, a metal-clad laminated board and a circuit board. The invention discloses a metal foil with a carrier, a metal-clad laminated board and a circuit board, the metal foil with the carrier is characterized in that the metal foil with the carrier comprises a carrier layer and a functional layer, the functional layer is arranged on one side face of the carrier layer, and the functional layer is arranged on the other side face of the carrier layer. And the ratio of the thermal expansion coefficient a of the functional layer to the thermal expansion coefficient b of the carrier layer satisfies 40% < = a / b < = 120%. The thermal expansion coefficient ratio of the carrier layer to the functional layer of the metal foil with the carrier is in a proper range, so that the stripping stability of the metal foil with the carrier during use can be improved, and the processing efficiency is improved.

The invention discloses a multi-protocol high-speed image data receiving and aligning method and system based on an FPGA (Field Programmable Gate Array), and relates to the technical field of electronic information and image processing. Serial data streams from an image sensor are received, an FPGA serial input primitive is dynamically called to convert serial data into parallel data; a low-voltage differential signal protocol, a mobile industry processor interface protocol and a serial low-voltage signal protocol are supported; a configurable sliding window mechanism is adopted to compare synchronous codes in real time, and byte boundaries are locked; by identifying the time difference of arrival of data of each channel, multi-channel phase alignment is realized by adopting hardware-level delay compensation, and data arriving at the channel in advance is compensated by adopting a first-level register cache; and analyzing frame header and frame tail information of the image data, reconstructing an original image matrix and generating a video time sequence signal. The problems of poor compatibility and high resource consumption in multi-protocol high-speed image data receiving are solved.

The invention belongs to the technical field of electronic information, and discloses an unmanned aerial vehicle control method for non-cooperative target tracking, which comprises the following steps of: 1, acquiring a real-time video stream of a target by a pan-tilt camera, and extracting a target feature vector; step 2, defining and calculating a normalized visual error vector, and adjusting the attitude of the holder based on the target feature vector obtained in the step 1, so that the target is kept in the center of the image; outputting a pan-tilt yaw angle, a pan-tilt pitch angle and a normalized visual error vector; 3, designing a tracking quality factor and a pitch angle scale factor according to a result output in the step 2, and dynamically adjusting the maximum speed of the unmanned aerial vehicle to calculate an expected speed vector; and obtaining the speed and position of the unmanned aerial vehicle at the next moment. According to the invention, decoupling control is carried out on the motion of the unmanned aerial vehicle and the rotation of the holder, and the motion trajectory of the unmanned aerial vehicle is controlled on the premise of ensuring that the target is always in the view field range of the unmanned aerial vehicle, thereby realizing accurate and stable tracking of the non-cooperative target.

The present application relates to the technical field of electronic information, and relates to a protection circuit and an electronic device, which are used to solve the problem of EOS causing damage to external ports. The protection circuit is applied to the electronic device having an external port and a processing chip. The protection circuit comprises a first protection unit and a second protection unit. A first terminal of the first protection unit is configured to be coupled to a pin of the external port, and a second terminal of the first protection unit is configured to be coupled to the processing chip. The first protection unit is configured to isolate direct-current stress and / or surge stress at the first terminal of the first protection unit from the second terminal of the first protection unit. A first terminal of the second protection unit is coupled to the first terminal of the first protection unit, and a second terminal of the second protection unit is coupled to a ground terminal. The second protection unit is configured to reduce the surge stress and / or electrostatic stress at the first terminal of the first protection unit.

The invention provides a multi-bucket wheel machine collaborative operation scheduling system and method based on a swarm intelligence algorithm, and relates to the technical field of electronic information. Inputting the equipment information, the stacking information and the environment information into a first model to generate constraint conditions; performing global search based on an artificial bee colony algorithm introducing harmony search, and screening solutions according to constraint conditions in each iteration to obtain a group of feasible solutions; performing local search in each feasible solution neighborhood by adopting mixed integer programming to obtain a globally optimal solution; and generating working parameters of the equipment according to the globally optimal solution, and performing job scheduling. The artificial bee colony algorithm is improved by introducing a harmony search mechanism, the global search capability is enhanced, and premature convergence is avoided; and meanwhile, local optimization is carried out in combination with mixed integer programming, so that the solution accuracy is improved, the algorithm can adapt to yard scheduling requirements of different scales and different constraint conditions, and the overall operation efficiency is improved.

The invention provides a thermal interface material based on vinyl imidazole ionic liquid as well as a preparation method and application of the thermal interface material. The thermal interface material is prepared from the following raw materials: the vinyl imidazole ionic liquid, a heat-conducting filler subjected to surface treatment by a silane coupling agent, an initiator and a cross-linking agent. The thermal interface material is based on the vinyl imidazole ionic liquid and the heat-conducting filler, the limitation of a traditional thermal interface material base body is broken through, dispensing can be achieved, no solvent is needed in the preparation process, the adverse effect of solvent residues on the performance of a chip when the thermal interface material is applied to the chip subsequently can be avoided, and the thermal interface material has ideal interface bonding strength; the heat conduction effect is remarkable and stable, the heat stability is good, the material can be well attached to an interface, the problems of stress concentration, cracks and the like are not prone to occurring, and the material can be widely applied to the heat conduction and heat dissipation fields of aerospace, advanced energy, electronic information, military industry and the like.

The invention relates to the technical field of data exchange, in particular to an electronic information fusion transmission system supporting multiple protocols, which comprises a protocol identification and adaptation module, an intelligent routing scheduling module, a resource scheduling optimization module and a fault monitoring and recovery module. According to the invention, the protocol type identifier at the head of the data stream is analyzed and compared with the protocol database, and selection and conversion are carried out according to the compatibility of the data stream and the protocol, so that data conversion errors and information loss are avoided, the network state is collected in real time, the transmission path is evaluated, and the network node configuration on the path is dynamically adjusted; the data transmission efficiency is optimized, the overall operation efficiency of the network is improved, the network state change can be flexibly responded by monitoring the network resource use condition and dynamically adjusting resource allocation, the high load condition processing capacity is enhanced, the shutdown time of the system is shortened by monitoring and quickly responding to faults in real time, and the system reliability is improved. And the service reliability and the user experience are improved.

The invention relates to the technical field of information security, and particularly discloses an information security protection method and system applied to an electronic information platform, and the method comprises the steps: collecting information data, evaluating the reliability of a data source based on a Bayesian network model, analyzing the structural integrity of the information data through an auto-encoder algorithm, and calculating a comprehensive accuracy coefficient; based on an accuracy evaluation result, extracting a data exception rate and an access exception frequency, training a decision tree model in combination with historical data, establishing a risk prediction model, and dynamically calculating a risk coefficient; according to the real-time change of the risk coefficient, generating defense strategies such as data correction, access control, flow limitation and high-risk operation isolation, and re-evaluating the risk coefficient and data accuracy of the platform after execution; potential risks can be identified, various security threats can be flexibly handled, data loss and security vulnerabilities are reduced, and the stability and the anti-risk capability of an electronic information platform are improved.

The invention discloses an archive electronic information data recovery method, which relates to the technical field of archive management and data recovery, and comprises the following steps: obtaining original archive data, extracting first data and generating second data according to format characteristics, generating a version sequence of the data object based on the structured metadata, matching the third data and the encrypted data block which is not extracted in the first data as fourth data according to a preset strategy, performing decryption, generating fifth data according to a format feature, if the first data has the unextracted non-encrypted damaged data block, generating supplementary repair data, and if the first data has the unextracted non-encrypted damaged data block, generating the supplementary repair data. The first data, the third data, the fifth data and the repair data are integrated according to the hierarchical identifier, the association between the catalogue and the metadata is reconstructed, a complete file is generated, and a three-in-one system is formed by constructing a structured metadata version sequence, repairing heterogeneous data in a graded manner and fusing block chain dual verification and is suitable for file recovery.

The invention discloses a crop pest image intelligent identification system based on an electronic information technology, and relates to the technical field of agricultural informatization. The system comprises an image acquisition module which acquires RGB image data of a target crop area and synchronously acquires associated environment monitoring data and image shooting time data; the preprocessing module preprocesses the data; the insect pest recognition module outputs insect pest type data and insect body position frame selection coordinates through an improved YOLO recognition model; the comparison module generates insect pest development state data; a risk assessment module calls a pest hazard level dictionary matching risk coefficient, and calculates an environmental suitability value in combination with environmental monitoring processing data; the risk scoring module generates a comprehensive risk score; and the early warning decision module matches the prevention and treatment scheme data when the comprehensive risk score exceeds a preset threshold. According to the technology, intelligence and precision of insect pest recognition and early warning are realized, and the agricultural insect pest prevention and control efficiency is improved.

The invention relates to a protection circuit and electronic equipment, and relates to the technical field of electronic information. The problem that an external port is damaged by an EOS is solved. The protection circuit is applied to the electronic equipment with an external port and a processing chip. The protection circuit comprises a first protection unit and a second protection unit. The first end of the first protection unit is used for being coupled with a pin of an external port, and the second end of the first protection unit is used for being coupled with a processing chip. The first protection unit is configured to isolate the direct current stress and / or surge stress of the first end of the first protection unit from the second end of the first protection unit. The first end of the second protection unit is coupled with the first end of the first protection unit, and the second end of the second protection unit is coupled with the grounding end. The second protection unit is configured to reduce surge stress and / or electrostatic stress of the first end of the first protection unit.

The invention proposes a robot path planning algorithm based on a particle swarm optimization algorithm and a dynamic window method, and relates to the field of control theories and electronic information, and the method comprises the steps: introducing an inertia weight updating strategy based on a state factor, setting adaptive parameters and crossover and mutation operators to improve the global search capability, increase the population diversity, and improve the robot path planning precision. On-line self-adaptive updating of inertia weight and learning factors is realized on line in combination with Q-learning, gene combination modes are enriched through crossover operators, convergence and exploratory performance of the algorithm are improved, an obstacle avoidance strategy of a traditional DWA algorithm is improved, weight parameters of a dynamic window evaluation function are dynamically adjusted according to real-time information of a target and an obstacle, and an obstacle avoidance algorithm is established. According to the method, the global planning is adopted, the path points generated through global planning are adopted as temporary targets, fusion of MOQLCOPSO and the improved DWA algorithm is achieved, local optimum is effectively avoided, the planning efficiency and path safety are improved, and the method is suitable for mobile robot navigation under the complex three-dimensional terrain.

The invention relates to a slave core memory access optimization method based on a new generation SW many-core processor, and belongs to the technical field of electronic information. Comprising the following steps: firstly, designing five memory access schemes and a general memory access method according to an LDM continuous sharing mode; secondly, data preprocessing is carried out, array subscripts of array data actually needed in a calculation task are calculated in advance in a main core, repeated subscripts are removed, and a new array is constructed; finally, whether the actual data volume exceeds the maximum space capacity 8192 KB of the full-array LDM continuous sharing mode or not is judged; if yes, a general memory access method is adopted, that is, direct discrete memory access is carried out, and 128 KB Cache space capacity is set; and if not, selecting different memory access schemes according to the data volume. The method is selected for optimization, and the program execution efficiency is improved.

The invention relates to the technical field of image processing, in particular to a multi-modal electronic information system view processing method, which comprises the following steps of: acquiring image data, analyzing and determining data features and spatial distribution, and generating a feature positioning map; key content and background information in the image are identified and marked according to the feature positioning map, and a key content mapping map is generated; and adjusting image coding parameter setting based on the key content mapping graph. According to the method, compression of different levels is applied to key content and background information, so that the storage and transmission efficiency is optimized, and meanwhile, the most important image quality is reserved. Besides, the strategy of monitoring the network state in real time and adjusting the transmission rate and the compression rate ensures the optimization of data transmission under different network conditions, and reduces the risk of data transmission error or delay. By identifying repeated or redundant content, data stream processing is optimized, the burden of the system is reduced, and the efficiency and reliability of data processing are improved.

The invention discloses an electronic bidding file encryption transmission system and method and a storage medium, and the method comprises the steps: dividing an electronic bidding file of a transmitting end into a plurality of data blocks, and distributing a unique identifier for each data block; generating a permutation table and a round key sequence according to the session key and the data block identifier; multiple rounds of dynamic obfuscation operation are executed on the data block, each round of operation comprises bit operation based on a round key sequence and byte position rearrangement based on a replacement table, and an obfuscated data block is obtained; generating an authentication label for the confusion data block, binding the authentication label with the timestamp, the block identifier, the session identifier and the confusion data block, and sending the binding result to a receiving end; and the receiving end performs reverse decryption operation on the confused data block based on multiple rounds of dynamic confusion operation to obtain decrypted data, and verifies the decrypted data according to the authentication tag and the timestamp. The invention relates to the technical field of electronic information security, and solves the technical problem that in the prior art, an electronic bidding file is easily subjected to data tampering and replay attacks in the transmission process.

The invention relates to a control system, a firmware upgrading method, a refrigerator, a storage medium and a program product, and relates to the technical field of electronic information, and the control system comprises a first controller, a second controller and a communication module. The first controller is connected with the Internet of Things system through the communication module, and the first controller and the second controller are connected through an SWD interface and a UART interface. The first controller is used for receiving upgrading control information corresponding to the second controller sent by the Internet of Things system through the communication module, and controlling the second controller to perform firmware upgrading through the SWD interface according to the upgrading control information; and transmitting specified control information to the second controller through the UART interface, the specified control information being other control information except the upgrade control information. According to the method and the device, the firmware upgrading efficiency can be improved and the FLASH space of the controller can be saved under the condition that other controls between the first controller and the second controller are not influenced.

The invention discloses a nuclear power electronic information multi-source data fusion and visual analysis method, and relates to the technical field of nuclear power, and the method comprises the steps: S1, data collection; s2, data fusion; s3, feature extraction and selection; s4, performing data analysis and modeling; s5, carrying out visual design; s6, realizing visualization; and S7, result interpretation and application. And S8, performing feedback and optimization. According to the nuclear power electronic information multi-source data fusion and visual analysis method, multi-source data fusion can be easily realized, so that related personnel are helped to better understand and analyze the operation state of a nuclear power system, the accuracy and efficiency of decision making are improved, and complex data can be further promoted to become intuitive and easy to understand in cooperation with application of data visualization. Meanwhile, the nuclear power data visualization configuration software has flexible data access and processing capabilities, can adapt to continuously changing data and business requirements, and further improves the multi-source data fusion and visualization analysis effects.