84results about How to "Improve recovery effect" patented technology

The invention discloses an industrial firewall isolation method of a DCS (Distributed Control System). The objective of the invention is to solve the problem that existing industrial network security protection has defects for a DCS system. According to the method, firstly, DCS architecture analysis and risk assessment are carried out, and protection key points and data flow directions are accurately determined; then, a firewall strategy fitting the characteristics of each area (such as a core control unit, an operation station and an external network interface) is customized, and mechanisms such as multiple data encryption are covered; and then firewall deployment and configuration optimization are carried out to ensure protection continuity and rule timeliness. And abnormal conditions are timely handled through a real-time monitoring and dynamic adjustment mechanism, and system recovery under a security event is guaranteed through an emergency response and backup recovery mechanism. And a regular safety drill and evaluation mechanism is arranged to continuously strengthen the protection capability. According to the method, the network security level of the DCS is comprehensively improved, stable and safe operation of industrial production is guaranteed, and the method has remarkable practical value.

The invention relates to the technical field of reverse osmosis membranes, in particular to a polyamide reverse osmosis membrane for high-salinity wastewater treatment and a preparation method of the polyamide reverse osmosis membrane. The invention solves the problem that the polyamide reverse osmosis membrane cannot give consideration to both desalination rate and water flux. The polyamide reverse osmosis membrane comprises a polyester non-woven fabric layer, a polysulfone porous layer, a transition layer and a polyamide layer. The polysulfone porous layer is prepared, and the modified pore-forming agent is added to improve the water flux of the reverse osmosis membrane; the hydrophilicity of the reverse osmosis membrane is improved by preparing the transition layer and adding a hydrophilic auxiliary agent when the polyamide layer is prepared; the flux attenuation rate of the polyamide reverse osmosis membrane is reduced by preparing the polyamide layer; the desalination rate of the reverse osmosis membrane is improved by introducing a composite ion complexing agent and graphene quantum dots into the polyamide layer.

The present invention relates to the technical field of ecological concrete slurry, and specifically to an ecological seed-carrying slurry for the slope of a mine dump, a preparation method and its application. Aiming at the special environmental characteristics of the Inner Mongolia mining area, the present invention prepares a new type of artificial aggregate containing growth domains and seeds, which is composed of a three-layer structure, each layer having a specific function, so as to achieve the purpose of promoting the germination of multi-source species, plant growth, providing nutrition and improving the soil environment. The slurry can not only effectively utilize solid waste and reduce costs, but also adopts in-situ point-type layered hole sowing to shorten the vegetation restoration cycle in the ecological restoration of the slope, greatly improve the survival rate of tree and shrub seed sources, reduce the number of watering times, save restoration costs, and reduce the workload of management. While effectively promoting vegetation restoration, it strengthens the stability of the slope, prevents soil and water loss, slows down runoff and consolidates the soil, providing an efficient and sustainable solution for the ecological restoration of green mines in Inner Mongolia.

The invention relates to a molecular marker which is located at the 47023718th basic group from the 5tail end on a No.16 chromosome of a pig reference genome Sscrofa11.1 and is related to a pig internal farrowing litter weight standard deviation. The invention describes a primer pair and a kit for detecting the molecular marker, and application of the primer pair and the kit in identifying the size of the standard deviation of the litter weight in the pig, screening pig varieties or genetic breeding of the pig. The pig internal litter weight standard deviation of the AA genotype individual is 2.79 kg, the pig internal litter weight standard deviation of the GG genotype individual is 4.38 kg, and the AA genotype individual is obviously smaller than the GG type individual, namely, the pig resilience of the AA genotype individual is higher than that of the GG individual. The AA type individuals are selected, and the pigs with small standard deviation of litter weight and high restoring force in the pigs can be obtained. According to the method, the problem of determining the pig resilience in actual production is effectively solved, the breeding cost is reduced, the pig internal litter weight standard deviation is effectively reduced, so that the pig resilience is improved, the method is high in accuracy and low in detection cost, automatic detection can be realized, and the method has very high practical application value in the aspect of pig breeding.

The invention provides a multi-level monitoring system suitable for a submarine optical cable. The multi-level monitoring system comprises a central monitoring system, a data acquisition terminal, an underwater robot, sonar equipment and an optical fiber sensor, wherein the central monitoring system comprises a master control platform and a power supply system, the data acquisition terminals are arranged at the starting point and the ending point of an optical cable line, the data acquisition terminals are connected with the central monitoring system in a high-broadband communication mode, and the data acquisition terminals receive data from the optical fiber sensors and send the data to the master control platform. The multiple optical fiber sensors are arranged on the whole optical cable line, the multiple sonar devices are arranged on the optical cable line, scanning data are transmitted to the central monitoring system at regular intervals, and the underwater robot conducts routing inspection along the line at regular intervals through a self-set routing inspection program. According to the invention, the safety and reliability of the optical cable system are obviously improved, the preventive maintenance process is optimized, the environmental adaptability is enhanced, the operation efficiency is improved, the operation cost is reduced, and the data safety is effectively guaranteed.

The invention provides a program crash processing method and device, equipment and a medium. The method comprises the steps that a protection engine is called; when an application program is started, the protection engine is initialized to monitor and capture crash information in the application program, and the crash information comprises abnormal stack information of flash quit of the application program; if the crash information of any application program is captured, processing of the crash information is interrupted according to the type of the abnormal stack information, so that the application program runs normally; the crash information of the application program is collected to generate the crash log, the crash log is uploaded to the server, transmission of the crash information is interrupted, normal operation of the application program is ensured, stability and reliability of the application program are enhanced, the flash quit problem caused by improper operation is reduced, and meanwhile the service life of the application program is prolonged. The debugging and repairing efficiency is improved; the flash quit of the application program is avoided, and the service recovery capability is also improved.

The invention discloses a lightweight social platform image restoration method and system based on dual-branch frequency and space fusion, and a readable storage medium. Comprising the following steps: constructing and training a lightweight social platform image restoration network model based on dual-branch frequency and space fusion; and inputting the low-quality image into a lightweight social platform image restoration network model based on double-branch frequency and space fusion for image restoration to obtain a high-quality image. According to the method, the image definition is remarkably improved, the training process is stabilized, and the robustness and the high efficiency of the model are enhanced.

The utility model discloses a modular bus duct structure resistant to lateral impact, which relates to the technical field of bus ducts and comprises two side support plates arranged in parallel, transverse connecting plates are arranged at the top end and the bottom end between the two side support plates, and the two transverse connecting plates are bent back and forth along the horizontal direction. The two transverse connecting plates are arranged oppositely, the top ends and the bottom ends of the conductive copper bars can be clamped at the bent positions formed by the two transverse connecting plates respectively, a gap is reserved between every two conductive copper bars while the transverse connecting plates are kept perpendicular, air can enter the conductive copper bars conveniently, heat dissipation of the conductive copper bars is facilitated, heat accumulation is reduced, and the service life of the conductive copper bars is prolonged. The insulating pads with the trapezoidal grooves can enhance the insulativity of the conductive copper bar on one hand, and the trapezoidal grooves are narrowed towards one side far away from the conductive copper bar, so that the fixing stability of the conductive copper bar can be enhanced, and the conductive copper bar is firmly clamped in the two vertically corresponding insulating pads.

The utility model relates to the technical field of corrugated paper boards, and discloses a pressure-resistant bending-resistant high-strength corrugated paper board, which comprises an upper-layer paper board, a middle-layer paper board, a lower-layer paper board and a corrugated paper core, and the upper-layer paper board and the lower-layer paper board are respectively positioned on the upper side and the lower side of the middle-layer paper board. The corrugated paper cores are arranged between the upper-layer paper board and the middle-layer paper board and between the middle-layer paper board and the lower-layer paper board; a plurality of pressure-resistant elastic strips which are uniformly distributed are arranged in wave gaps of the corrugated paper core; and anti-bending reinforcing ribs are arranged in the upper-layer paperboard and the lower-layer paperboard. The pressure-resistant elastic strips and the bending-resistant reinforcing ribs are additionally arranged in the corrugated board, so that the pressure-resistant and bending-resistant performance of the corrugated board is improved, the thickness of the corrugated board is not greatly changed, and the space utilization rate and the practicability are improved.

The invention relates to a data encryption transmission method and device with an early warning mechanism, and aims to improve the security and reliability of data transmission. According to the method, a plurality of encryption schemes with unique names are preset and stored at the front end and the rear end of a data transmission system. The front end randomly selects a set of encryption scheme according to security requirements, encrypts request data, sends the encrypted data and a unique name corresponding to the encrypted data to the rear end, and records necessary transmission indexes at the same time. And after receiving the data, the rear end performs decryption and re-encryption processing by using the same encryption scheme, and then sends a result back to the front end. And after receiving the data, the front end decrypts the data and verifies whether the data meets a preset transmission index. And if exceptions are found, such as decryption failure or data delay, the front end records and feeds back the exceptions to the rear end and stops data processing. According to the method, through random selection of an encryption scheme and a bidirectional verification mechanism, the security monitoring and exception handling capabilities in a data transmission process are enhanced.

This invention provides a rapid rewarming and circulatory support system for frostbite and hypothermia in high-altitude environments, relating to the field of treatment device technology. It includes: a first temperature acquisition module for acquiring and preprocessing the current first ambient temperature, the first frostbitten skin surface temperature, and a first skin surface image; a control module connected to the first temperature acquisition module for analyzing the preprocessed first ambient temperature, the first frostbitten skin surface temperature, and the first skin surface image to determine the corresponding first target temperature and a first target warming rate; and a temperature regulation module connected to the control module for gradually warming the skin to the optimal preset temperature according to the warming rate. This invention achieves dynamic temperature control, continuous protection, and intelligent decision-making for frostbite and hypothermia in high-altitude environments.

The invention discloses a quick-start compressed air energy storage system based on residual wind power absorption and a control method thereof. The system comprises a power divider, a lithium battery, a main compressor unit, at least one peak shaving compressor, a plurality of compression working medium flow valves, a plurality of air compressor interstage coolers, an air storage tank, a pressure regulating valve, a vortex tube, a distribution valve, a heat storage tank, a plurality of heat tank heat source supply flow valves, a cycle working medium flow valve, a turbine air inlet precooler, a turbine generator unit and an adsorption tower. An ORC power generation system and a power supply control and black start module; wherein the power supply control and black start module is used for executing corresponding control strategies according to various power grid operation data and wind power. The system can adaptively start the peak regulation compressor to absorb excess electric energy, and combines a hybrid frequency modulation architecture and a black start protocol, so that the system response speed, the energy storage density, the energy comprehensive utilization efficiency and the power grid supporting capability are remarkably improved, and efficient consumption and rapid peak regulation of wind power fluctuation are realized.

This invention discloses a specular removal method based on grouped enhanced convolutional attention feature fusion, belonging to the field of image processing technology. The method constructs a specular removal model based on a CycleGAN network, which consists of a generator, a discriminator, and a loss function optimization module. The generator includes detail enhancement depth downsampling, upsampling, and grouped enhanced convolutional attention fusion modules, effectively capturing image details, reducing checkerboard artifacts, and enhancing feature fusion and capture capabilities. The discriminator uses a PatchGAN structure to improve local detail capture capabilities. The optimized loss function integrates multiple losses to improve model performance. Experimental results show that compared with various traditional and deep learning methods, the method of this invention outperforms in PSNR and SSIM metrics, exhibits strong adaptability, and can provide high-quality image data for subsequent detection of elevator door components.

The embodiment of the invention discloses a soft switching-based power distribution network multi-transformer-area energy coordinated regulation and control method and device. The method comprises the following steps: acquiring power distribution network information and historical regulation and control data corresponding to a power distribution network to be regulated and controlled; determining a power distribution network coordinated regulation model corresponding to the power distribution network to be regulated based on the power distribution network information; determining reference regulation and control data corresponding to the power distribution network to be regulated and controlled based on the historical regulation and control data and a pre-trained prediction network model; and based on the reference regulation and control data and the power distribution network coordinated regulation and control model, determining a target regulation and control strategy corresponding to the to-be-regulated and controlled power distribution network. Through the technical scheme of the embodiment of the invention, the target regulation and control strategy can be accurately and conveniently determined, so that the flow of active power and reactive power is accurately controlled, the operation cost is reduced, and the risks of short circuit and the like caused by frequent switching actions are avoided.

The utility model relates to the technical field of medical instruments, in particular to a wound suture-free closer which comprises a pair of medical proof fabric, a connecting plate is inserted into each medical proof fabric, a mounting plate is connected to each connecting plate, an opening used for improving the softness of each connecting plate is formed in each connecting plate, and the connecting plates are connected to the mounting plates. The two mounting plates are jointly provided with a pulling assembly, and the pulling assembly is used for driving the two medical proof fabrics to get close to each other. According to the sewing-free closer, the softness of the connecting plate can be improved, so that the attaching effect of the medical adhesive tape and the skin surface is improved, and the using effect of the sewing-free closer is improved.

This invention discloses a smart construction site management method and system based on the Internet of Things (IoT), relating to the field of smart construction site environmental control technology. The method includes performing vector projection on the point cloud of the material storage area's surface to obtain the tangential wind speed components of the surface points, calculating the voxel center elevation difference of the three-dimensional point cloud, screening wind erosion active areas, uniformly dividing the wind erosion active areas into sub-zones, calculating the horizontal drift distance, predicting the landing center coordinates, and generating a predicted landing circle; calculating the fog cannon coverage circle, determining the spatial intersection of the predicted landing circle and the fog cannon coverage circle, calculating the fog cannon activation time in the control area, and sending the activation time to the fog cannon for execution. This invention improves the dynamic simulation capability of dust particle falling behavior by combining particle size distribution quantification with a settling velocity estimation model, and improves the accuracy of dust fall range prediction by calculating the horizontal drift of dust particles combined with a landing circle prediction model.

The application discloses a method and system for strengthening main grid elements considering renewable energy under extreme weather, and mainly relates to the technical field of renewable energy research. The method comprises the following steps: collecting an expected value of system loss load caused by extreme weather, and establishing a first objective function with the minimum expected value; modeling an operation mode of a main grid; establishing a linear programming model for calculating a worst probability distribution of uncertain variables; establishing a three-layer mixed integer linear programming model according to the first objective function and the modeling of the operation mode of the main grid; and solving the three-layer mixed integer linear programming model and the linear programming model of the worst probability distribution and outputting a result. The application has the beneficial effects of solving the problem of difficult information acquisition, reducing the difficulty of information provided by a power grid operator, and improving the efficiency of power transmission grid restoration.

The invention belongs to the technical field of ecological environment restoration, and particularly relates to an arid region gobi gravel curtain layer reconstruction method. Gobi in the arid region is subjected to earth surface leveling, gravel layer paving and saline pressing in sequence, and a gravel curtain layer is obtained. The gravel curtain layer earth surface reconstructed through the method has no obvious landscape difference with the surrounding natural gravel curtain layer earth surface, salt crust and gravel are tightly bonded together to form a hard soil protection layer, the earth surface can be effectively solidified, and soil wind erosion can be resisted.

The application discloses a kind of shell dental instrument automated production method and system, it is related to dental medical instrument automation production and industrial control technical field.The method takes merging object as control unit, and the production flow and output process of shell dental instrument from forming model to finished product are automatically organized, the identification mapping relationship across process is established, and combined with the classification forming under shared production path, identification coding, asynchronous buffer sorting and merging output control, the automated production of different forming demand shell dental instrument is realized.The present application can improve the traceability continuity in production process, reduce end sorting pressure.

The invention discloses a big data backup method based on a complex network environment, and particularly relates to the field of big data processing, and the method comprises the steps of S1, data backup feature information acquisition, S2, data backup information mining, S3, data standardization processing, S4, data backup effect analysis, S5, data backup effect judgment, and S6, judgment result screening. According to the method, the actual effect of the big data backup method can be accurately judged, so that a scientific decision basis is provided for the big data backup method, iterative optimization of the big data backup method is powerfully promoted, resource bottlenecks are found in time according to an evaluation result, and a backup strategy is specifically adjusted to improve the resource utilization rate; if potential risks exist in a data recovery link, a recovery mechanism can be rapidly improved to enhance the recovery capability, and the continuous optimization mechanism based on precise evaluation can significantly improve the overall efficiency of the big data backup method and ensure that the big data backup method always keeps efficient, stable and safe under the complex and changeable network environment and the mass data processing requirement.

The utility model relates to a kind of vehicle waterproof door hole sealing strip and vehicle, including sealing strip body, butyl rubber layer and double bubble tube sealing support structure, the butyl rubber layer is set to the sealing strip body for with the card joint part of vehicle body sheet metal stop opening installation, the double bubble tube sealing support structure is set to the sealing strip body for with the sealing lip edge part of door cooperation.The utility model has the beneficial effect that it realizes double dynamic sealing, improves waterproof reliability and enhances impact resistance and deformation resistance.

The invention discloses a home-based care health assessment dynamic service orchestration method and system based on a large language model, and the method comprises the steps: (1) receiving a natural language health assessment request inputted by a user, and generating a structured task description tetrad through a large language model; (2) the task description tetrad is combined with a Prompt template to be input into a large language model, and an abstract evaluation plan is generated; (3) finding out a candidate service list meeting conditions in the service semantic knowledge base according to the service type required by each step in the abstract evaluation plan, and dynamically binding each step to an optimal main agent service provider and an optimal standby agent service provider; (4) deeply participating in an agent cooperation mechanism through a large language model; and (5) converting the bound task assembly line into a standard BPMN workflow, and driving an intelligent agent to orderly execute services through a workflow engine. According to the invention, the big language model is deeply integrated into the whole process of agent collaboration, and real dynamic intelligent service orchestration is realized.

The present invention relates to the field of deep learning artificial intelligence technology, and in particular to a post-disaster restorative maintenance decision-making method based on deep reinforcement learning. A post-disaster restorative maintenance decision-making method based on deep reinforcement learning provides an efficient and intelligent solution for post-disaster restoration of large-scale distributed cluster systems through the combination of complex network models and deep reinforcement learning algorithms. After an extreme event, the method can dynamically adjust the repair strategies of multiple maintenance teams to minimize the elasticity loss in the system recovery process, thereby achieving rapid and efficient recovery of the system and ensuring that the cluster system can resume normal operation as soon as possible after a disaster.

The application discloses a color video restoration method based on a low-rank quaternion tensor and a space-time SVTV constraint, and comprises the following steps: acquiring a color video sequence to be restored, judging a video format and completing format analysis, converting YUV format into RGB format, constructing a corresponding pure quaternion tensor representation, and generating damaged video data; building a neural network parameterized low-rank quaternion tensor continuous function model, constructing a neural representation driven space-time SVTV regular term, and restraining a saturation gradient and a brightness gradient in different dimensions; fusing data consistency constraints and regular constraints, constructing a finite-dimensional solvable joint optimization model, and completing solvability verification; taking the damaged video as input, iteratively solving an optimal prediction tensor through a gradient descent algorithm or an Adam optimization algorithm, fusing a predicted pixel and an original known pixel, and outputting a complete restored video after data restoration and format adaptation. The application can realize high-precision, high-robustness and high-stability restoration of a missing area of a video, and is suitable for various video damage scenes.

The invention discloses a retina postoperative recovery device based on facial skeleton features and a control method, the recovery device comprises a chassis, a head tray arranged at the top of the chassis, and a height adjusting assembly arranged between the chassis and the head tray and used for adjusting the height of the head tray; the middle part of the head tray is a head area; personalized fitting is performed according to the facial skeleton features of the patient, and at least three facial skeleton feature points are selected for pressure monitoring, so that the head posture of the patient can be accurately positioned and adjusted, the change of the head posture of the patient can be automatically judged, and a corresponding correct posture prompt is output in combination with the pressure change; the patient is helped to correct bad postures in time, the patient is prevented from keeping the bad postures for a long time, the re-treatment risk caused by improper postures of the patient is reduced, and personal negligence of doctor's advice and self-adjustment of the patient is reduced, so that the postoperative safety of the patient is protected.

This invention proposes a neural network model enhancement and electronic device for small target defect detection in oilfield inspection images under complex field scenarios. It addresses the problems of severe feature degradation, scarcity of real samples, poor spatial localization ability, low anchor box matching degree, and limited computing power at the edge in small target defect detection in oilfield inspection images under complex field scenarios. This invention constructs synthetic and real datasets through dual-source data processing; performs four-fold super-resolution amplification of the input data through residual dense block concatenation and sub-pixel convolution, and introduces a generative adversarial network detail enhancement branch to generate super-resolution reconstructed images; extracts multi-scale basic features through a lightweight backbone; generates coordinate attention weights through global pooling of height and width dimensions to enhance the spatial features of small targets; inputs the enhanced feature map into a defect detection layer embedded with anchor boxes specific to small targets for classification and regression; and optimizes model training using a hard sample mining loss function.

The invention provides a cascade two-stage matching-based visual multi-target tracking method, which comprises the following steps of: acquiring a video sequence to be processed, and initializing an empty track set; the video sequence is a monocular monitoring video stream containing pedestrians, then processing a current frame of the video sequence, and outputting an interested target detection frame set; and dividing the target detection box set into a high-confidence detection box set and a low-confidence detection box set according to a confidence threshold, sequentially carrying out first-stage association and second-stage association, and finally, through track life cycle management, outputting all tracks whose life cycle states are survival as multi-target tracking results of a current frame. According to the invention, through the improved cascading matching strategy, the inactive trajectory participates in matching, the problems of trajectory fragmentation and information loss in a complex scene are effectively solved, and the tracking precision and robustness in a shielding environment are significantly improved.

The invention belongs to the technical field of oilfield chemistry, and relates to a gas reservoir crack mixed temporary plugging agent and a preparation method thereof. The temporary plugging agent is prepared from the following components in parts by mass: a water-soluble high-molecular polymer, heat-resistant starch, degradable fibers, a strength improver and water, the strength improver is montmorillonite powder wrapped by polyvinyl alcohol. The water-soluble high-molecular polymer is matched with the degradable fibers and the starch particles to be interwoven and connected to form a net-shaped structure, so that the pressure resistance is improved, and the temporary plugging effect is improved; according to the strength improving agent, montmorillonite powder wrapped by polyvinyl alcohol is added, in the process that the temporary plugging agent still flows downwards, the polyvinyl alcohol on the surface of the montmorillonite powder is melted along with decline and temperature rise, so that the montmorillonite powder leaks out and absorbs water again to swell, and the strength of the temporary plugging agent is improved. And montmorillonite powder wrapped by heat-resistant starch-degradable fiber-polyvinyl alcohol is cross-linked to form a rich three-dimensional system structure as a climbing skeleton, so that the temporary plugging agent can temporarily plug cracks at positions needing temporary plugging.

The utility model discloses a kind of upper limb joint protection brace for upper limb fracture combined with nerve injury, it is related to medical instrument technical field.Upper limb joint protection brace includes arm support assembly, sling, wrist support assembly;Sling is set on arm support assembly, and is hung on the torso of patient;Wrist support assembly is installed in the side of arm support assembly, and wrist support assembly includes fixed base, hand support, fixed base is connected with arm support assembly, and hand support is hinged connection with fixed base by hinging shaft, and hand support is used to lift the hand of patient;Limiting piece is equipped on fixed base, and limiting piece is used to limit the relative position of hand support and fixed base;Upper limb joint protection brace provided by the utility model provides lifting support to the arm and wrist joint of patient, and by the adjustment cooperation of hand support and fixed base, it is convenient to ensure that the wrist joint of patient is in suitable functional position angle, it is convenient to provide protection to the arm of patient while improving recovery effect.

The utility model discloses a mammary gland postoperative recovery device, which relates to the technical field of rehabilitation equipment and comprises a bed plate, two transmission plates are arranged outside the bed plate, an adjusting seat is fixedly mounted on the bottom surface of the bed plate, a first bearing is fixedly embedded in the inner side wall of the adjusting seat, a transmission lead screw is fixedly connected to the inner ring of the first bearing, and the transmission lead screw is fixedly connected to the outer ring of the first bearing. A driving motor is fixedly installed on the right side face of the adjusting seat, the output end of the driving motor is fixedly connected with the right end of a transmission lead screw, the outer surface of the transmission lead screw is in threaded connection with a transmission block, and the side faces, close to each other, of the two transmission plates are fixedly connected with the outer surface of the transmission block; the upper surfaces of the two transmission plates are jointly and fixedly connected with a supporting top plate, and two electric push rods are fixedly installed on the bottom face of the supporting top plate. The double-arm exerciser is reasonable in design structure, has the characteristic of assisting double arms of a patient in exercising, is more convenient during exercising, and improves the postoperative recovery effect of the patient.