80results about How to "Solve blindness" patented technology

The invention discloses a CFD (Computational Fluid Dynamics)-based modeling design method for a nuclear main pump and a designed million-kilowatt-grade nuclear main pump impeller, belonging to the technical fields of design and manufacture of pumps. The CFD-based modeling design method for the nuclear main pump is characterized by comprising four steps of: 1, selecting a model pump impeller satisfying similar conditions with a pre-designed pump impeller according to the design parameters of a million-kilowatt-grade nuclear main pump; 2, calculating size conversion coefficients by utilizing a conventional modeling design formula, and selecting 3-4 different size coefficients within a certain range to convert the model pump impeller; 3, carrying out numerical simulation respectively on the 3-4 pump impellers obtained in the step 2, and carrying out logarithm fitting on a relation between the size coefficients and delivery lift to obtain the nuclear main pump impeller meeting requirements; and 4, optimizing the nuclear main pump impeller obtained in the step 3 to complete the design. The invention has the advantages that the design problem of the high-temperature and high-pressure large-flow million-kilowatt-grade nuclear main pump is solved, and a design process is concise, efficient and controllable.

The invention discloses side information generating system and method based on distribution type video encoding, which belongs to the technical field of video encoding and mainly solves the problem that the original image information is lacked when the distribution type video encoding system is used to generate side information. The method has an encoder relevance calculating part, a decoder movement evaluating part, a movement smoothing part and a movement compensating part. The relevance among the original image frames is calculated by the encoder, and sent to the decoder. On the basis of relevance, forward and backward movements are evaluated by front and next decoded key frames, and the obtained movement vectors are detected and corrected. Then, the accurate movement vectors are obtained by the bidirectional movement evaluation and movement smoothing of an overlapped block. Finally, the side information is generated by the bidirectional movement compensation of the overlapped block. The invention greatly improves the object and subject quality of the side information and further enhances the quality of the decoded and restored image, and can be applied to the simple video communication system of the terminal equipment.

The invention relates to the field of reservoir reinforcement, and specifically belongs to a seeping hidden trouble detection and directional processing method and detection equipment for an earth and rockfill dam. Aiming at a problem that most of earth and rockfill dams in current water conservancy engineering have a problem of seepage, the invention provides a directional processing method integrating seepage inspection and seepage blocking. The objectives of the invention lie in judging an electrical property abnormal area of a seeping channel according to the testing result of the resistivity of the earth and rockfill dam, interpreting the specific distribution of hidden troubles through combining the technical data of the operation of the reservoir, carrying out the reasonable guide of subsequent reinforcement operations, optimizing the grouting technology, avoiding the blindness of seeping blocking construction, remarkably improving the project benefit and winning social reputation. The method and equipment are advantageous in that the method and equipment introduce the latest parallel electrical method detection technology into the seepage detection of the earth and rockfill dam, carry out reasonable grouting according to a detection result, achieve the integration of hidden trouble inspection and processing, and achieve a purpose of quick directional processing.

The present invention discloses a multi-mode satellite navigation-based parafoil flight path control system, which comprises a comprehensive solution module arranged on a parafoil, a multi-mode positioning module and a path planning module. The multi-mode positioning module and the path planning module are connected with the comprehensive solution module. The path planning module is also connected with a flight control tracking module. The system further comprises a meteorological testing module and a landform data acquisition module, wherein the meteorological testing module and the landform data acquisition module are arranged at an air-drop place. According to the technical scheme of the invention, the navigation reliability and the navigation precision are improved. At the same time, the blind-action problem during the conventional parafoil flight path control process can be solved. Therefore, the achievable rate of the landing precision is improved.

The invention relates to the technical field of biological information, and discloses a method and system for predicting amino acid mutation. The method and system for predicting amino acid mutation aim at improving the accuracy and the effect of prediction and effectively solving the problems that bioexperiment is blind, the cost of the bioexperiment is high and the like. The method for predicting amino acid mutation comprises the steps of establishing a protein sample set; determining characteristics of prefiltering, and integrating characteristics of the same sample into one characteristic sequence to combinedly establish an initial characteristic set of the sample; screening out relatively important characters through a stable character selection algorithm to combinedly establish a first screening out characteristic set of the sample; screening out important characters through a sequence forward selection algorithm to combinedly establish the final screening out characteristic set of the sample; selecting a positive sample and a negative sample to establish a training set and an independent test set, substituting the final screening out characteristic set of samples in the training set into a gradient promoting tree algorithm to be subjected to training so as to obtain a final disaggregated model, and conducting assessment on a prediction result of the disaggregated model by combining the final screening out characteristic set of the independent test set.

The invention belongs to the field of software reliability forecasting, and particularly relates to a software reliability forecasting method based on selective dynamic weight neural network integration. The software reliability forecasting method mainly includes the steps: A, generating neural network individuals: selecting Elman neural networks as network individuals and generating n neural network individuals by a Bagging algorithm; B, optimizing the individuals: firstly, determining the cluster number of the generated neural network individuals by a K value optimization algorithm, secondly, clustering the neural network individuals according to a K-mean clustering algorithm to increase individual difference, and finally, integrating the clustered individuals; C, building a dynamic model: building a dynamic weight model based on a fuzzy neural network by the aid of errors of fitting data of the optimized individuals; and D, performing integrated output: combining forecasting results of the optimized individuals with weights generated by the dynamic weight model to generate final forecasting results. A neural network integration algorithm is applied to software reliability forecasting, and the software reliability forecasting method has the advantages of high precision and fine stability.

The invention discloses a method for predicting elastic cloud computing resources based on an SARIMA-WNN model. The method comprises the steps that complementary advantages are achieved by using a seasonal autoregressive integrated moving average (SARIMA) model combining with a wavelet neural network (WNN) prediction model to improve the prediction accuracy; according to the SARIMA, seasonal periodic factors are added on the basis of an ARIMA model, periodic cloud resource demand data of a past section is input to a SARIMA (q, d, q)(P, D, Q) s model to obtain d, p, q, D, P and Q respectively;prediction is conducted on tranquilized and sequenced codes by using the SARIMA model, and a prediction result is marked as and an L residual value is marked as rt, wherein the prediction result andthe residual value can be obtained through the prediction; a model which conforms to elastic cloud source prediction is obtained through conducting training on the WNN network by using training samples, prediction is conducted aiming at the residual sequence rt, and the prediction result is marked as ; finally the prediction result of the SARIMA-WNN combined model is obtained. By means of the method, the problems of inaccuracy of a single model, poor effects of other combined models and the like are solved.

The invention discloses an Android application-oriented intelligent fuzzy test method. The method comprises application reverse symbol execution and Android application fuzzy testing. Android vulnerability characteristics are used for performing modeling analysis on an Android application to obtain an Android application entry function, a sensitive operation point, control flow and function call information; the reverse symbol execution is performed by taking the sensitive operation point as an entry to obtain path constraint information; the path constraint information is subjected to constraint solving to obtain a path test case triggering a vulnerability; the generated path test case is used for performing fuzzy testing on the Android application to monitor a program running state; andthe program running information is analyzed to generate a related vulnerability report. The test case triggering the vulnerability can be generated, so that the path explosion is avoided and the fuzzytesting under the guidance of the method is more targeted. Compared with a conventional fuzzy testing method, the method solves the problem of fuzzy testing blindness and improves the fuzzy testing efficiency.

The invention provides an air opening dust accumulation detection method, an air opening dust accumulation detection device and a power generating unit. The environment temperature is detected through an environment temperature detection device; a temperature detector is used for detecting the temperature in a protection structure; then, a controller is used for collecting the environment temperature and the temperature in the protection structure and judging whether a difference value between the temperature in the protection structure and the environment temperature is greater than or equal to a first threshold or not; when the controller judges that the difference value between the temperature in the protection structure and the environment temperature is greater than or equal to the first threshold value, a first dust accumulation warning signal is outputted, at the moment, the condition that the accumulated dust at an air opening of the protection structure of the power generating unit needs to be cleaned can be known in time, and the blind waiting for manual regular cleaning is avoided, so the problems of the blindness of the manual regular cleaning and non timeliness in the prior art are solved.

The invention provides an electricity reminding method, device and apparatus and a computer readable storage medium. The method comprises the following steps of: if the current battery electricity ofa terminal achieves a preset electricity threshold value, obtaining the current position of the terminal; judging whether the current position has a condition for charging the terminal or not; and ifthe current position has the condition of charging the terminal, sending charging reminding on the terminal. According to the method, the problem that the low-electricity reminding is blind in the prior art is solved; and condition factors of the current positions of terminals are comprehensively considered, so that the intelligence and personality of terminal electricity reminding are improved and the effectiveness and pertinence of reminding information are improved.

The invention relates to a horizontal well horizontal section relative sand outlet deficit profile prediction and sand prevention section grading method which comprises the steps that S1, distributionof reservoir rock mechanical parameter along the horizontal well horizontal section is calculated; S2, sand outlet critical production pressure difference distribution of the horizontal well horizontal section is predicted; S3, the actual bottomhole flowing pressure and the actual production pressure difference of all points of the horizontal section are calculated, and the bottomhole flowing pressure, namely, the bottomhole flowing pressure at the root end of the horizontal section is calibrated; S4, sand outlet net pressure difference is calculated, and dimensionless calculation is conducted to obtain a sand outlet strength index; S5, a relative sand outlet profile map of a horizontal well is drawn, the sand outlet deficit degree grade is divided, and he sand outlet degree is sectioned;and S6, the section grading scheme for section grading sand prevention is determined. Section grading sand prevention is guided by relative sand outlet profile prediction, the problem that general sand prevention of the horizontal well is high in blindness and poor in sand prevention effect is solved, the cost of sand prevention operation is reduced, long-term stable production of the horizontalwell is guaranteed, and economic benefits are increased.

The invention discloses a multi-mode and low-energy-consumption indoor heat adjusting method. By using each indoor heating adjusting mode, a plurality of thermal regulation schemes are formed, indoorthermal environment parameters in each mode are subjected to off-line prediction, an input / output database is built according to a human body comfort model, a current optimal adjustment mode is preferably selected in real time through system identification, and the input / output database is updated according to user feedback. According to the method, the problems of randomness and blindness of a user when an air conditioner is set are solved, the temperature of the body sensing temperature can be compensated by other low-energy-consumption heat adjusting means by means of air flow, the set temperature value of the air conditioner is increased or the opening time of the air conditioner is shortened, and the energy-saving and environment-friendly effects of building equipment are further realized while a comfortable and healthy indoor heat environment is created.

The invention belongs to the technical field of guide of parking lots and discloses a distributed intelligent guiding system and method for a parking lot. The distributed intelligent guiding system for the parking lot comprises a video monitoring module, an information collecting module, a parking space monitoring module, a central control module, an anti-blocking module, a path guide module, an early warning module, a parking charging module, a data protection module and a display module. The distributed intelligent guiding system and method for a parking lot in the invention can dynamicallymonitor the parking space and prevent the problem of battling for a parking space from occurring; the parking fee of an unlicensed vehicle generated in the parking lot is accurately worked out throughthe parking charging module; the problem that a sentry box terminal cannot normally complete the operations such as entrance and charging which affect the normal operation of the parking lot is solved through the data protection module when the parking lot has problems such as computer breakdown, abnormal power failure, database file damage and the like, thereby greatly reducing the loss of the parking lot caused by failures.

The invention discloses a sea rescuing and salvaging device. The device comprises a man riding pallet, wherein dynamic buoyant structures are symmetrically arranged at two sides of the man riding pallet, and the inner sidewalls of the two dynamic buoyant structures are in contact with the man riding pallet; two parallel telescopic connecting supports are arranged at the upper part of the man riding pallet; two ends of the connecting supports are correspondingly fixedly connected to the dynamic buoyant structures; a supporting cross bar is arranged between the top parts of the two connecting supports; recovering and releasing mechanisms are arranged at two sides of the supporting cross bar; two ends of the recovering and releasing mechanisms are correspondingly rotatably connected to the top parts of the two connecting supports; and the recovering and releasing mechanisms are connected to the sidewall of the man riding pallet through flexible connectors. The device can be loaded to an unmanned boat to perform unmanned independent rescuing, so that the working efficiency and the timeliness of sea rescue are improved; and meanwhile, the risk of sea manual rescuing is avoided.

The invention discloses an acceleration method of a ray tracing algorithm in home decoration design software. The optimization of the ray tracing algorithm and the hardware acceleration of a GPU (Graphics Processing Unit) are combined, the optimized ray tracing algorithm is realized through CUDA (Compute Unified Device Architecture) programming, the ray tracking algorithm based on CUDA acceleration is realized on the high-grade GPU which supports recursion and the low-grade GPU which does not support the recursion, and the software and hardware combination of the optimization of the algorithm and hardware acceleration of the GPU is used for accelerating the rendering of the ray tracking algorithm. The acceleration method fully performs the advantages of a bounding box algorithm and a space subdivision algorithm, solves the blindness problem of ray and bounding box traversal, is simple, is obvious in acceleration effect, is simple in implementation, avoids a phenomenon that a great quantity of data is transmitted between a CPU (Central Processing Unit) and the GPU, fully utilizes the own memory of the GPU, and provides a superexcellent implementation scheme for the algorithms including the ray tracking algorithm and the like which operate on the CUDA and need recursion.

The invention provides an efficient test cross breeding method of maize inbred line combining ability. The method includes: adopting a plant test cross method, only retaining single plants with high combining ability, growing next generations in head progeny rows, and then performing plant test cross till the head progeny rows are stable; secondly, according to a conventional breeding procedure, matching cross combination, performing multi-site test, regional test and the like, and finally breeding a new crossbreed to finish the whole breeding procedure. Compared with the conventional technique, the method has the advantages that the inbred line combining ability can be maintained at a high level, measurement accuracy is high, and efficiency of breeding the inbred lines with high combining ability can be increased by more than 50%. The problem of blindness in combining-ability test cross of the conventional technique is solved, accuracy in breeding the inbred lines with high combining ability is improved, and a foundation is laid for improving efficiency of commercialized maize breeding.

The invention provides a gene detection method for evaluating intake of nutrient elements. The method is characterized by comprising the steps of 1, designing a polymerase chain reaction (PCR) amplification primer and a single base extension reaction primer according to online primer design software; 2, after diluting a DNA sample to be detected, conducting PCR amplified reaction, shrimp alkaline phosphatase treatment reaction, single base extension reaction of genes to be detected, sample desalination and application of the sample to a chip; 3, analyzing the gene type of the DNA sample to be detected by means of the single nucleotide polymorphism typing detection technique; and 4, obtaining a genetic typing result according to obtained data.

The invention discloses a staining solution for zirconia ceramic for the dental department. The staining solution is composed of a coloring agent, a dispersing agent, a complexing agent, a thixotropic agent and a color indicator. According to the staining solution, the color indicator is added, so that the staining solution can show different colors before sintering; and the dyeing time can be adjusted according to the color shade, so that the blind dyeing can be prevented. With the adoption of the staining solution, the defects that the penetration coloring technology is limited by human factors, and the penetration coloring process of the all-ceramic crown has the blindness and the experimental property are overcome, and the staining solution has the advantages that the dyeing penetration time is short, the stability is strong, and the all-ceramic crown product is high in high-quality rate; the staining solution is simple in production and using method, easily available in raw materials, low in cost, and suitable for large-scale industrial production.

A machine tool metering parallel comprises a parallel base, a wedge, a lower seat pad, an upper seat pad and an adjusting bolt, wherein the outer end of the adjusting bolt is arranged on the sidewall of the parallel base, the inner end is rotatablely arranged in the bolt of the sidewall of the wedge, an inclined plane is arranged on the bottom surface of the inner cavity of the parallel base, the inclined plane is provided with a groove, the upper end face of the wedge is a plane and the lower end face is an inclined surface provided with a boss I, the wedge is arranged on the inclined plane of the parallel base, the boss I is arranged in the groove; a seat pad base is arranged on the upper end face of the wedge, an upper parallel is arranged in the cavity of the seat pad base, the upper seat pad is above the lower seat pad, the arc convex of the low end face of the upper seat pad is matched with the arc concavity of the upper end face of the lower seat pad; in addition, through holes used for passing a foundation bolt through are arranged in the middles of the parallel base, the wedge, the seat pad base, the upper seat pad and the upper seat pad. The machine tool metering parallel of the invention can be used to measure and display the pressure of the parallel and provide reliable technical data for debugging and installing the machine tool.

The invention discloses a method for modeling and analyzing protein fingerprinting of advanced colorectal cancer and a kit. The steps comprises: (1) respectively establishing serum protein fingerprinting for patient samples with advanced colorectal cancer, who suffer from a chemotherapy regimen; (2) extracting serum protein fingerprint characteristics in the serum protein fingerprinting of the obtained samples, and respectively establishing standard models based on the chemotherapy regimen; (3) establishing serum protein fingerprinting for patients with advanced colorectal cancer, who do not suffer from the chemotherapy regimen, and extracting the serum protein fingerprint characteristics; and (4) contrasting and analyzing the serum protein fingerprint characteristics of the patients who do not suffer from the chemotherapy regimen, with the standard models established in the step (2). The chemotherapy regimen may be FOLFOX or FOLFIRI. The method overcomes a blindness problem of a therapeutic regimen for advanced colorectal cancer. Before chemotherapy, the serum protein fingerprinting of the patients with advanced colorectal cancer is detected, to analyze the patient is a beneficiary of the FOLFOX regimen or the FOLFIRI regimen.

The invention discloses an order agricultural system. The core structure is as follows: a module M1 which calculates the types and weights of foods needed by an individual or / and a crowd in each day in a certain period of time in the future based on the demands of the health of the individual or / and the crowd for various daily nutrients, a module M2 which is used for counting and summarizing the types and the weights of the various foods obtained in the step M1 according to time periods and regional distribution, and obtaining distribution big data of the types and the quantities of the required primary agricultural products matched on a time axis and in a regional space dimension, and a module M3 which is used for distributing the primary agricultural product demand order obtained in thestep M2 to related producers to arrange agricultural production and deliver the order on schedule. The method scientifically solves the problem of blindness which puzzles agricultural production for along time, can effectively avoid the social stubborn diseases that the supply of various agricultural products is greater than the demand and unsalable waste or the supply is short, and can scientifically and reasonably meet and guarantee the nutritional and healthy diet demand which puzzles consumers for a long time.

The invention discloses an influence factor analysis method and device for neural nodes of a convolutional neural network. The invention provides a convolutional neural network visualization algorithmbased on a PageRank. A general module required in most convolutional neural network training processes is provided; wherein the functions include parameter adjustment, important node selection, calculation amount reduction, normalization processing, important influence factor analysis, input and output result flow direction and the like. And the method can be integrated with any standardized convolutional neural network and various indexes for evaluating the important association degree of the nodes, so that high-efficiency and high-precision association analysis is realized, and the existingdata is utilized to the maximum extent. The problems of blindness and uninterpretability of a result during parameter adjustment of a traditional convolutional neural network and low interpretability, low efficiency, time waste and the like of model adjustment and optimization depending on global traversal of all parameter combinations and algorithm parameter adjustment experience are solved, andthe interpretability of the convolutional neural network and the accuracy of the model are further improved.

The invention provides an automatic control system for water quality of an industrial boiler. The automatic control system comprises an automatic dosing system, an automatic sewage discharging system, an automatic monitoring system and a PLC central control system, wherein the automatic dosing system is connected with a dosing opening of the industrial boiler; the automatic sewage discharging system is connected with a sewage discharging opening of the industrial boiler; the automatic monitoring system is connected with a sampling opening of the industrial boiler; the automatic monitoring system automatically monitors the water quality of the industrial boiler in real time and transmits the monitoring results to the PLC central control system; the PLC central control system controls the dosing type, the dosing mode, the dosage and the dosing timing of the automatic dosing system according to the results, and controls the sewage volume and the sewage discharging timing of the automatic sewage discharging system. The automatic control system can automatically monitor the water quality of the industrial boiler system in real time and automatically performs dosing and sewage discharging according to the monitoring results, so as to control the water quality within the standard range.

The invention discloses an information releasing system. The information releasing system comprises a database, an information pre-releasing subsystem, an information popularizing subsystem and an information monitoring subsystem, wherein the database is used for storing information, the information pre-releasing subsystem is communicated with the database and is used for pre-releasing information to the database, the information popularizing subsystem is communicated with the database and is used for spreading the information in the database, and the information monitoring subsystem is communicated with the database and is used for carrying out statistics on and monitoring the information in the database. The information releasing system solves the problem that the information is released blindly, the information releasing situation is comprehensively monitored, and the initiative for information spreading of a user and the timeliness of the information spreading are improved.

The invention discloses a design method of a tire outer contour structure for reducing tire wind resistance. The method comprises the following steps: step 1, establishing an initial tire model; step2, constructing an initial tire wind resistance calculation model; step 3, designing a test scheme; step 4, constructing a function relationship between a tire outer contour parameter and an aerodynamic resistance coefficient value thereof according to test data in the step 3, and verifying the precision of the function relationship; step 5, obtaining tire outer contour parameters when the aerodynamic resistance coefficient value is minimum by adopting an optimization algorithm. The method has the beneficial effects that the blindness problem existing in the structural design of the outer contour of the tire can be effectively avoided, so that the design period is shortened, the efficiency is improved, and meanwhile, a certain guiding effect on the improvement of the wind resistance performance of the tire is also achieved.

The invention discloses a WLAN indoor positioning method based on sample capacity optimization and variance analysis. The method comprises the steps of firstly during an offline stage, based on analysis on RSS sample characteristics, using an OC function to optimize a fingerprint database to construct an allowable minimum RSS sample; then, selecting an optimal AP (access point) for constructing the fingerprint database via an AP selection method based on information gain; and at last, roughly positioning a target terminal via a statistical hypothesis variance analysis method by using the affect of the RSS sample mean and sample capacity on similarity between samples during on online stage, and thus providing a KNN algorithm based on variance analysis to finely position the target terminal.According to the method provided by the invention, the problem of influence of the blindness and unreliability of fingerprint data collection and the fluctuation of the RSS sample on the positioningperformance is solved. Experimental results show that by using the method, the relatively stable positioning result is acquired with the limited sample capacity, and the labor and time overheads are significantly reduced.

The invention discloses an Internet of Vehicles WIFI advertisement release system, which belongs to the field of Internet of Vehicles information release and is used for solving the problem of blindness in information release of an advertisement release system within a vehicle WIFI signal coverage area. The Internet of Vehicles WIFI advertisement release system has the technical essentials of comprising an advertisement release platform and a network access device, wherein the network access device is mainly composed of a modem, a mobile communication terminal and a WIFI module, the WIFI module reads a web browsing history of a wireless terminal user, and the advertisement release platform obtains the browsing history and pushes a commodity advertisement matched with the browsing history. Beneficial effect is that resistance feeling of the vehicle WIFI users to the blind advertisements is reduced.

The invention discloses a software analysis method and system based on dynamic instrumentation. The method comprises the steps of obtaining test sample data and a to-be-tested program; performing structural analysis and machine code translation on the to-be-tested program to obtain an instruction sequence, determining at least one breakpoint according to the granularity of a basic block in the instruction sequence, and determining an instrumentation instruction corresponding to each breakpoint; taking the test sample data as input data of the to-be-tested program, executing the to-be-tested program, monitoring breakpoints in the to-be-tested program, and obtaining and storing execution path information and crash information; determining a coverage rate of the basic block according to the execution path information, determining a crash sample according to the crash information, screening according to different execution paths corresponding to the crash sample, and determining a unique crash sample; and determining a security evaluation result of the to-be-tested program according to the coverage rate of the basic block and the number of the unique crash samples.

The invention provides an LNG storage tank automatic pre-cooling system based on efficient communication and a pre-cooling method. A CFD numerical simulation module is used for conducting pre-cooling process simulation, and initial flow parameters are provided for the pre-cooling process; and the point positions are installed on a storage tank in a modularized manner, and signal transmission between all sensors in the pre-cooling system and an integrated operation platform is achieved through 5G technology. According to the LNG storage tank automatic pre-cooling system and the pre-cooling method, limit values of parameters such as temperature drop rate, thermal stress, temperature difference between two adjacent points, inner tank pressure and the like are set on the basis of the integrated operation platform, monitoring results and the limit values are compared and analyzed, and then an electric control valve module and a variable frequency pump module are automatically adjusted, so that the conveying flow of a pre-cooling medium is adjusted, and it is guaranteed that the pre-cooling process is stably and safely carried out. According to the LNG storage tank automatic pre-cooling system and method, automatic, integrated and integrated control over the pre-cooling process can be achieved, monitoring personnel do not need to be arranged at monitoring points for a long time, potential safety hazards are avoided, manpower and material resources are saved, pre-cooling control is more accurate, and the pre-cooling efficiency is high.

The invention relates to the technical field of production devices, in particular to a network security active defense resource configuration method and system, and provides the following scheme that the method comprises the following steps: establishing a risk transfer model of a network security node, and taking a network overall transfer risk as a target function of network security active defense resource configuration; and establishing constraint conditions of network security active defense resource configuration, and configuring network security active defense resources according to the target function and the constraint conditions in combination with node features and service features of a deployment environment. According to the method, the multi-node and multi-service characteristics of the real deployment environment are combined, reasonable optimal configuration of the energy internet network security active defense resources of the actual intelligent park system is realized, and the blindness problem of development of defense resource configuration based on experience in the prior art is avoided.