395results about How to "Effective filtering" patented technology

The invention discloses a CVE-ATTamp (Cascade Vector Enhanced ATTamp) for a network security scene. The invention discloses a CK association fusion RAG construction method, and relates to the technical field of network security. The method comprises the following steps: (1) carrying out structured analysis and vectorization on CVE vulnerability information data, extracting features and fusing CVSS scores to carry out semantic embedding; (2) ATTamp; semantic modeling of a CK threat matrix is carried out, and a threat semantic space containing tactical level information is constructed; (3) heterogeneous knowledge association and graph construction: calculating cross-domain semantic similarity and establishing logic mapping between vulnerabilities and tactics in combination with expert rules to form a heterogeneous knowledge graph; and (4) attack logic-oriented RAG retrieval and generation: retrieving a key attack path sub-graph based on a hybrid scoring mechanism, and driving a large model to generate a security analysis report with logic depth. According to the method, attack logic is stored through mapping, so that the problems that the traditional RAG lacks inference ability and security data fragmentation are solved, and the accuracy and tactical value of automatic threat analysis are remarkably improved.

The invention discloses a scene perception information fusion decision-making method for industrial field multi-source heterogeneous data, which comprises an edge layer, a cloud layer and an interaction layer which form a three-level collaborative architecture, and belongs to the technical field of industrial field data processing. The method comprises the specific steps that S1, an edge layer collects industrial field multi-source heterogeneous original data and carries out self-adaptive preprocessing to obtain cleaned multi-source feature data; s2, the edge layer processes the multi-source feature data through a lightweight scene perception model, and outputs a preliminary scene judgment result; s3, the cloud layer constructs and updates a causal relationship graph based on industrial business knowledge and incremental data of the edge layer, processes data uploaded by the edge layer through a causal reasoning fusion model, outputs a decision result and issues the decision result through the interaction layer; and S4, the cloud layer optimizes parameters of the causal reasoning fusion model and the lightweight scene perception model based on a decision execution result fed back by the edge layer, and issues the optimized parameters to the edge layer through the interaction layer to realize dynamic iteration.

The invention belongs to the crossing field of artificial intelligence and barrier-free assistance technology, and particularly discloses a sign language translation method and device based on a large language model.The method is applied to a terminal and comprises the steps that key points are extracted from sign language video frames; based on the coordinates, types and global indexes of the key points in the sign language video frames, obtaining fusion features through feature fusion; based on the fusion features corresponding to the sign language video frames in the frame window, time sequence modeling and classification are carried out, and a word prediction result of the frame window is obtained; a sliding window voting and deduplication mode is adopted, the candidate word sequence is preprocessed, a preprocessed word sequence is obtained, and the candidate word sequence is formed by connecting word prediction results of all frame windows in series according to a time sequence; based on the preprocessed word sequence, word error correction and statement generation are carried out by calling a large language model, and a sign language translation result is generated. According to the invention, sign language video translation can be realized for the terminal, and the accuracy and fluency of the translation result can be guaranteed.

The invention discloses a totem-pole PFC circuit control method and device based on an improved SOGI-PLL, and belongs to the technical field of totem-pole PFC circuits, and the method comprises the steps: collecting the input voltage, input current and bus voltage of a totem-pole PFC circuit; synchronous phase information of the power grid voltage is obtained through an improved second-order generalized integral phase-locked loop; generating a current amplitude reference signal, and combining the current amplitude reference signal with the synchronous phase information to synthesize a current reference signal; generating a pulse width modulation signal for controlling a high-frequency switching tube; and a switching signal of the power frequency switching tube is generated based on the synchronous phase information, and the power frequency switching tube and the high-frequency switching tube are driven in combination with the pulse width modulation signal, so that the action time sequence is synchronous with the phase of the power grid voltage, and therefore, waveform tracking of the input current is realized, and current distortion at the zero crossing point is suppressed. Precise phase synchronization is realized based on the improved SOGI-PLL, totem pole PFC zero-crossing current distortion is effectively suppressed, and the power factor and waveform quality are improved.

The application discloses a kind of based on big language model and ability atlas's wisdom pastor authentication examination method and system, belong to artificial intelligence technical field.The application first constructs the ability atlas based on knowledge, skill, behavior three-dimensional ontology model;Obtain examinee multimodal data and generate initial ability vector;Through double-path dynamic gate graph neural network, real-time update ability vector, the network includes erase gate and increase gate and is updated by graph convolution layer propagation;According to ability short board, determine aggressive factor and combine incidental factor, use big language model to dynamically generate the next logical unique test question;Repeat interaction until the end of examination;Finally, according to all updated ability vector, generate digital ability portrait report.The application realizes dynamic individualized surveying and mapping, anti-cheating and deep characterization of talent ability structure, improves the precision and security of wisdom pastor authentication examination.

The invention discloses a rolling bearing fault detection method and system based on mechanism and data fusion, and relates to the technical field of equipment state monitoring and fault diagnosis, and the method comprises the steps: collecting a multi-source operation state signal and an operation condition parameter of a rolling bearing in real time; constructing and solving oscillatory differential equations under different fault types based on the signals and the parameters in combination with a rolling bearing dynamical model, and generating a mechanism feature library; denoising vibration signals in the multi-source operation state signals, and performing data reconstruction on the denoised vibration signals based on a gamma hybrid model; generating a high-dimensional data feature set according to the reconstructed vibration signal, and performing dimension reduction on the high-dimensional data feature set by adopting a matrix t-SNE algorithm to obtain low-dimensional data features; constructing a joint feature set according to the low-dimensional data features and the mechanism features, and calculating a health index; and the severity and position of the fault are judged based on the joint feature set and the health index, so that the precise detection requirement of the early-stage tiny fault of the rolling bearing under the complex working condition can be met.

The utility model provides a sand blasting device for imitating a sand beach in a water park, which can effectively filter large-particle substances in mortar and periodically scrape and clean a filter piece through a scraper blade to ensure the filtering effect of the filter piece, and comprises a containing cavity and at least one first discharge hole, the filtering piece is arranged at the end, located in the containing cavity, of the first discharging opening and used for filtering large-particle matter in mortar; and the scraping plate is matched with the filtering piece and is used for scraping the surface of the filtering piece.

The application provides a reduction tail gas filtering system and a dust collecting device, and relates to the technical field of chemical production. The reduction tail gas filtering system comprises a sealing part, a first through hole is arranged at the top of the outer side of the sealing part, the sealing part is connected with a dust separation device through a first pipeline, the dust separation device is connected with a filtering device through a second pipeline, and the positions of the dust separation device and the filtering device are higher than the position of the sealing part; a dust bag is arranged in the sealing part, the dust bag comprises gas phase hot silane and silicon powder, the silicon powder comprises first type silicon powder, second type silicon powder and third type silicon powder; the dust separation device is used for separating the gas phase hot silane and the third type silicon powder in the first mixture from the first mixture and conveying them to the filtering device; and the filtering device is used for separating the gas phase hot silane and the third type silicon powder. The application can provide a closed reduction tail gas filtering system for the secondary collection stage of silicon powder and prevent coarse particle dust from accumulating.

The invention discloses a segmented transmission method based on verification message delay feedback, which belongs to the technical field of data transmission, and comprises the following steps: setting message segmentation bytes, splitting a data packet to be transmitted into message segments, configuring verification sub-messages for the message segments, and encrypting the verification sub-messages; sending the encrypted verification sub-message, synchronously starting a timer, transmitting the verification sub-message in batches in combination with batch limitation, and performing link detection to judge whether the verification transmission is overtime or not; if the verification transmission is not overtime, obtaining effective transmission delay, otherwise, performing verification retransmission based on a backoff retransmission interval; calculating an optimal sending time interval by using a particle swarm algorithm, and setting an interval updating trigger mechanism; sending the encrypted message segments in sequence based on the optimal sending time interval, judging whether the message transmission is overtime or not in combination with the state of a timer, and performing overtime supplementary transmission; after the to-be-transmitted data packet is sent, decryption is carried out, meanwhile, the session key state is monitored, and life cycle management is carried out.

The present application belongs to the technical field of electrocardiosignal data processing, and discloses an electrocardio rhythm feature recognition data processing method, system, medium and program product, which comprises double verification of heartbeat quantity and ventricular premature beat proportion on acquired electrocardio feature data; generation of an instantaneous heart rate sequence, dynamic determination of a total number of bins and a heart rate step, mapping to obtain a symbol array and constructing a word sequence; calculation of Shannon information entropy and P wave disappearance probability; determination of a Shannon information entropy threshold and a P wave disappearance probability threshold, combined feature joint classification matching of the Shannon information entropy and the P wave disappearance probability, and output of a final electrocardio rhythm feature classification label result. The present application solves the problems of insufficient anti-interference ability and dependence on long-range signals in electrocardio data processing of portable devices, and realizes accurate identification of target irregular electrocardio rhythm features in complex environments without long-range signals on the basis of retaining the portability of the devices, thereby better adapting to instant data screening scenes of various terminal devices.

The application relates to a vehicle underbody living body detection method, a computer program product, an electronic device and a vehicle. The detection method comprises the following steps: taking a vehicle underbody image as a reference image when the vehicle is powered off; determining a real-time image with a difference region as a to-be-detected image based on the reference image and the real-time image of the vehicle underbody; determining feature detection information of the to-be-detected image, and realizing identification of a vehicle underbody living body and / or determination of a vehicle underbody living body state based on the feature detection information. Based on this, the application can improve the pertinence and efficiency of vehicle underbody detection, and guarantee the accuracy and effectiveness of vehicle underbody living body detection results.

The invention discloses a cleaning method and device, a cleaning robot and a readable storage medium, and the method comprises the steps: obtaining a single-frame image, carrying out the recognition of the single-frame image based on a preset deep learning algorithm, and obtaining an initial behavior recognition result; based on a multi-frame image fusion judgment strategy, performing fusion judgment on the initial behavior recognition result corresponding to each single-frame image to obtain a first behavior recognition result; if the first behavior recognition result is abnormal recognition, accumulating each single-frame image, performing time sequence behavior recognition on multiple frames of images obtained by accumulation according to a time sequence behavior recognition algorithm, and determining a second behavior recognition result; determining a target behavior recognition result based on the first behavior recognition result and the second behavior recognition result; the target behavior recognition result is used for determining a target cleaning strategy so as to perform cleaning processing. By adopting the method, the cleaning efficiency is improved.

The utility model discloses a kind of unpowered fan with dust removal function, belong to unpowered fan technical field, including mounting plate and unpowered fan, the top surface of the mounting plate is fixedly connected with air inlet tube, the top surface of the air inlet tube is fixedly connected with fixed disc with the lower end of unpowered fan, two arc holes are symmetrically provided on the side of the air inlet tube, the inside of the arc hole is clamped with arc block, the inner wall of the arc block is fixedly connected with circular ring, annular groove is provided in the inner wall of the air inlet tube, and annular groove is connected with arc hole, the circular ring is slidably extended to the inside of annular groove, the inside of the circular ring is fixedly connected with dust removal net, the dust removal net is slidably extended to the inside of air inlet tube. Compared with prior art, the device can effectively filter dust in the air sucked by the unpowered fan, thereby preventing pollution in the factory building or greenhouse.

This utility model discloses a highway bridge with convenient drainage, comprising a beam body and concrete and asphalt layers arranged sequentially from bottom to top on the beam body. Drainage ditches are provided on both sides of the beam body, with a filter layer at the top of the drainage ditches. A water collection trough of a certain height is reserved above the filter layer. Multiple drainage holes are spaced along the length of the bridge on the filter layer, with filter plugs inside the drainage holes. A drain pipe is provided at the bottom of the drainage holes, with the outlet of the drain pipe extending to the pier foot and connecting to a collection pool. This utility model has a simple structure, high ease of construction, short construction period, and low construction cost. It ensures good drainage effect and is very easy to clean, greatly reducing cleaning costs. The addition of a rainwater collection pool at the pier foot of the highway bridge enables rainwater recycling, which is environmentally friendly and prevents foundation corrosion at the pier foot, thus improving the service life of the bridge.

The utility model discloses a low temperature wire rod anti -brittle drawing equipment, it includes support plate, one end fixedly connected with support block on the support plate upper surface, the inboard swing joint of support block has the second guide roller, the first fixed block is fixedly connected with one side of support plate upper surface close to support block, the cleaning mechanism is fixedly connected with one side of support plate upper surface close to the oil storage groove, the filter mechanism is fixedly connected with below cleaning mechanism, one side fixedly connected with water tank of cleaning mechanism, one side fixedly connected with flexible hose of water tank, one side fixedly connected with water pump of flexible hose. Through the above structure through the setting of flexible brush in the cleaning mechanism can effectively remove the impurity on the line body surface, thereby facilitating drawing, the filter mechanism can effectively filter the sewage after spraying dust fall in the cleaning mechanism, and the filtered sewage is discharged, preventing the pollution of the environment.

This utility model discloses a die-cutting device for conductive shielding SCF (Superficial Carbon Fiber) in mobile phones, relating to the technical field of die-cutting machine equipment. It includes a base, with drive wheel assemblies fixedly connected to both ends of the top of the base. A U-shaped support and a U-shaped worktable are fixedly connected to the top of the base. A first hydraulic rod is fixedly connected to the top of the U-shaped support. A high-frequency punching drive device is slidably connected between the inner walls of both ends of the U-shaped support. One end of the first hydraulic rod passes through the top of the U-shaped support and is fixedly connected to the top of the high-frequency punching drive device. The base provided by this utility model avoids material adhesion to the cutter head, which affects processing efficiency, while also preventing incomplete cutting due to uneven pressure. This solves the problems of material adhesion to the cutter head caused by electrostatic adsorption and uneven pressure, and incomplete cutting, that occur in traditional mobile phone SCF conductive shielding die-cutting devices.

This application relates to an event-driven method and computing device for recognizing revenue from intra-group transactions. The method includes: acquiring a transaction order and determining its type; if the transaction order is an intra-group transaction order, acquiring its triggering event; if the triggering event is a key business completion event, generating a cost recognition voucher for the purchaser of the transaction order and a revenue recognition voucher for the seller of the transaction order; wherein the key business completion event represents a business operation event indicating that the relevant performance obligations have been fulfilled. This achieves a fundamental shift from employee-based identification and triggering to system-based perception and response, improving the timeliness and accuracy of financial processing, thereby reducing operating costs and increasing processing efficiency.

The utility model discloses an automatic smoke purifying and collecting device for metal processing and welding, which comprises a machine body, and a decomposition bin, an adsorption bin and a filtering bin which are uniformly arranged in the machine body through partition plates, and further comprises a smoke collecting component, the smoke collecting assembly comprises an L-shaped pipeline installed on the top of the machine body through a connecting base and a smoke sucking cover arranged at the bottom of one end of the L-shaped pipeline through a telescopic corrugated pipe. The filter box is arranged in the filter bin and below the exhaust hood; the adsorption box is arranged in the adsorption bin below the filtering bin; and the catalysis box is arranged in the decomposition bin below the adsorption bin. Through the arrangement of the L-shaped pipeline and the smoke sucking cover in the smoke collecting assembly, smoke generated in the welding process can be effectively sucked in, and diffusion of the smoke in the working environment is avoided. The servo motor drives the L-shaped pipeline to rotate, and flexible adjustment of the smoke suction hood is achieved through meshing of the driving gear and the gear ring.

The utility model discloses a valve assembly, heat exchange device and air conditioner, valve assembly includes: valve island, the flow passage is defined in the valve island, and the valve island forms with the first interface, valve core interface and flow passage interface who communicate with flow passage, and valve core interface is located between the first interface and flow passage interface, expansion valve, expansion valve is installed in the valve core interface position, and expansion valve is communicated between the first interface and flow passage interface, filter assembly, filter assembly is located in the flow passage, and is located between the first interface and valve core interface, and filter assembly forms a plurality of filter holes, and a plurality of filter holes include a plurality of first filter holes and a plurality of second filter holes, and the equivalent diameter of first filter hole is different with the equivalent diameter of second filter hole. According to the valve assembly of the utility model, can effectively filter the refrigerant that flows through in flow passage, can realize the fractional filtration of the impurity in refrigerant, improves the filtering effect and filtering efficiency, can also reduce the flow resistance, guarantees that refrigerant passes through valve assembly normally smoothly.

The utility model belongs to the technical field of sewage discharge, and discloses a plant road rainwater discharge monitoring device which comprises a plurality of sewer wells distributed on the road surface of a plant road, a rainwater pipeline arranged underground, a drainage pipe communicated with a river, a water storage pond, a controller and a PH online detector. The rainwater pipeline is communicated with the water storage pond, a water outlet is formed in the lower portion of one side of the water storage pond and connected with a water drainage pipe, an electric valve used for controlling the water drainage amount is arranged at the position of the water outlet, a detection probe of the PH online detector is arranged at the bottom of the inner side of the water storage pond, and the PH online detector and the electric valve are both electrically connected with the controller. Rainwater in the water storage pond is monitored in real time through the PH online detector, the PH online detector and the electric valve are matched to control opening and closing of the electric valve, the safety of rainwater drainage can be effectively guaranteed through linkage of the PH online detector and the electric valve, the ecological environment of a river is prevented from being affected, and the environmental protection risk is reduced.

The present application relates to the technical field of optical fiber fault diagnosis, and particularly relates to an optical fiber line fault diagnosis remote positioning control system, comprising an optical fiber line management center, a deployment collection module, a marking and association module, an anomaly verification module, a section division module, an interval positioning module and an execution control module; the present application is a full-process closed-loop mechanism through collection-preprocessing-fault identification-anomaly verification, uses a fault identification model to preliminarily determine a fault type, uses a weighted matching algorithm to accurately verify an anomaly detection point, effectively filters false positives caused by parameter fluctuations, greatly improves the accuracy and reliability of fault identification, avoids the waste of invalid maintenance costs, simultaneously realizes accurate landing from "interval positioning" to "point positioning" in single anomaly detection point and multiple anomaly detection point scenarios, and realizes dynamic adjustment and verification of a repair scheme by monitoring the parameter compliance in a real-time repair process, thereby improving the intelligent level of operation and maintenance.

The utility model relates to the technical field of valves, in particular to a pilot control handle valve group for a high-pressure oil cylinder, which comprises a valve body and a filter mechanism, an oil inlet and an oil outlet are arranged on the surface of the valve body, the filter mechanism comprises a shell, one side of the shell is fixedly connected with the oil inlet, a square groove is arranged on the surface of the shell, and the valve body is fixedly connected with the square groove. And a notch is formed in the bottom of the square groove, and a fine filtering plate is inserted into the notch. The filtering mechanism is arranged on one side of the valve body, impurities in oil can be effectively filtered out, the cleanliness of the oil entering the valve body is improved, abrasion and blockage of the impurities to components in the valve body are avoided, the service life of the valve set is prolonged, the rotary knob is rotated to drive the screw to rotate in the fixing block, and the valve set is convenient to use. The screw rod rotates to drive the clamping block to move upwards, so that the fine filter plate can be unfixed, the fine filter plate can be conveniently disassembled and replaced, and the maintenance cost and difficulty are reduced.

The invention provides a three-dimensional oil mist filtering material and a preparation method thereof. The three-dimensional oil mist filtering material comprises at least one of a hydrophilic and oleophylic filtering material and a hydrophobic and oleophobic filtering material, and the hydrophilic and oleophylic filtering material comprises a first foam base material and a hydrophilic and oleophylic polymer attached to the surface of the first foam base material. The hydrophobic and oleophobic filtering material comprises a second foam base material and a hydrophobic and oleophobic polymer grafted on the surface of the second foam base material through hydroxyl. The three-dimensional oil mist filtering material can efficiently filter oil mist such as oil smoke and the like, and can be effectively applied to gas purification in oil-containing and high-humidity environments and the like; the foam is used as a base material, so that a multi-dimensional filtering effect can be realized, meanwhile, the foam has good stability, and large-scale preparation and application are favorably realized; the pressure drop of the two filtering materials in the oil mist filtering process can be effectively reduced, so that the oil mist filtering resistance is reduced, and the filtering efficiency is favorably improved.

The application discloses a kind of based on double filtering cooperation's remote sensing image scene classification method and system, in the method, for the problem that existing technology is difficult to give consideration to background noise suppression and key feature edge structure preservation when processing remote sensing image, a kind of double filtering cooperation optimization module is presented.The module in this paper introduces Gaussian filter smoothing channel to suppress unstructured high-frequency background noise, while introducing Gaussian Laplace edge enhancement channel to accurately capture and strengthen key geometric structure information such as feature contour;Through feature fusion, position coding, state space model and double activation gating mechanism, the multi-scale feature map is optimized and reconstructed to generate high signal-to-noise ratio and clear structure scene representation.The module is integrated into the remote sensing image scene classification model, and trained using focal loss, which can significantly improve the classification accuracy and robustness in complex texture interference scene.

The application discloses a text reading comprehension method and device based on article difference perception representation, a storage medium and an electronic equipment, belongs to the field of natural language processing and artificial intelligence, and aims to solve the technical problems of how to effectively utilize article information to improve the accuracy of answer selection and how to realize effective matching between a question and options, thereby improving the prediction accuracy of a text reading comprehension system, and adopts the technical scheme that: ① a text reading comprehension method based on article difference perception representation comprises the following modules: a pre-training embedding representation module, a feature filtering module, an article difference perception representation interaction module and a label prediction module. ② a text reading comprehension device based on article difference perception representation comprises a text reading comprehension data set acquisition unit, a text reading comprehension model construction unit and a text reading comprehension model training unit.

The application discloses a kind of based on selective distillation's incremental defect detection method and system, the method includes the following steps: constructing teacher model and student model, the teacher model and student model are based on the same defect detection network structure;Old defect category sample and label are input into teacher model for training, and the network parameter of well-trained is saved as the initialization weight of student model training;During the student model training process, different classification distillation, regression distillation and feature distillation strategies are executed to the output of teacher model and student model;Student model is trained under the condition of no old defect sample by three kinds of distillation strategies;The defect sample to be detected is input into the student model;The defect category and its position coordinates of the defect sample are output by student model.The application can guarantee old category detection performance while realizing rapid learning and high-precision detection of new defect category.

The present application relates to the technical field of hydrological test and tree ring analysis, and particularly relates to a flood event detection method and system based on tree ring density, X-ray micro-density scanning is performed on the core samples of multiple target trees in the riverbank flooding zone to obtain early and late wood density profiles, a maximum late wood density time sequence is subjected to a flood stress mechanism recognition constraint Bayesian variable point detection to output candidate event years, a within-ring density gradient curve is extracted for the candidate event years, a flood growing season time window is determined according to the relative position of the density peak within the ring, a common occurrence test is performed on the multiple target trees after the phenology synchronization calibration to filter local terrain interference, and a historical flood density anomaly chronology containing the occurrence year, the growing season time window and the event intensity grade is output, which provides a physical reconstruction basis for the flood frequency analysis of a mountainous basin in a period when instrument records are missing.

The filter device comprises a fixed barrel, a delivery pump and a filter cartridge, the input end of the delivery pump is fixedly installed at one end of a connecting pipe, the other end of the connecting pipe is fixedly installed in one side of the fixed barrel, and the output end of the delivery pump is fixedly installed at one end of a delivery pipe. And the other end of the conveying pipe is fixedly mounted in one side of the purifying tower. By arranging the filter cartridge, impurities in a liquid mixture can be effectively filtered before the liquid mixture enters the purifying tower, the rectification effect is prevented from being influenced, and the filter cartridge is provided with the notch, the rubber gasket, the fixed block, the limiting clamping groove, the connecting block, the sliding groove, the spring, the sliding block, the limiting clamping block, the shifting block, the handle and the like; the sealing cover can be installed and fixed through the connection of the sealing cover, the rubber gasket and the notch and the connection of the limiting clamping block and the limiting clamping groove, the sealing cover is convenient to disassemble and assemble through the arrangement of a handle, a shifting block and the like, and the operation is more labor-saving compared with the operation of screwing the sealing cover.

The present application relates to the technical field of attention mechanism, and discloses an interrogation psychological sensitive point detection method based on a timing attention mechanism, wherein a microphone signal is processed in a local time window through a short-time Fourier transform to generate a spatial covariance matrix time sequence under a symmetric positive definite manifold, and a relative displacement weighted kernel reflecting inter-frame time lag correlation is extracted from a timing attention model output; then, based on an affine invariant metric, a bisection vector is constructed to calculate a bisection cross-sectional curvature density to quantize the geometric inconsistency of the two; subsequently, the weighted kernel is adjusted by the index gate, the geometric aligned predicted spatial covariance matrix is obtained through cut space summation and exponential mapping, the actual and predicted matrix residuals are calculated by measuring the distance of the affine invariant metric, a single time sequence score is generated by energy proportion weighting, and finally, an adaptive threshold is constructed by using the median absolute deviation of the score and a threshold coefficient to screen sensitive moments that meet the conditions, thereby effectively improving the detection accuracy and scene adaptability.

The application discloses a kind of safety production video monitoring systems, specifically related to video monitoring system field, comprising: video data acquisition module, image analysis module, correction module, comprehensive evaluation module and dynamic adjustment module;Video data acquisition module real-time acquisition video data in production operation process, and upload to image analysis module;Image analysis module extracts the color feature of target, contour feature, motion feature, constructs risk feature matrix, and generates image error marker coefficient;Correction module is used to correct the image error marker coefficient and handle;Comprehensive evaluation module is used to carry out comprehensive evaluation to the image error marker coefficient after correction, generates evaluation adjustment coefficient;Dynamic adjustment module is used to carry out secondary correction to the image error marker coefficient according to the evaluation adjustment coefficient generated, the risk identification precision of the present application is significantly improved, reduces false alarm and miss rate, while enhancing the adaptability and reliability to different production scenes.