18 results about "Self adjustment" patented technology

The invention provides a log data-oriented system fault mining method, which belongs to the technical field of information, and comprises the following steps: collecting original log data of a system, and preprocessing original system logs, including analysis, key information extraction, vectorization and generation of a structured log event sequence; processing the log event sequence by adopting a two-stage model fusing anomaly detection and mode clustering so as to distinguish accidental anomaly and a real fault mode; and for each candidate fault mode cluster, analyzing a time sequence causal relationship between internal events, and positioning a root cause event according to the causal flow score of the node. The method has the advantages that dependence on artificial experience is reduced through full-process automatic modeling and analysis; according to the method, log analysis, feature extraction, anomaly detection and root cause positioning are all automatically completed by adopting a preset algorithm process, and the detection effect is maintained through self-adjustment of the model, so that the flexibility and sustainability of fault mining are improved.

The invention belongs to the field of flight personnel state monitoring, and discloses a meta-consciousness ability training method and system based on a neural biofeedback technology. The system can obtain neural activity data directly related to the distraction state in a real and continuous task situation, hysteresis and unreliability caused by dependence on subjective reports or behavioral expressions are avoided, and the accuracy and objectivity of distraction monitoring are improved from the source. The decoding model is embedded into a closed-loop neural feedback training system, so that an acoustic feedback signal can be triggered in time when a distraction state occurs, a trainee is prompted to perceive attention deviation, and the self consciousness state is autonomously regulated and controlled without external guidance. The closed-loop feedback can strengthen a conditioned reflex mechanism paying attention to a regression task, and the self-monitoring and self-adjusting capability of meta-awareness is remarkably improved.

The invention discloses a self-adaptive gas extraction accurate regulation and control system based on multi-source information fusion, and the system improves the extraction efficiency: by responding to the trend change, the extraction is increased in advance before the gas emission is increased, the average extraction concentration can be improved by 10-25%, and the equipment safety is guaranteed; equipment overload and damage can be avoided from a control source, the service life is prolonged, energy is saved, consumption is reduced, the system can be automatically and smoothly switched between an efficient mode and an energy-saving mode, comprehensive energy consumption can be reduced by 15-30%, the adaptability is high, parameters of the control system can be automatically adjusted along with changes of working conditions, manual intervention is reduced, and the adaptability to different mine conditions is higher.

The invention relates to a multi-satellite distributed cooperative task planning method and system based on a multi-agent game, and belongs to the technical field of autonomous task management and control of spacecrafts. The method comprises the following steps: constructing a multi-satellite peer-to-peer network without a primary satellite; task whole network broadcast synchronization is carried out; each satellite generates an initial planning scheme based on self constraints; an inter-satellite communication exchange scheme is adopted; each satellite calculates an optimal self-adjustment scheme and a corresponding regret value under the current other-satellite scheme; selecting a part of satellites to update the scheme based on a preset game learning rule; iteration is carried out until the'regret values' of all satellites are zero, that is, the system reaches Nash equilibrium, and a final collaborative planning scheme is output. According to the method, the game model is established, the global optimization target is decomposed into individual local benefits consistent with the global optimization target, so that the satellite can be self-organized to converge to a high-quality collaborative solution only by means of local information interaction, the dependence on a central node is reduced, and the autonomy, robustness, response speed and expansibility of the system are remarkably improved.

A sailboat support includes a keel support platform, a mechanical linkage assembly, and rotating support arms to proportionally distribute the weight of the sailboat between the keel and the hull. The support is designed so that the keel bears the majority of the load while the hull receives proportional support through a flexible cradle. The system is self-adjusting, thus reducing the need for manual adjustments and improving ease of use and safety.

The invention relates to the field of hearing aid self-inspection, in particular to a hearing aid operation self-inspection method, which performs fault diagnosis by setting a filtering module and an intelligent algorithm, realizes real-time monitoring and automatic diagnosis of a hearing aid in an operation process, effectively improves the effect that a user can find potential problems of the hearing aid in time through self-inspection, and improves the user experience. The self-checking result can enable a user to intuitively know the working state of the hearing aid and increase confidence and satisfaction during use, and through regular self-checking and timely maintenance, the failure rate of the hearing aid can be reduced, the service life of the hearing aid can be prolonged, and the user experience can be improved. And self-inspection can help a user to perform self-adjustment when a problem is slight, so that the maintenance cost caused by a fault is reduced.

The invention relates to the technical field of numerical control engraving equipment servo control, and discloses an engraving machine servo parameter self-tuning method, device and equipment and a medium, and the method comprises the steps: determining a contour error which is matched with a standard test track and is used for representing the machining precision; determining a vibration index which is matched with the standard test track and is used for representing the machining stability; and based on a fitness function constructed by the contour error and the vibration index, determining a target servo parameter combination adapted to the current processing working condition, so that a servo controller of the carving machine carries out carving processing according to the target servo parameter combination, the full-process autonomous decision-making from state perception, performance evaluation to parameter self-optimization is realized, so that the technical problem of how to carry out self-adjustment according to specific working conditions in the actual machining process of the engraving machine is solved.

The invention discloses a fish habitat water flow structure restoration method, and belongs to the technical field of water conservancy and hydropower ecological protection and fishery resource protection. The method comprises the following steps: S01, analyzing the climate change trend of a target water area; s02, establishing a fish demand model; s03, predicting possible flow velocity change, depth change and area expansion and reduction conditions of the target water area by adopting hydrodynamic simulation software; s04, a set of self-adjustable water flow structure repairing scheme is designed; s05, the water flow structure repairing scheme is visually displayed; s06, carrying out water flow structure repair scheme trial points in the target water area, and adjusting and perfecting a water flow structure repair scheme; and S07, evaluating the effect of the repair measures, and adjusting and optimizing the water flow structure repair scheme according to the evaluation result. Climate change, fish ecological requirements and hydrodynamic simulation are deeply coupled, a self-adjustment optimization mechanism is integrated in the restoration method, and an innovative solution is provided for long-term stability of the fish habitat.

The application discloses a self-adaptive hierarchical decision method and device, system and storage medium, comprising the following steps: modeling a teaching process as a long-term sequence decision process; adopting a hierarchical decision structure to divide the long-term sequence decision process into a macro stage decision layer and a micro execution decision layer; taking the long-term teaching effect as an optimization target to evaluate the decision effect in the whole teaching cycle; continuously updating the belief state according to the student learning feedback and dynamically adjusting the macro and micro decision strategies, so that the teaching decision has a self-adjusting capability. The technical scheme of the application can optimize the teaching decision in a long term under the condition that the student state is not completely observable.

The invention relates to the technical field of building energy-saving control, and discloses a building energy consumption management method and system. The core lies in that an energy consumption preset constraint condition and a data stream analysis method are invented, energy consumption characteristic analysis is performed on energy consumption data streams, building energy consumption distribution characteristics are identified, the characteristics are combined with environmental data, similarity calibration is performed on a preset energy-saving decision space, a decision trigger interval is determined, and candidate strategies are generated; and the fitness value of each candidate strategy is calculated and screened, so that the feasibility of the scheme is ensured. And further, on the basis of future energy consumption characteristics and environment data obtained through prediction, feedforward compensation optimization is carried out on the screened strategy, and a final optimization scheme is generated and executed. According to the method, through dynamic calibration and prediction optimization, active generation and self-adjustment of an energy-saving strategy are realized, and the intelligent level and energy efficiency of building energy management are improved.

The invention relates to the technical field of autonomous planning navigation, in particular to an anti-interference multi-route autonomous planning navigation method in a polar region environment, which comprises the following steps: environment perception and data acquisition: collecting polar region environment data by using a millimeter wave radar, a laser radar, a meteorological sensor, an infrared night vision device and a high-definition camera. According to the method, a dynamically updated environment situation map is constructed through a multi-source data fusion technology, an accurate and reliable basis is provided for planning, a multi-route parallel generation and multi-target optimization mechanism is adopted, the diversity and robustness of a scheme set are ensured, the anti-interference capability of a decision-making system is enhanced, and the decision-making efficiency is improved. And a whole-course linkage mechanism from real-time interference evaluation to dynamic rolling optimization to closed-loop verification is also established, and self-adjustment and continuous optimization can be carried out according to environmental feedback, so that the autonomy, safety and adaptability of polar navigation are remarkably improved.

The present application relates to the technical field of voice analysis, and particularly discloses a vocal music training method and system based on artificial intelligence, which collects and analyzes body posture parameters of a target vocal music training person, detects posture abnormalities after preprocessing, forms a first abnormal training set, simultaneously captures and analyzes pronunciation feature parameters, identifies pronunciation abnormalities, forms a second abnormal training set, comprehensively generates an abnormal parameter training total set, and matches a correction set, and the abnormal degree and causes of body posture and the abnormal degree and causes of pronunciation are visually displayed, so that the target vocal music training person can directly see his / her own posture and pronunciation problems, and is facilitated to make self-adjustment and correction.

The present invention relates to a resonator (1) comprising at least one first region (10) and at least one second region (20) arranged opposite to each other, at least one first hinge (11) connected to the said first region (10), at least one second hinge (21) connected to the said second region (20), and at least one lever (40) connected to the said first hinge (11) and the said second hinge (21) so as to be at least partially movable along a first axis (I). The novelty resides in that the resonator comprises at least one adjustment mechanism (50) positioned between the first region (10) and the second region (20) to maintain continuous resonance by automatically tracking the varying excitation vibration frequency, wherein the said adjustment mechanism (50) is capable of being positioned in the vicinity of the first hinge (11) so as to align the instantaneous center of velocity (II) of the lever (40) at a predetermined position in response to the varying excitation vibration frequency.

The invention discloses a hot air control system for a high-speed blower, and relates to the technical field of application of high-speed blowers. The high-speed blower comprises a high-speed blower main body and an air outlet nozzle, and at least comprises the following modules: a control panel for operation input; and the self-learning control module is used for automatically adjusting the wind speed and the temperature according to the use habits of the user. The self-learning module and the self-adaptive system module are further carried in a traditional hot air control system, so that the temperature and the air speed of the blower are further ensured to be always kept within a range set by a user, and more comfortable use experience is provided. Meanwhile, due to the fact that the system can conduct self-adjustment according to real-time feedback information, the energy utilization efficiency can be effectively improved, energy waste is reduced, through the design of the multifunctional hot air control assembly, the flow, the air direction and the continuous air direction of hot air can be conveniently adjusted according to using requirements, and then hot air control more suitable for users is achieved.

This application relates to the field of servo control technology for CNC engraving equipment, and discloses a method, device, equipment, and medium for self-tuning servo parameters of an engraving machine. The method includes: determining a contour error that matches the standard test trajectory to characterize machining accuracy; determining a vibration index that matches the standard test trajectory to characterize machining stability; and determining a target servo parameter combination suitable for the current machining condition based on a fitness function constructed from the contour error and the vibration index, so that the servo controller of the engraving machine performs engraving processing according to the target servo parameter combination. This achieves autonomous decision-making throughout the entire process from state perception and performance evaluation to parameter self-optimization, thereby solving the technical problem of how to self-adjust according to specific working conditions during actual engraving machine processing.

The present application relates to the technical field of aluminum bar conveying, and provides an aluminum bar conveying system for aluminum bar cutting, which comprises a controller, a chain transmission roller conveying system, a conveying motor and a chain self-adjusting assembly. The chain self-adjusting assembly is connected with the adjusting chain disc through the adjusting shaft, the first adjusting rod, the counterweight and the second adjusting rod, and the adjusting block is arranged on the frame above the adjusting roller. The present application can realize self-adjustment of the tightness of the chain and the adjustment range is adjustable, and can realize self-adjustment of the aluminum bar during conveying, thereby improving the stability of the aluminum bar conveying.

The application carries out systematic analysis on air-to-ground mobile communication antenna, and proposes a low-cost active comprehensive motherboard based on 5G application, which can perform self adjustment and self-checking, has high instantaneous channel signal-to-noise ratio and vector error. Through reasonable design, the modules such as transceiver link, feeder network and antenna unit are integrated in limited size, vertical polarization and horizontal polarization bidirectional operation are realized, and a pure receiving path is integrated, which can be used for adjacent area measurement. The motherboard adopts high-low frequency mixed voltage form, realizes reasonable transmission of C-band signal, and reduces the radio frequency path loss. The active comprehensive motherboard is based on low-cost design, and the mobile communication antenna is installed in the belly of the civil aviation machine, which meets the demand of civil aviation cost control.

A method, an apparatus, and a computer program product are provided. In the context of a method, the method receives real data by a first codec. The method generates a first bitstream based on real data. The method generates initial reconstructed data based on the first bitstream, wherein the initial reconstructed data includes a reconstruction of the real data. The method outputs initial reconstructed data by a first codec. The method determines residual true data based at least on the initial reconstructed data and the true data. The method determines auxiliary data based at least on the first bitstream, or at least on data derived from the first bitstream. The method receives, by a second codec, residual true data and auxiliary data. The method generates a second bitstream based on the residual true data and the auxiliary data.