2149results about How to "Low efficiency" patented technology

Tailored doping of barrier layers enables balancing of the radiative recombination among the multiple-quantum-wells in III-Nitride light-emitting diodes. This tailored doping enables more symmetric carrier transport and uniform carrier distribution which help to reduce electron leakage and thus reduce the efficiency droop in high-power III-Nitride LEDs. Mitigation of the efficiency droop in III-Nitride LEDs may enable the pervasive market penetration of solid-state-lighting technologies in high-power lighting and illumination.

The invention belongs to the technical field of data security, and discloses a data management method based on a data resource security identification level, and the method achieves the automatic and intelligent decision making: achieves the data classification and the automatic identification of the security level through a machine learning and deep learning model, remarkably reduces the manual intervention, and improves the efficiency and accuracy. And dynamic real-time performance: in combination with a risk assessment model, the system can detect abnormal behaviors in real time and dynamically adjust a security policy in a data flow process, so as to ensure that the sensitive data is properly protected in different scenes. And security and compliance: a log auditing module ensures the traceability of all data operations, improves the response capability to potential risks through an anomaly detection algorithm, and provides effective compliance guarantee for data security governance. And the system can be compatible with various data sources, supports configuration and execution of various security policies, and is suitable for data security management requirements of different industries (such as finance and medical treatment).

The invention belongs to the technical field of electric power data security management and intelligent question answering, and particularly relates to an electric power data security policy large model question answering system and method based on relation pooling. The system comprises a power data security policy knowledge base, a language model, a question processing module, an answer generation module and a user output module. Data of the electric power data security policy knowledge base comes from an electric power data security policy file; the language model converts a natural language problem into a structured query for knowledge base retrieval; the question processing module retrieves policy terms related to the natural language question to serve as retrieval results; the answer generation module generates a final answer according to the natural language question and a retrieval result of the knowledge base; by introducing the intelligent question-answering system combining the large language model and the knowledge base, the problems of low efficiency, inaccurate interpretation, incapability of dynamically updating and the like in the existing power data security policy query and management are solved.

The invention discloses a screening efficiency online monitoring method, device and system based on a vibrating screen, and relates to the technical field of vibrating screen efficiency monitoring, and the screening efficiency online monitoring method comprises the following steps: collecting working parameter data of the vibrating screen in real time through a sensor arranged on the vibrating screen; the accuracy and stability of screening efficiency are improved by monitoring key parameters such as humidity, particle size distribution and vibration frequency in real time and combining a screening effect model and a dynamic correction algorithm. The system automatically adjusts equipment parameters, equipment overload or screen damage is avoided, the material passing rate is optimized, and production losses are reduced. Meanwhile, manual intervention is reduced through an automatic control mechanism, the automation level of a production line is improved, human errors are reduced, the equipment fault and shutdown time is shortened, the production efficiency is improved, and the service life of the equipment is prolonged.

The invention relates to the field of transformer parameter regulation and control, in particular to a parameter optimization method and device for a coupling type transformer. The method comprises the following steps: acquiring multi-dimensional real-time working monitoring parameters and real-time working environment state parameters of the coupling type transformer; performing nonlinear dynamic analysis and global state sensing modeling on the multi-dimensional real-time working monitoring parameters so as to construct a transformer global state sensing model; performing multi-parameter combination definition on the multi-dimensional real-time working monitoring parameters, performing dynamic operation simulation based on a transformer global state sensing model, and collecting operation simulation response data of a plurality of schemes; performing multi-target dynamic balance analysis on the operation simulation response data of the plurality of schemes to obtain an optimal transformer working parameter combination; and carrying out environment dynamic parameter change analysis on the real-time working environment state parameters, and constructing a real-time environment condition distribution field. According to the invention, efficient and self-adaptive adjustment transformer parameter optimization is realized.

The invention relates to the technical field of multi-source information integration, and discloses an intelligent fire-fighting command method and system based on a multi-modal AI large model.According to the intelligent fire-fighting command method and system, fire scene data are obtained in real time through multi-terminal information collection, scene reconnaissance feedback is conducted through flame and smoke recognition and dangerous goods recognition through an image recognition algorithm, and the fire-fighting commanding efficiency is improved. A pre-trained multi-mode live restoration model is utilized to carry out restoration simulation on a fire scene, a multi-source live simulation model is generated to analyze and formulate a personalized rescue plan, positioning and state information of a rescue unit is collected in real time, a rescue unit simulation model is constructed, and specific rescue execution steps are analyzed according to the personalized plan. The steps help commanders to realize accurate commanding and efficient rescue, the rescue decision accuracy is improved, the response time is shortened, the resource allocation is optimized, the emergency response capability and the successful rescue rate of a fire scene are remarkably improved, and the problem that in the prior art, the efficiency is low when multi-source information is manually integrated to restore the fire situation is solved.

The invention relates to the technical field of ecological data processing, in particular to a plant growth evaluation method based on ecological data analysis, and the method comprises the steps: collecting data; determining a temporary grid; soil type identification; identifying an abnormal grid; adjusting a grid; and evaluating the plant growth degree. According to the method, the accuracy of plant growth monitoring is improved through dynamic monitoring and intelligent adjustment, bad growth conditions and abnormal plants can be recognized in time, then targeted intervention measures are provided, the vulnerability of an ecological system is reduced, and meanwhile, the high efficiency and accuracy of data acquisition are ensured through dynamic adjustment of grid spacing and optimization of a monitoring strategy. The method also provides a scientific basis for soil quality and plant health, is helpful for realizing ecological balance, promoting reasonable utilization of resources, improving the stability of an ecological system, and effectively solves the problems of insufficient evaluation comprehensiveness and reduced data acquisition timeliness caused by dependence on a fixed trigger strategy and single data source.

The invention discloses a large model training fault recovery method based on distributed memory management, and the method comprises the steps: obtaining a model state at a current moment when judging that a check point storage service needs to be carried out in a current training round, serializing the obtained model state into a storable format, and generating check point data; then transmitting the check point data to a host side memory from a device side memory in the node; after the transmission is finished, continuing to train the task, and storing asynchronous check points at the same time; the asynchronous check point storage comprises data distributed memory backup and data persistence to a disk; and when the training task goes wrong, task recovery is carried out through check point data. When the fault is recovered, the backup data is preferentially read from the memory, and the delay caused by the I / O bottleneck of the disk can be obviously reduced, so that the training pause or the efficiency reduction caused by the operation of storing or loading the check point data is reduced, the efficient utilization of the GPU or other computing resources is kept, and the continuity and the stability of large-scale model training are improved.

The invention belongs to the technical field of pipeline construction, and particularly relates to a pipeline lowering assembly line in a plain area and a construction method.The assembly line is arranged at the front end of the starting end of pipe ditch excavation, and the assembly line is sequentially connected with a pipeline frame, a welding platform, a flaw detection platform, a joint coating platform, a pipe ditch support and a tractor in series through a conveying device; a pipeline is stored through the pipeline rack and conveyed to the welding platform for welding connection, welding quality detection is carried out on the flaw detection platform, anti-corrosion treatment is carried out on the joint coating platform, finally, the pipeline enters a pipe ditch through the pipe ditch support and then is connected to the bottom of the excavator through the tractor, and the excavator drags and distributes the pipeline. The problems that the road width is too large and the construction period is too long in traditional pipeline lowering are solved, the construction site can be saved, the construction efficiency is improved, and the construction cost is reduced.

The invention discloses glass stripping equipment for a single-glass photovoltaic module. The glass stripping equipment comprises a transmission unit, a stripping unit and an auxiliary unit, on one hand, through the combination of shoveling and grinding, the photovoltaic module gradually moves from bottom to top and a glass layer is preliminarily stripped through shoveling in the conveying process of the photovoltaic module from front to back, and then the remaining glass layer is comprehensively removed through grinding, so that the glass stripping efficiency and quality are greatly improved, and secondary adhesion is avoided; the glass residue rate is effectively reduced; on the other hand, on the basis of cooperation of the upper and lower transmission rollers, the shoveling module and the grinding module, the transmission unit is far away from the stripping unit to clean accumulated glass fragments, the problem of material blocking is rapidly solved, and operation is easy and convenient.

The invention provides a method for predicting reaction activity of a geopolymer precursor material, which comprises the following steps: S1, weighing the geopolymer precursor material A, and mixing with a NaOH solution; s2, heating and stirring the mixed solution in the S1, and reacting to obtain a composite solution; s3, carrying out suction filtration on the composite solution; drying and weighing filter residues obtained by suction filtration; s4, measuring the ion concentration in the filtrate obtained by suction filtration in S3; s5, calculating the dissolution rate of the A by using the mass of the A and the mass of the filter residues; s6, testing the actual activity index of the geopolymer precursor material A; s7, obtaining a calculation formula of the predicted activity index of A by using the dissolution rate and the ion concentration; and S8, solving a calculation formula of the actual activity index in S6 and the predicted activity index in S7 to obtain a calculation model of the predicted activity index of A. The problems that in the prior art, geopolymer precursor material reaction activity prediction is time-consuming and labor-consuming, not suitable for all environments and large in error are solved.

The invention discloses an integrated simulation method for flood routing, and the method is characterized in that the method comprises the following steps: delineating the plane contour of a ground feature in a research region, and carrying out the recognition and classification of the ground feature; fine modeling of ground objects in the research area is carried out; performing space-time numerical discretization on a two-dimensional control equation describing water flow movement on a computational grid, and constructing a two-dimensional hydrodynamic solver; establishing a ground feature calculation module and a connection calculation module of the river channel and the urban / flood storage and detention area along the river; establishing a space-time connectivity control module of the river channel and the urban / detention and detention area along the river, and carrying out simulation of flood routing and regulation and control of the river channel and the urban / detention and detention area along the river step by step; results such as a water flow plane physical field, a section water level and a flow process calculated by the flood rehearsal cooperative work system are stored in a hard disk, and flood regulation and control analysis and evaluation are carried out. The method has the advantages of being good in stability, high in reliability, high in calculation efficiency, high in universality and the like.

The invention relates to the technical field of lithium iron phosphate grinding, in particular to a grinding device for lithium iron phosphate production and a grinding method.The device comprises a tank body, a driving assembly and a first grinding assembly, a tank cover is installed at the top of the tank body, the driving assembly comprises a driving motor installed at the top of the tank cover, and a rotating shaft is fixedly arranged on an output shaft of the driving motor; the rotating shaft vertically extends into the tank body, the first grinding assembly is installed on the rotating shaft and comprises a first grinding seat, the first grinding seat is rotationally connected to the rotating shaft in a sleeving mode, the peripheral wall of the first grinding seat is fixedly arranged on the inner wall of the tank body, a conical groove is formed in the top face of the first grinding seat, and the rotating shaft is fixedly sleeved with a conical block; and a scraper is fixedly arranged on the peripheral wall of the conical block through a connecting block. According to the invention, the control capability on the granularity of the lithium iron phosphate material is improved, the uniform distribution of the granularity of the material is ensured, the problem of excessive grinding or insufficient grinding is avoided, the risk of material caking caused by the grinding wheel in the grinding process is reduced, and the grinding efficiency is improved.

The utility model provides a splicing type sound barrier which comprises a plurality of stand columns and sound barrier unit plates, the stand columns are sequentially arranged, the sound barrier unit plates are inserted between the adjacent stand columns, each stand column comprises a bottom plate and two wing plates, the two wing plates are fixed to the bottom plate and arranged in parallel, and a left side plate and a right side plate are of concave-convex structures matched with each other. The upper side plate and the lower side plate are of concave-convex structures which are matched with each other. The adjacent sound barrier unit plates and the upper and lower adjacent sound barrier unit plates and the left and right adjacent sound barrier unit plates are spliced through concave-convex structures, so that webs in traditional H-shaped steel can be omitted, only the profile steel with two wing plates is adopted for fixing, and the situation that an H-shaped steel structure is adopted in a traditional structure is avoided; the width of each sound barrier unit plate must be matched with the distance between every two adjacent section steel, construction inconvenience and efficiency reduction can be caused by the fact that the width of each sound barrier unit plate is too large or too small, the sound barrier unit plates can have large size elasticity within a certain range, and the production efficiency and the installation efficiency are improved.

The invention relates to an intelligent earth-rock filling and digging balance optimization method and system for a water conservancy project. According to the method, firstly, a laser scanner, unmanned aerial vehicle aerial survey equipment and a GPS positioning device are used for carrying out data collection on a construction site, and detailed topographic data and earth-rock distribution information are obtained; subsequently, construction requirements related to the hydraulic engineering are determined, including construction progress, construction sequence, resource availability, environmental limitation, and cost control. And based on the collected data and set construction requirements, a genetic algorithm is used for optimization, and an optimal earth-rock filling and digging balance scheme is generated. The optimization scheme covers a construction route, an equipment scheduling plan and a resource allocation scheme. And finally, hydraulic engineering construction is guided according to the optimization scheme, and efficient balanced filling and excavation of the earthwork are achieved. The construction efficiency is effectively improved, the cost is reduced, reasonable utilization of resources is ensured, and the method is suitable for various complex hydraulic engineering projects.

The invention discloses a segmented heating and stripping type glass stripping system for a single-glass assembly. The segmented heating and stripping type glass stripping system comprises a heating device and a stripping device, on one hand, on the basis of the preheating channel and the formation of the heating area for the glass layer, the single-glass assembly is subjected to segmented heating in the conveying process, the preheated battery piece is prone to deformation so as to flexibly adapt to the change of the conveying direction, and meanwhile, the glue layer between the battery piece and the glass is gradually softened so as to accurately enter the stripping operation; on the other hand, through the combination of shoveling and grinding, the single-glass assembly gradually moves from bottom to top in the process of conveying the single-glass assembly from front to back, a glass layer is preliminarily stripped through shoveling, and then the remaining glass layer is comprehensively removed through grinding, so that the glass stripping efficiency and quality are greatly improved, secondary adhesion is avoided, and the service life of the single-glass assembly is prolonged. The glass residue rate is effectively reduced; in addition, the conveying unit is far away from the stripping unit to clean accumulated glass fragments, the material blocking problem is rapidly solved, and operation is easy and convenient.

The invention relates to a visual attention mobility anti-attack method based on self-adaptive token fine tuning, which comprises the following steps of: constructing a feature important matrix by utilizing a proxy model middle layer, and generating a semantic-guided sparse mask; performing token-level point multiplication on the sparse mask and the initialized disturbance, and performing linear superposition on the sparse mask and the initialized disturbance and an original image to serve as initial input data; inputting the input data into the agent model for iterative training; in each round of iterative training, sparse masks are continuously updated, the number of discarded tokens is gradually increased, and gradient variance between layers in an agent module is reduced through gradient back propagation by using a gradient penalty factor and a balance factor. Meanwhile, self-adaptive truncation factor sets are designed for different modules of the agent model to weaken the attention mechanism of the model, and through T times of iterative training, a target loss function is maximized to obtain optimal mobility disturbance. Experiments prove that the method has better attack effect and mobility on the attack of the target model.

According to the energy storage coupling heat pump steam generation method and system, the mode that the heat pump device and the energy storage device cooperatively operate is adopted, and efficient and economical steam supply is achieved. The method comprises the steps that high-temperature water is prepared and stored in the off-peak electricity period through the heat pump device, and the high-temperature water is further heated through the energy storage device to generate superheated steam for a user to use. The energy storage device comprises a plurality of energy storage modules, and a heat exchange pipeline of the energy storage device can be switched between a parallel connection mode and a series connection mode through switching, so that deep heat release and flexible regulation and control are achieved. According to the method, the energy storage capacity and heat release power of the energy storage module are dynamically adjusted, enthalpy increment distribution of the heat pump and the energy storage device is optimized in combination with load prediction, and diversified steam requirements are met. And meanwhile, preheating or dynamic supplement is conducted on the energy storage module through the heat pump device, waste heat recovery is achieved, and the energy efficiency is improved. According to the method, the operation cost is remarkably reduced, the capacity of the system for adapting to load fluctuation is enhanced, and the method is suitable for industrial steam use scenes and has the advantages of being efficient, stable and flexible.

The invention discloses a photovoltaic cell hot spot intelligent detection method fusing multi-modal data. The method comprises the following steps: S1, collecting multi-modal data of a photovoltaic cell; s2, carrying out preprocessing on the multi-modal data; s3, constructing a photovoltaic cell sample data set; s4, extracting features of the multi-modal data; s5, fusing the multi-modal features to generate a comprehensive feature vector; s6, training and optimizing a dynamic hot spot detection model based on the space-time convolutional network; s7, identifying a hot spot area in the photovoltaic cell by using the model; s8, positioning and outputting a hot spot detection result; and S9, optimizing the detection model in real time in combination with a dynamic adaptive algorithm. According to the method, the multi-modal data fusion, the space-time convolutional network and the dynamic adaptive optimization algorithm are introduced, so that the hot spots in the photovoltaic cell can be detected and positioned more accurately and quickly, the false detection rate in a complex environment is effectively reduced, and the operation efficiency and reliability of a photovoltaic cell system are remarkably improved.

The invention relates to the technical field of electric power inspection, and discloses a climbing robot device of a power transmission tower and a control system thereof, the climbing robot device comprises a safety device deployment robot, the safety device deployment robot comprises a device box, the bottom of the device box is fixedly connected with an anti-collision plate, and the top of the anti-collision plate is provided with a supporting seat. A safety device is arranged to deploy cooperative use of a robot and a control system, an STM32F407ZET6 is used as a main control chip, a traditional PID control theory is improved, a YOLOv8 lightweight detection algorithm is improved, camera vision, wireless communication and man-machine interaction are fused to jointly complete a foot nail climbing operation task, and the problems that a currently common method is manual inspection, manual inspection is not needed, and the operation efficiency is high are solved. The problems that manual inspection is large in workload, hard in condition, long in inspection period and low in efficiency, and life dangers are prone to occurring when electric power workers climb an angle steel tower of a power transmission line to conduct detection and maintenance are solved.

The invention provides a light emitting device and a display panel. The light-emitting device comprises a first electrode layer, a light-emitting function layer and a second electrode layer which are stacked in sequence; the light-emitting functional layer comprises at least one light-emitting layer, the material of the light-emitting layer comprises a boron-containing light-emitting dye, and the energy level difference between the singlet state and the triplet state of the boron-containing light-emitting dye is greater than or equal to 0.3 eV. In the material of the light-emitting layer, the singlet state and triplet state energy level difference (Est) of a boron-containing light-emitting dye is greater than or equal to 0.3 eV, and the T1 energy level of the boron-containing light-emitting dye is relatively low, so that TTA (triplet state-triplet state annihilation) and TPA (triplet state-polaron annihilation) processes can be avoided, the efficiency roll-off of the light-emitting device is reduced, and the service life of the light-emitting device is prolonged; in addition, the up-conversion process from the T1 energy level to the S1 energy level of the boron-containing luminescent dye can be avoided, generation of long-life excited state excitons in the dye is avoided, and the service life of a device is prolonged.

The invention belongs to the technical field of microorganisms, and particularly relates to a microorganism detection culture device and method.The system comprises an intelligent environment control system, and a sensor monitors the temperature, humidity and gas concentration of a culture environment in real time to ensure that environment parameters needed by microorganism growth are kept in the optimal state; the automatic sample processing and operating system avoids pollution or errors caused by manual intervention through a mechanical arm or an automatic transmission device; the real-time image monitoring and analyzing system is used for monitoring the growth state of the microorganisms in the culture dish; the camera can continuously shoot images in the culture process; the rapid detection module rapidly obtains activity information of microorganisms, rapid detection is achieved, and time needed by traditional culture is shortened. According to the invention, accurate control, automatic operation and rapid detection are realized, and an efficient, safe and intelligent solution is provided for microbial culture and detection.

The invention provides swimming pool cleaning equipment, and relates to the technical field of swimming pool cleaning. The swimming pool cleaning equipment comprises a base body which comprises a bottom face and a containing cavity, and a liquid inlet communicated with the containing cavity is formed in the bottom face. And the rolling brush is rotationally connected with the base body, and the rolling brush and the liquid inlet are arranged in a spaced mode in the advancing direction of the swimming pool cleaning equipment. And the turbidity detection device is arranged on the bottom surface of the base body, is positioned between the liquid inlet and the rolling brush, and is used for detecting the turbidity of the liquid. In the advancing direction of the swimming pool cleaning equipment, the distance between the turbidity detection device and the central axis of the liquid inlet is a first distance, the minimum distance between the turbidity detection device and the rotating central axis of the rolling brush is a second distance, and the first distance is larger than the second distance. According to the swimming pool cleaning equipment provided by the embodiment of the invention, the turbidity of the liquid can be accurately measured, so that the swimming pool cleaning equipment can more intelligently plan a cleaning path, key areas are ensured to be fully cleaned, unnecessary repeated cleaning is reduced, and then the cleaning efficiency is improved.

The invention provides an intelligent verification integrated device for an aluminum alloy rear fork, and the device comprises a workbench, the middle part of the workbench is movably provided with two groups of sliding seats, the two groups of sliding seats are symmetrically arranged front and back, the interiors of the two groups of sliding seats are provided with limiting mechanisms, and the interiors of the upper ends of the two groups of sliding seats are provided with second supporting rods in an inserted manner. Front-and-back correction oil cylinders are arranged at the left end of the upper surface of the workbench, front-and-back correction blocks are arranged at the telescopic ends of the two front-and-back correction oil cylinders correspondingly, first supporting rods are inserted into the upper ends of the two front-and-back correction blocks correspondingly, and up-and-down correction blocks are movably installed in the lower ends of the two front-and-back correction blocks correspondingly. Through the up-and-down correction oil cylinder, the first supporting rod and the up-and-down correction block, Z-direction correction can be accurately conducted on a workpiece, through the front-and-back correction oil cylinder, the front-and-back correction block and the second supporting rod, Y-direction correction can be accurately conducted on the workpiece, operation is easy and fast, correction and inspection are integrated, and the percent of pass is high.

The utility model discloses an activated carbon adsorber capable of improving adsorption efficiency and adsorption capacity, and relates to the technical field of activated carbon adsorption equipment, the activated carbon adsorber comprises a filter box body, a filter assembly is arranged in the filter box body, and the filter assembly comprises two activated carbon filter plates which are arranged in the filter box body in a sliding manner; the two activated carbon filter plates are parallel to each other and are arranged in a staggered manner; according to the utility model, through the arrangement of the movable activated carbon filter plates, when one filter plate is gradually saturated, the filter plate can be moved into the purification box for purification or regeneration treatment, and the other unused filter plate is moved into the filter box body for continuously filtering waste gas, so that the overall adsorption capacity is effectively improved through the design; the adsorber can continuously and efficiently treat waste gas; in the adjusting process, the activated carbon filter plate does not need to be replaced by shutdown, so that production interruption and efficiency reduction caused by replacement of the filter plate by shutdown are avoided.

The invention provides a river-side village mountain torrent disaster evaluation method based on machine learning, and relates to the field of mountain torrent disaster research. The machine learning-based riverside village mountain torrent disaster evaluation method comprises the following steps: constructing a riverside village mountain torrent disaster index system: based on a theoretical framework of a disaster system, selecting riverside villages in a hilly region as basic units, combining unique properties of the villages, selecting indexes from three dimensions of disaster-inducing factors, disaster-pregnant environments and disaster-bearing bodies, and establishing a riverside village mountain torrent disaster index system; constructing a risk evaluation system of the comprehensive villages, the river reaches and the drainage basins; and risk grade division: dividing the mountain torrent disaster risk grades of the villages along the river based on the occurrence frequency of the historical mountain torrent disasters and the degree of damage caused by the historical mountain torrent disasters. Analyzing the importance of each index through a Gini index; calculating the Gini index of each risk index to obtain the importance of each risk index; in instance analysis, the sum of the index contribution degrees of the hidden danger level of the river reach reaches 61.65%.

The invention relates to the technical field of electrode materials, in particular to porous carbon, a silicon-carbon negative electrode material, an electrode plate, a lithium ion battery and an electric appliance. The porous carbon has micropores and mesopores, and the percentage of the pore volume of pores with the pore diameter smaller than 3 nm in the total pore volume is higher than 85%; the percentage of the pore volume of pores with the pore diameter less than 0.7 nm in the total pore volume is less than 15%; the pore size distribution of the porous carbon is in a Koelreuteria-type distribution, and the Koelreuteria-type distribution is that Dv / Dw of a pore size distribution curve is greater than 0.05 cm < 3 >. G <-1 >. Nm <-1 > in a pore size interval of 1-3nm. The porous carbon provided by the invention is micro-mesoporous porous carbon, is distributed in a koelreuteria shape, is low in pore resistance, can improve the silicon loading efficiency, ensures the adsorption capacity and also ensures the de-intercalation of lithium ions, and the silicon-carbon negative electrode material prepared from the porous carbon is high in capacity and efficiency and lower in expansion performance.

The invention discloses a new energy station network security assessment method and system, and relates to the technical field of new energy stations, and the new energy station network security assessment method comprises the following steps: obtaining network operation feature data; identifying the change trend of the network stability; identifying key security risk factors influencing the network stability; and adjusting the network protection strategy of the new energy station based on the evaluation result. According to the method, the network behavior recognition algorithm is used for carrying out stability analysis on the network operation characteristic data, the stability change trend is recognized, potential unstable behaviors or hidden dangers in the new energy station network can be found in time, the network state change can be pre-judged in advance, sufficient time and basis are provided for risk control, and the risk control efficiency is improved. According to the method, the key security risk causing network instability is accurately identified, generalization or fuzzy risk assessment is avoided, a basis is provided for formulating an accurate network protection strategy, and the risk prevention and control cost is reduced.

The invention discloses a log anomaly detection method based on a hybrid expert network, and the method comprises the following steps: S1, collecting and preprocessing log data of a plurality of heterogeneous systems, and generating unified structured feature representation; s2, inputting the data into a hybrid expert network, analyzing different log features and performing preliminary anomaly recognition; s3, dynamically adjusting expert module parameters through a self-organizing feature competition mechanism; s4, mapping the log features to a non-Euclidean space by adopting hybrid topological mapping, and processing anomalies in the high-dimensional data; s5, fusing a plurality of detection results through a recursive resonance fusion algorithm, and extracting a global abnormal mode; s6, based on a detection result, adjusting an expert network structure and parameters by using an adaptive feature feedback mechanism, and optimizing a module contribution degree; and S7, dynamically adjusting resource allocation according to the system load. The log abnormity in the complex IT system can be efficiently detected, and the detection precision and adaptability are improved.

The invention discloses an infrared screening automatic separator suitable for a discharging port, and relates to the technical field of material screening, the infrared screening automatic separator comprises a discharging inlet, a vibrating screen plate is connected to the upper end of the discharging inlet in an up-down sliding mode, and a screen hole abnormity detection mechanism is arranged between the vibrating screen plate and the discharging inlet; the screen hole anomaly detection mechanism is used for detecting the indentation degree of screen holes in the surface of the vibrating screen plate, the screen hole anomaly detection mechanism is provided with the movement limiting mechanism, the movement limiting mechanism is used for changing the screen hole detection track, and the real-time monitoring function reduces the screening efficiency reduction or the product quality problem caused by the screen hole problem of the vibrating screen plate; according to the sieve plate, the stability and reliability of the production process are ensured, the problems of the sieve holes can be found in time and repaired, further expansion and deterioration of the problems can be avoided, the complexity and cost of maintenance work are reduced, in addition, through regular monitoring and preventive maintenance, the service life of the sieve plate can be prolonged, and the overall maintenance cost can be reduced.