9 results about "Critical level" patented technology

The invention discloses an electric power facility disaster early warning method and system for tower level identification, and particularly relates to the field of risk assessment of electric power facility disaster early warning, and the method comprises the steps: respectively collecting the data of wind speed, temperature, humidity, precipitation and icing thickness in the range of a target tower and an adjacent tower; and synchronously collecting vibration data and current fluctuation data of the corresponding tower. Point-by-point difference and cross comparison is carried out on various monitoring data, residual changes are extracted, a difference value chain between towers is established, a disaster risk value is calculated step by step in combination with the phase coupling condition between monitoring parameters, and a risk assessment map and a disaster critical state are generated when the risk value reaches a critical level. Therefore, the real risk under the simultaneous action of multiple disaster factors is reflected, the problem that the dangerous synchronous effect is covered as a medium risk by the existing method is avoided, and relatively timely and reliable risk assessment and early warning are realized.

The invention relates to the technical field of operation monitoring, and discloses a multi-mode electrogenerated signal fusion real-time monitoring system for an orthopedic operation, and the system comprises a data collection module which collects the real-time signal data of a patient in the operation process; the physical sign monitoring module is used for preprocessing the real-time signal data, determining the physical sign state of the patient in the operation process, determining whether the patient is in a critical state or not based on the physical sign state, and determining the critical level of the patient according to the physical sign state if the patient is in the critical state; the operation monitoring module is used for determining the operation state of the patient in the operation process according to the preprocessed operation electric signal, determining whether to give an alarm or not according to the operation state and generating an alarm instruction; and the monitoring alarm module carries out sound-light alarm according to the critical level and the alarm instruction. By fusing the multi-mode electrogenerated signals, comprehensive and real-time monitoring of the operation process of the patient is achieved.

A storage device may manage free super blocks when a number of empty super blocks is at a critical level. The storage device includes a memory including multiple dies divided into physical blocks. A controller on the storage device may form super blocks from the physical blocks. The controller may store information for empty super blocks in a free pool. When the storage device is initialized and the controller receives a host write request, the controller may determine that a number of empty super blocks in the free pool is less than a warning threshold. The controller may obtain a first super block from the free pool, divide the first super block into a set of sub-super blocks, and allocate one of the sub-super blocks for the host write request, enabling the device to handle more power / program failures when the device is at or close to a critical threshold.

This charging device may comprise a first interface, a second interface, a memory for storing instructions, and at least one processor including processing circuitry. The instructions may cause the charging device to acquire a first critical level of charge and acquire a second critical level of charge, the second critical level of charge being higher than the first critical level of charge. The instructions may cause the charging device to identify a battery level of a first wearable device to provide power to the first wearable device and provide power to a second wearable device on the basis of identifying that the battery level of the first wearable device is lower than the first critical level of charge, and to provide power only to the second wearable device on the basis of identifying that the battery level is not lower than the first critical level of charge.

The invention provides a method for correcting critical dimension uniformity of a critical level. The method comprises the following steps: acquiring critical dimension data of a photoetching mask, first critical dimension data after wafer development and before etching and second critical dimension data after etching; calculating a first compensation value for compensating the mask effect based on the key size data of the mask; calculating a second compensation value for compensating the etching process effect based on the first and second critical dimension data; and combining the first compensation value and the second compensation value to generate a final compensation value, and applying the final compensation value to subsequent photoetching exposure. According to the invention, error sources are split and respectively compensated, and the mask COA data and a small amount of etching deviation data are used for replacing large-scale online measurement, so that the measurement cost is remarkably reduced, the formula updating process after equipment maintenance is simplified, and the compensation precision and the production efficiency are improved.

The invention discloses an industrial real-time task grading isolation scheduling method and system based on an LXC container, and relates to the technical field of industrial real-time operating systems, and the method comprises the following steps: S1, carrying out NUMA perception resource division on physical hardware, isolating a CPU core according to a task key level, reserving a memory bandwidth channel, and carrying out direct connection control on real-time equipment; and S2, creating a customized LXC runtime environment, constructing a real-time namespace, establishing a security isolation domain through mandatory access control, and optimizing container context switching overhead. According to the industrial real-time task hierarchical isolation scheduling method and system provided by the invention, through an innovative resource division and management mechanism, the efficiency and reliability of industrial real-time task scheduling are remarkably improved, task resources of different key levels are effectively isolated, resource competition is reduced, the real-time response capability of high-priority tasks is ensured, and the scheduling efficiency of the industrial real-time tasks is improved. The resource utilization rate is improved, and the adaptability and stability of the system are enhanced.

The invention provides an interface information sampling method, electronic equipment and a storage medium. The method comprises the following steps: acquiring a traffic information key level corresponding to each information interface; obtaining the quantity of historical traffic information received by each information interface within the target time period; determining a sampling score corresponding to each information interface according to the traffic information key level corresponding to each information interface and the quantity of historical traffic information; under the condition that any information interface receives the target traffic information, randomly generating an information numerical value corresponding to the target traffic information; if the information numerical value corresponding to the target flow information is smaller than the sampling score corresponding to the information interface, determining the target flow information as target sampling information, and analyzing the flow information and the key level of each information interface to determine the sampling score corresponding to each information interface; and the balance between the key level of the information interface and the sampling amount of the flow information is realized.

The present invention discloses an intelligent passive monitoring method based on reinforcement learning, comprising the following steps: at the listener end, based on the equivalent channel and interference covariance matrix that the listener can pre-calculate, using a first DQN to generate an analog beamforming matrix, and inputting the analog beamforming matrix into a minimum mean square error module to calculate a digital beamforming matrix; using the analog and digital beamforming matrices to calculate the signal-to-interference-noise ratio of the received signal at the listener end, and using the signal-to-interference-noise ratio as the input of a second DQN; based on the listener's position, power level, and signal-to-interference-noise ratio information of the received signal, using a second DQN to generate the listener's moving direction and speed, when the power level reaches the critical level required for returning, the listener returns to the base to recharge; repeating the above learning process, the listener will eventually learn a trajectory with the highest average monitoring rate. The present invention ensures that the listener achieves a higher monitoring rate and successfully implements monitoring in a non-cooperative environment.

The application discloses a deadline-constrained imprecise mixed critical system scheduling feasibility analysis method, which comprises the following steps: determining a system mode conversion strategy according to a deadline-constrained imprecise mixed critical task scheduling model; obtaining sufficient conditions for scheduling feasibility of the imprecise mixed critical system in a low mode; determining processor requirements of low critical level jobs according to a first preset formula or a second preset formula, and then calculating processor requirements of low critical level tasks τ i in the high mode; determining processor requirements of high critical level jobs according to a third preset formula, and then calculating processor requirements of high critical level tasks τ j in the high mode; and obtaining sufficient conditions for scheduling feasibility of the imprecise mixed critical system in the high mode according to the relationship between the length of a task interval and the processor requirements of the imprecise mixed critical task set Γ in the high mode. The deadline-constrained model is used to analyze and determine the processor requirements of the tasks by using a requirement limiting function, so that the scheduling feasibility of the system is improved.