353results about How to "Achieve coverage" patented technology

The invention discloses a mountainous area high pier cast-in-place safety detection method based on multi-source data fusion, and relates to the technical field of intelligent building safety monitoring, and the method comprises the steps: deploying a sensor network, a multi-angle holder video monitor and an unmanned aerial vehicle, covering a mountainous area high pier for comprehensive monitoring, and collecting multi-source data; transmitting the multi-source data to an edge computing node in real time through a wireless network, and preprocessing the multi-source data to form a standardized multi-source data set; applying a spatio-temporal data fusion method, combining historical data and a comprehensive data model to predict a security risk, and generating a risk factor; threshold and rule abnormity identification is carried out on the risk factors, the safety condition is evaluated in real time, early warning is triggered in real time, and disposal suggestions are provided. According to the method, the safety detection efficiency and accuracy in the mountainous area high pier cast-in-place process are remarkably improved through multi-source data fusion and a quantum enhancement multi-modal algorithm, the triggering speed of safety early warning is effectively increased, and the safety guarantee of a construction site is remarkably enhanced.

The invention discloses an electric power and electric quantity balancing method and system, and relates to the technical field of electric power management. S2, demand prediction; s3, evaluating the power supply capability; s4, carrying out resource optimization configuration; s5, integrating renewable energy sources; s6, demand side management; s7, performing real-time monitoring and adjustment; and S8, performing performance evaluation and feedback, and constructing an electric power and electric quantity balance system based on the method. According to the electric power and electric quantity balancing method and system, the accuracy and efficiency of electric power and electric quantity balancing can be remarkably improved, various electric power demand changes can be effectively handled, and stable operation of a power grid is ensured. Meanwhile, by dynamically adjusting access and demand side management of renewable energy sources, the purposes of maximum utilization of energy sources, energy conservation and emission reduction are achieved. Finally, through regular performance evaluation and feedback, the system performance is continuously optimized, a closed-loop optimization process is formed, and powerful support is provided for sustainable development of a power system.

The invention discloses a visual detection system for an automobile door panel assembly, and relates to the technical field of automatic detection, and the visual detection system comprises the steps: installing a high-precision industrial camera, and carrying out the synchronous collection of the multi-view image data of an automobile door panel; preprocessing the acquired multi-view image data of the automobile door panel; carrying out detail enhancement on the preprocessed multi-view image data of the automobile door panel by adopting a super-resolution algorithm; integrating the enhanced multi-view image data of the automobile door panel into an automobile door panel panorama through binocular stereoscopic vision matching, and constructing an automobile door panel three-dimensional model; the automobile door panel three-dimensional model is compared with a standard automobile door panel three-dimensional model, and the buckle defect in the automobile door panel is recognized; and carrying out position marking and defect type analysis on the identified defect points, and generating an automobile door panel detection report according to the defect type analysis. According to the invention, details are enhanced by using a super-resolution algorithm, defects are accurately positioned by using a three-dimensional model, and the detection efficiency and accuracy are improved.

The invention discloses an advertisement compliance knowledge question-answering method, device and equipment for foreign enterprises, and the method comprises the steps: obtaining advertisement compliance data of a global data source, carrying out the document structuring and knowledge extraction of the advertisement compliance data, and constructing an advertisement compliance knowledge graph; converting text data in the advertisement compliance knowledge graph into vectors to obtain vector data; semantic analysis is conducted on a query question input by a user, construction is conducted in combination with the vector data, prompt words are obtained, the prompt words are input into a preset large language model, and target answers are obtained; and outputting the target answer based on the advertisement compliance knowledge graph, and visually displaying the target answer in a corresponding answer query graph. And comprehensive and efficient compliance information query and answer services can be provided, so that compliance review requirements of foreign enterprises on advertisements in a multi-language and cross-regional environment can be met.

The invention provides a dual-motor automatic feeding core drilling machine and a control method thereof. A main shaft motor module and a feeding motor module of the automatic feeding core drilling machine are distributed on the two sides of a rotary feeding composite module, and the main shaft motor module and the feeding motor module are mechanically connected at the tail end of a driving motor. And the automatic feeding drill controller and the composite cable connector are concentrated on the right lower side of the equipment. The main shaft motor module and the feeding motor module respectively provide power sources for the rotating motion and the feeding motion of the screw rod for the rotating and feeding composite module, so that the rotating speed and the feeding speed of the screw rod are controlled; the screw rod drives the drill bit to do controlled rotary feeding motion, and drilling machining is completed; the main shaft motor realizes output of two power transmission paths of the main shaft motor module through switching of forward rotation and reverse rotation, and realizes invariable-speed output and 2.5-3.6-time acceleration output of the main shaft motor module through cooperation of different gear sets. Coverage of different rotating speeds and feeding speeds can be achieved on the gear set layout, and a stable closed structure, a reasonable hand holding space and a convenient operation mode are achieved.

The invention discloses an existing building outer wall internal and external heat insulation energy consumption optimization method based on a building model, and belongs to the technical field of building design. In order to solve the problems of insufficient data comprehensiveness and incomplete thermal insulation scheme evaluation, the thermal insulation performance of a building can be evaluated more accurately by checking an outer wall structure on site, recording material types, damage degrees and the current situation of a thermal insulation layer and combining scientific methods such as thermal resistance testing and heat transfer coefficient measurement; digitization and visualization of building information are achieved through the BIM technology, historical energy consumption data are collected from multiple data sources and systematic arrangement and classification are carried out, the readability of the data is improved, rapid import and analysis can be conveniently carried out in energy consumption simulation software, and therefore the energy consumption condition of a building is reflected more accurately; according to the method, comprehensive coverage of multiple possibilities is achieved, the influence of different heat preservation schemes on energy consumption can be evaluated more comprehensively, differentiated design is conducted on the thickness of the heat preservation layer based on the energy consumption simulation result, and the heat preservation performance of a building is effectively improved.

The aluminum profile sheet weld joint welding device comprises a welding mechanism, the welding mechanism comprises a welding equipment body, the bottom end of the welding equipment body communicates with a material injection hopper, the bottom end of the material injection hopper communicates with a welding main pipe, and the welding main pipe is electrically connected with the welding equipment body through an external power source; a protection mechanism is arranged at the bottom end of the welding main pipe, the protection mechanism comprises a pressing plate installed at the bottom end of the welding main pipe, a filtering assembly is arranged in the pressing plate, and the filtering assembly comprises a box body installed in the pressing plate. Welding defects caused by water or impurities are effectively prevented, gas in a welding area can be effectively exhausted, air holes generated in the welding seam repairing process are reduced, the compactness and strength of a welding seam are improved, and the reliability and durability of a welding joint are ensured.

The invention discloses an intelligent fund analysis system for a specific gang behavior of a block chain, and relates to the technical field of block chains, and the system comprises a data collection unit which is used for obtaining data points based on data on all nodes of the block chain; the data fusion unit is used for obtaining first data based on the data points; the label unit is used for obtaining second data based on the label system and the first data; the address anomaly analysis unit is used for obtaining transaction data based on the second data and judging whether the to-be-identified address has a specific gang behavior based on the transaction data; the graph analysis unit is used for constructing a fund flow graph, extracting graph features of the fund flow graph and obtaining key data based on the graph features; the comprehensive analysis unit is used for pre-warning potential risk behaviors based on graph features; and the result unit is used for obtaining an analysis result. The problems that in the prior art, specific gang behavior fund flow based on the block chain cannot be accurately identified and predicted, and block chain characteristics and constantly changing supervision requirements cannot be adapted can be solved.

The invention relates to a spray dust fall accurate control method for coal face dust source tracking, and belongs to the field of coal face spray dust fall control of coal mines. By arranging a wind speed and wind direction sensor, a laser displacement sensor and a roadway dust concentration sensor, the wind speed and wind direction of a working face, the position of a coal mining machine and the dust concentration are monitored in real time, and opening and closing of a spraying set and adjustment of spraying pressure are automatically controlled according to preset control logic; and accurate tracking and efficient dust falling of the dust source of the coal face are realized. According to the dust production characteristics of downwind coal cutting and upwind coal cutting, an accurate control strategy is adopted, and the dust falling effect is effectively improved; according to the dust concentration value fed back after spraying, the spraying pressure is intelligently adjusted, the dust falling effect is guaranteed, and meanwhile waste of water and electric energy is reduced; and when the condition of against-wind coal cutting is treated, all the spraying groups are started, so that the working face is fully covered, and the dust falling effect is effectively improved.

According to the multi-gesture interaction method and system based on the human-computer interaction technology, a user wears a head-mounted display, gesture actions of the user are captured through a camera or a depth sensor of the head-mounted display, and the captured gesture actions are analyzed into interaction instructions; and the head-mounted display sends the interaction instruction to the equipment, and the equipment identifies the interaction instruction and executes corresponding operation on the model according to the interaction instruction. Through multi-gesture recognition and interaction control, all-around functions of model grabbing, rotating, zooming, disassembling, resetting and menu management are achieved. The method is smooth in operation and easy to use, and supports seamless switching of various scenes. Through the compatibility with the head-mounted display device and various input devices, the user can freely control the virtual content in a single-person or multi-person cooperation mode, and the interaction efficiency and immersion are improved.

The invention provides a mass simulation model cluster automatic generation method based on system architecture reproduction, component generalization and parameter variation, and relates to the field of system simulation model cluster automatic generation methods. The method for automatically generating the mass simulation model clusters based on system architecture reproduction, component generalization and parameter variation is provided. According to the invention, the design space can be covered in the aspects of technical state combination coverage and simulation precision; the massive simulation model cluster automatic generation method based on system architecture reproduction, component generalization and parameter variation comprises five implementation steps of architecture derivation, architecture verification, component derivation, parameter derivation and formation of a large-scale system simulation model set capable of covering a design space. The model generation efficiency is greatly improved, massive system simulation model clusters covering the design space can be quickly formed, and a large amount of manual modeling time and energy are saved.

The invention belongs to the field of artificial intelligence and the field of financial science and technology, and relates to an intention recognition method and device based on artificial intelligence, computer equipment and a storage medium. Cleaning the query text to obtain a target text; matching the target text based on a matching module to obtain a matching result; if the content of the matching result is matching failure, calling a semantic model to predict the target text to obtain a first-level label prediction result; performing classification processing on the first-level label prediction result based on a semantic model to obtain a second-level label prediction result; calling a target post-processing rule to match the second-level label prediction result to obtain a rule matching result; and adjusting the second-level label prediction result based on the rule matching result to obtain a target intention recognition result. In addition, the target intention recognition result can be stored in the block chain. Based on the use of the matching module and the semantic model, the intention recognition accuracy is effectively improved.

The invention relates to the technical field of polar region ships, in particular to an icebreaker bow strength dynamic evaluation method based on regression analysis. According to the method, corresponding simulation databases are constructed on the basis of three ice condition scenes, the structural stress response extreme value and the measuring point stress extreme value of the icebreaker bow are set as safety evaluation and early warning indexes, and on the basis of simulation data of the icebreaker bow stress response, the safety evaluation and early warning of the icebreaker bow stress response are achieved. A regression analysis method is applied to optimization of a simulation fitting model, polynomial fitting optimization is carried out on a structural stress response extreme value and a measuring point stress extreme value, the fitting precision and effectiveness are greatly improved, an optimal polynomial mapping model of the structural stress response extreme value and the measuring point stress extreme value is obtained, and the structural stress response extreme value and the measuring point stress extreme value are optimized. Safety evaluation and early warning can be carried out more quickly, and the safety and high efficiency of the icebreaker working in the ice area are ensured.

The utility model provides a satellite antenna structure and a satellite communication device, and relates to the technical field of satellite communication. The satellite antenna structure provided by the utility model comprises a plurality of antenna array surfaces, the angles of the plurality of antenna array surfaces are different, and the plurality of antenna array surfaces can work independently; each antenna array surface is used for forming a beam coverage area; according to the invention, the corresponding wave beam coverage areas are respectively formed at different angles through the plurality of antenna array planes, so that the whole airspace is correspondingly divided into the plurality of sub airspaces, the coverage of the whole airspace is realized, the scanning range is improved, the angle required by each antenna array plane during scanning is reduced, the scanning loss generated during large-angle scanning is reduced, and the scanning efficiency is improved. The antenna gain is improved; and secondly, the plurality of antenna array surfaces can independently work to generate wave beams, so that the satellite antenna structure can generate a plurality of wave beams at the same time, thereby obtaining a wider wave beam coverage range at the same time, and improving the scanning efficiency.

An optical sensor for deep space cosmic dust in-situ detection comprises a system shell, a spherical cylindrical lens, a total reflection mirror, a diaphragm, a Powell prism and a semiconductor laser are installed in the system shell, and a laser shaping and collimating module is formed by the Powell prism and the semiconductor laser. A scattered light acquisition and photoelectric conversion module is formed by the Wetton cone array, the photodiode, the signal processing terminal and the band-pass filter, and a laser trap is arranged in front of the detection light curtain emitted from the spherical cylindrical lens; when dust particles entering the sensor from the opening of the shell penetrate through the detection sensitive area, scattered light is generated under laser irradiation, the scattered light passes through the band-pass filter and then is collected and converged by the Wetton cone, and then the scattered light is converted into an electric signal with certain intensity by the photodiode; after the electric signal is amplified and processed by the signal processing terminal, relevant information such as particle size of the particles can be inverted; the method has the advantages of non-contact, no damage to particle dynamic characteristics, large detection area, no additional external bias voltage, high detection precision and the like.

The invention discloses a key area intelligent monitoring system based on communication towers, and relates to the field of communication technology, IoT and intelligent monitoring, and the key area intelligent monitoring system is characterized in that each communication tower is provided with a front-end sensing layer; the front-end sensing layer is used for acquiring sensor data of a key area and preprocessing the sensor data to generate preprocessed data; the channel transmission layer is used for transmitting the preprocessed data to the data processing and analyzing layer; the data processing and analysis layer is used for generating a self-adaptive abnormal behavior recognition model based on a machine learning model library, processing the preprocessed data according to the self-adaptive abnormal behavior recognition model, analyzing abnormal behaviors and generating a data analysis result; the application service layer is used for transmitting the data analysis result to the mobile terminal and formulating an early warning strategy according to abnormal behaviors in different scenes; the early warning strategy comprises an early warning threshold value and a response rule. According to the invention, comprehensive coverage of a monitoring area, rapid monitoring response and timely data processing can be realized.

The utility model relates to the field of disposable hygienic product equipment, in particular to a novel composite absorption core forming device which comprises a first forming device, a second forming device and a winding device for a composite absorption core, a fluffy cotton input mechanism used for conveying fluffy cotton, a first non-woven fabric input mechanism used for conveying first non-woven fabric and a second non-woven fabric input mechanism used for conveying second non-woven fabric are arranged on one side of the first forming device. A separating mechanism used for separating the first non-woven fabric from the fluffy cotton is arranged between the first forming die wheel and the second forming die wheel, and the separating mechanism separates the first non-woven fabric and the primary composite fabric. The technical problems that in the prior art, when macromolecules are added to the composite non-woven fabric, working efficiency is low, and stability is poor are solved.

The invention discloses an intelligent automatic watering robot system and an automatic water drying control method thereof, and aims to solve the problem of inconvenience in plant irrigation in existing family garden nursing. The system is composed of a watering robot and a base, wherein the watering robot comprises a machine body cabin, a water storage tank, an energy storage module and a control unit. A water drying module is arranged in the machine body cabin, various spraying modes can be switched according to different plant requirements, and uniform irrigation is ensured. In order to realize efficient path planning and obstacle avoidance, the sprinkling robot is equipped with a radar module, and sensors monitor the surrounding environment in real time and feed data back to the control unit. And obstacles are avoided while the whole garden area is covered. When the water amount in the water storage tank is lower than a preset threshold value, the control unit triggers low-water-level alarm and guides the watering robot to return to the base for water supplementing and charging.

The embodiment of the invention discloses a potential risk data screening method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining risk data and potential risk data, the risk data being data monitored by a risk monitoring system, and the potential risk data being data not included in the monitoring range of the risk monitoring system; inputting the risk data and the potential risk data into a pre-trained risk prediction model, and calculating a plurality of similarity matrixes through a plurality of association prediction algorithms in the risk prediction model, the similarity matrixes being used for representing a potential association relationship between the risk data and the potential risk data; weighting the plurality of similarity matrixes based on the target weighted value to obtain a comprehensive similarity matrix; and according to the comprehensive similarity matrix, target potential risk data is screened out from the potential risk data, and the target potential risk data is data having an association relationship with the risk data.

The invention discloses an intelligent identification and evaluation system and method for detecting surface magnetic powder defects, and relates to the technical field of image processing. The technical problems that in the prior art, traditional magnetic powder detection depends on manual visual inspection, subjectivity is large, efficiency is low, fatigue is prone to occurring, and the detection result is large in uncertainty and subjectivity due to the fact that the traditional magnetic powder detection is affected by the state, vision and experience of operators are solved. According to the technical scheme provided by the invention, the intelligent identification and evaluation system for detecting the surface magnetic powder defect comprises a module for acquiring a digital image of a detection area; the module is used for preprocessing the digital image; a module for identifying potential defects in the preprocessed digital image; a module for identifying the position of the identified defect; and when the defect reaches a preset alarm condition, an alarm module is triggered. The device is suitable for detection of surface magnetic powder defects.

The invention discloses a TEC distribution reconstruction method and device based on a diffusion model, and the method comprises the steps: preprocessing TEC data, constructing a diffusion model, inputting the TEC data into the diffusion model, and carrying out the forward diffusion and reverse denoising training; after training is completed, random noise is input into a diffusion model for reverse denoising to obtain an unknown area image, TEC observation data with missing are input into the diffusion model for forward diffusion, random noise is added to obtain a known area image, and the unknown area image and the known area image are combined to obtain a first intermediate image; and inputting the first intermediate image and the missing TEC observation data into the diffusion model, performing forward diffusion and reverse denoising again, circularly combining the unknown region image and the known region image, and performing iteration for limited times to obtain TEC reconstruction data. According to the method, the TEC data coverage rate is increased, full coverage in the global range is achieved, the TEC data generation precision and reliability are improved, and TEC distribution is accurately reconstructed.

The present invention relates to the technical field of smart street lamps, and specifically to a smart street lamp that can be used as a transfer station for unmanned aerial vehicles, including a lamp pole, a support rod fixedly installed at one end of the lamp pole, a smart lamp board arranged at the end of the support rod away from the lamp pole, and a lamp pole plug-in shell fixedly installed on the inner side wall of one end of the lamp pole located at the support rod. Compared with the prior art, the present application provides a flip assembly and a connection assembly, so that the unmanned aerial vehicle can automatically perform all-round cleaning after parking. The drive of the servo motor causes the supporting gear ring to rotate around the unmanned aerial vehicle and rotate on its own. At the same time, combined with the meshing of the transmission bevel gear disc and the fixed bevel gear disc, the outer surface of the unmanned aerial vehicle is fully covered and cleaned, and the cleaning efficiency is improved. At the same time, when the unmanned aerial vehicle takes off, the drive of the servo motor and the collision of the supporting gear ring with the connecting plate cause the lamp pole parking cover and the cover plate to shake, effectively shaking off the dust and debris on the outer wall, and driving away the surrounding flocks of birds, ensuring the safety of the unmanned aerial vehicle when taking off.

The utility model discloses eddy current flaw detection equipment capable of fully covering a working surface of a steel rail, relates to steel rail flaw detection equipment in the technical field of steel rail detection, and aims to solve the problems of low detection precision, low rail surface coverage rate, heavy equipment and the like of flaw detection equipment in the prior art. The equipment comprises a flaw detection trolley mounted on a track, wherein walking wheels, limiting wheels and a plurality of probe assemblies are arranged at the bottom of the flaw detection trolley; the probe assembly comprises a probe support, positioning wheels are arranged at the front and rear ends of the probe support, and an eddy current probe is arranged at the bottom of the probe support. A connecting rod is hinged to the probe support through a first movable joint, and a mounting seat is hinged to the other end of the connecting rod through a second movable joint and mounted on the flaw detection trolley. The probe support adopts a two-dimensional floating design and can automatically follow and adapt to the shape change of the steel rail, and the gap between the probe and the rail surface is kept constant in the advancing process of the trolley, so that the stability of signal acquisition is ensured, and the detection precision is improved.

The utility model relates to the technical field of troweling machines, and discloses a civil engineering concrete troweling machine which comprises a machining disc and a driving motor arranged at the top of the machining disc, a control handrail is installed on one side of the top of the machining disc, a net cover is connected to the bottom of the machining disc, a detachable rotating base is arranged at the bottom of the machining disc, and the rotating base is provided with a rotating shaft. A circle of detachable wiping sheet scraping plate is arranged on the periphery of the rotating base, and a limiting rod assembly capable of sliding up and down is arranged between the rotating base and the wiping sheet scraping plate; according to the concrete troweling device, the hexagonal rotating disc is matched with the multiple groups of troweling sheet scraping plates, so that comprehensive and uniform troweling on the surface of concrete is realized, and the troweling uniformity is remarkably improved. And secondly, the adjustable design of the angle of the scraper plate body allows a user to adjust the angle of the scraper plate body according to different construction conditions, and the adaptability is enhanced. And finally, due to the detachable structure of the rotating base, the equipment maintenance and part replacement processes are simplified, and the use efficiency is improved.

The invention relates to the technical field of underwater robot formation, in particular to an underwater unmanned underwater vehicle cluster defense confrontation method, which utilizes an underwater unmanned cluster to make up the defect of insufficient functions of a single platform by means of the number advantage, and aggregates various underwater platforms with different functions to form a common body capable of completing a given task together; a traditional expensive large manned platform is replaced by a large number of small-size low-cost distributed unmanned platforms, and the distributed unmanned platform has the advantages of being high in efficiency, low in cost, reconfigurable and capable of executing multiple tasks, is used for underwater defense and resistance, and can greatly increase the underwater reconnaissance search range and improve the response speed and the confrontation effect.

The invention discloses a system and a method for detecting personnel intrusion based on multi-camera view crossing, and relates to the technical field of workshop safety environment monitoring, a visual perception module comprises a plurality of image acquisition devices arranged in a workshop, and realizes comprehensive coverage of pedestrian road occupying positions in the workshop; the personnel intrusion detection algorithm module carries out real-time processing on image information transmitted by the visual perception module, realizes identification and prediction on intrusion behaviors of personnel in a workshop, transmits an output prediction target to the alarm and response module, and carries out online alarm immediately through the switching value wireless unvarnished transmission module when the intrusion behaviors exist. An alarm signal is transmitted to the integration and control module so as to control emergency stop of the truss; the integration and control module is used for being responsible for overall integration and configuration work of the system. The system has the advantages of high recognition precision, complete view scene coverage, online alarm and the like, and provides powerful guarantee for safe production of workshops.

The invention discloses a marine main engine cabin entering simulation method and system based on multi-view measurement. The method comprises the following steps: acquiring cabin space depth image information through multiple view angles, constructing cabin environment three-dimensional point cloud data, and unifying multi-view angle point clouds to the same global coordinate system based on camera calibration; performing accurate fusion on the multi-view point clouds by adopting a point cloud registration algorithm which introduces a dynamic weight and a local rejection mechanism, and extracting a boundary of an effective space of a cabin by utilizing an alpha-shape algorithm; motion trail modeling is carried out on the main engine cabin entering process, meanwhile, rapid real-time calculation of the minimum gap between a main engine envelope body and a cabin boundary is achieved by constructing a gridding distance field of a cabin space, and therefore whether the risk of collision or insufficient space exists in a given cabin entering path of a main engine or not is judged. According to the invention, high-precision, high-efficiency and high-real-time host entry space verification can be realized in a complex and narrow in-cabin environment, and reliable technical support can be provided for optimization and decision-making of a marine host entry scheme.

The invention discloses a disabled training support evaluation system, and relates to the technical field of disabled training, and the system comprises a multi-dimensional evaluation module, a quantitative evaluation module, a qualitative evaluation module, and a visual report module. According to the system, a multi-dimensional comprehensive evaluation system including knowledge mastering, skill application, learning attitude and emotion development is constructed, the learning effect of the disabled students is comprehensively covered, and the multi-dimensional evaluation not only pays attention to the knowledge and skill levels of the students, but also deeply investigates the learning attitude and emotion development conditions of the students, so that the learning efficiency of the disabled students is improved. Therefore, one-sidedness possibly brought by single-dimension evaluation is avoided, meanwhile, the system adopts a qualitative and quantitative combined mode, interference of subjective judgment is reduced, objectivity and accuracy of evaluation results are ensured, the comprehensive and objective evaluation system provides more accurate and reliable feedback for trainees and trainees, and the training efficiency is improved. And the two parties can better understand the learning progress.

The invention relates to the technical field of sensitive information system security monitoring, in particular to an AI-based sensitive information system security situation intelligent monitoring method, which comprises the following steps of: determining a network operation evaluation value by monitoring a throughput smooth value, a delay fluctuation value and an abnormal flow value of a network layer; a user behavior evaluation value is determined by monitoring a behavior influence value of a user layer, an external environment evaluation value is determined by monitoring a vulnerability fluctuation value and an attack intensity value of an external layer, a security value of a system is determined by integrating the evaluation values of the three layers, then security value data of a time sequence is extracted, a security trend coefficient is calculated and compared with a threshold value, and the security trend coefficient is calculated. The method comprises the following steps: detecting safety abnormity, if abnormity is detected, calling related safety state parameters, calculating a trend coefficient, comparing the trend coefficient with a corresponding abnormity contrast interval, and generating an early warning signal, so that intelligent real-time monitoring and early warning of the safety situation of the sensitive information system are realized, and the safety and stability of the system are improved.

The invention relates to the technical field of automatic machining, and particularly provides a screw locking detection method and device. The screw locking detection method comprises the steps of obtaining a locking parameter set in a screw locking process, performing feature extraction on the locking parameter set to obtain locking features corresponding to each locking stage included in the screw locking process, and determining a locking detection result corresponding to the screw locking process according to the locking features of each locking stage. In the embodiment of the invention, the screw locking effect can be detected in real time in the screw locking process of the automatic screw locking machine, the coverage of the whole screw locking process is realized, and compared with a manual mode, the detection efficiency and reliability are improved, the detection cost is reduced, and the detection efficiency is improved. And the locking detection result is obtained through the divided locking characteristics of the plurality of locking stages, so that the detection accuracy of the screw locking effect is improved.