12 results about "Steady state distribution" patented technology

The invention discloses an unmanned aerial vehicle random patrol strategy system evaluation method in a confrontation environment. The method comprises the steps of setting an unmanned aerial vehicle intelligent patrol attack and defense confrontation system and a target steady-state distribution model of the unmanned aerial vehicle intelligent patrol attack and defense confrontation system; determining the average strategy entropy of the patrol person; determining conditional probability differences of the patrol persons; determining a transfer strategy dispersion degree of the patrol person; a patrol strategy comprehensive structure difference index is determined; determining a single-time-point key state average relative error; determining the average relative error of the time average key state; and determining a time-weighted key state average relative error. According to the method, the comprehensive structure difference index of the difference between the single-state transition matrix and different matrixes is quantified, and a balanced framework is provided to evaluate the overall unpredictability of the strategy. A multi-dimensional evaluation system based on key state and time weighting is designed, and time importance is directly fused into error calculation through a key state screening mechanism.

The invention provides an AI contract tamper-proofing method based on an OCR + large language model, belongs to the technical field of large language models, and improves image quality by performing multi-scale adaptive enhancement and super-resolution reconstruction on a contract scanning image. A semantic bridging fusion model is adopted to deeply fuse an OCR recognition result and an enhanced image under a sparse coding framework to realize context correction of low-confidence characters, semantic normalization is performed on a corrected text, and a term semantic vector sequence is established; the steady-state distribution field of the semantic concentration is calculated based on the fluid dynamic diffusion equation, the concentration gradient matrix is extracted to serve as the text fingerprint, contract tampering detection with robustness to the OCR recognition error is achieved through fingerprint similarity comparison, and the technical problem that the false alarm rate is high due to the fact that contract tampering detection is sensitive to the OCR recognition error is solved.

The invention discloses an unmanned aerial vehicle communication multi-priority queue modeling and performance analysis method, and the method comprises the steps: building an extensible state model through a WiMarkov chain and a hypercube transfer unit, and achieving the low-delay access of different priorities through a threshold and a window in combination with a weighted COS statistics and fixed backoff mechanism; semi-analytical expressions of the success rate and the time delay are obtained through steady-state distribution and generation function approximation, and parameters are learned through optimization constraints. Simulation shows that the low-load success rate is larger than or equal to 99%, the high-priority delay is still kept at the millisecond magnitude during high load, and the method is suitable for an unmanned aerial vehicle network communication system with the strict real-time requirement.

This invention relates to the field of fire safety inspection technology and discloses a method for generating county-level fire safety evaluation standards based on artificial intelligence. The method includes receiving a raw county-level fire data set containing fire records from multiple dimensions; performing multiple rounds of cross-validation within the set to filter for a stable set of elements; inputting this set into a dynamic semantic network that simulates element dependencies and transmission relationships using nodes and associated edges; injecting real-time county-level environmental state parameters to trigger node state migration; and reconstructing the text-based fire safety evaluation standard clauses according to the final steady-state distribution. By obtaining stable elements through multiple rounds of cross-validation, and generating environmentally adaptable clauses through the dynamic semantic network combined with real-time parameters, the method achieves stable standard framework elements and dynamic response clauses to the environment.

This invention discloses a patrol path decision-making method for unmanned systems in adversarial environments, belonging to the field of autonomous unmanned systems and intelligent decision-making technology. The method includes: acquiring an undirected patrol topology graph of the physical environment to be patrolled; calculating the steady-state distribution of the target based on the value parameters, attack time parameters, and degree of each node; and defining a patrol strategy unpredictability index weighted by intra-strategy entropy and inter-strategy entropy. PSUI To address the uncertainty of strategies in terms of microscopic randomness and macroscopic diversity, a simulated annealing dual-entropy balance optimization algorithm is employed to maximize... PSUI To achieve the goal, a set of state transition matrix strategies is generated under the constraints of topological adjacency, row normalization, and target steady-state distribution. The unmanned system is then controlled to perform spatiotemporally decoupled patrols through random matrix switching and probabilistic transitions within the matrix. This invention unifies patrol strategy evaluation and optimization, significantly improves the unpredictability of patrol paths, and enhances the protection capabilities for critical infrastructure.

The application relates to the technical field of fault analysis, and discloses a random fault injection method and an injection system for a train air brake system, which comprises the following steps: a simulation model of a target air brake system is constructed; all historical fault information is classified to obtain fault degree information and fault type information, and a fault degree state transition diagram and a fault type state transition diagram of the target air brake system are drawn; a fault type Markov chain is constructed according to the fault type state transition diagram, and a fault degree Markov chain is constructed according to the fault degree state transition diagram; a state transition probability matrix is determined, and a steady-state distribution is solved; a probability distribution of all fault information is set according to the steady-state distribution, and all fault information is randomly extracted in layers based on the probability distribution; and the extracted fault information is injected into the simulation model; the application solves the problem that the existing fault injection method cannot conveniently and effectively perform random fault injection on the train air brake system.

The application discloses a kind of unmanned system patrol path decision-making method under hostile environment, belong to autonomous unmanned system and intelligent decision-making technical field.The method includes: obtaining the undirected patrol topology graph of the physical environment to be patrolled, target steady-state distribution is calculated based on the value parameter of each node, attack time parameter and degree;Define the patrol strategy unpredictability index formed by the weight of strategy internal entropy and strategy entropy PSUI , to quantify the uncertainty of strategy in micro-randomness and macro-diversity;Using simulated annealing double-entropy balance optimization algorithm, to maximize PSUI As target, generate state transition matrix strategy set under the constraints of meeting topology adjacency, line normalization and target steady-state distribution;Control unmanned system to carry out space-time decoupling patrol by random switching matrix and probabilistic transition in matrix.The application realizes the unity of patrol strategy evaluation and optimization, significantly improves the unpredictability of patrol path, and enhances the protection ability to key infrastructure.

The invention relates to a multi-state conversion runoff prediction method based on structural fracture recognition, and is suitable for the technical field of hydrology and water resource prediction. The method comprises the following steps: acquiring a historical runoff sequence and performing stationarity test; the global residual sum of squares is minimized under the piecewise linear regression framework; establishing a mean value model for the stationary sequence, and calculating a one-step prediction residual sequence as a disturbance term estimation value; taking the residual error as input, establishing a first-order Markov state transition structure, and jointly estimating a state transition probability matrix of the state transition structure and fluctuation parameters of each hidden state; setting an initial state probability vector as steady-state distribution or uniform distribution of the state transition probability matrix, and obtaining a smooth state probability at each moment through backward recursion by using full sample information; and generating one-step rolling condition prediction under each state, weighting according to a state prediction probability to obtain a rolling point prediction result of the runoff, executing inverse transformation according to recorded difference and transformation parameters, and recovering to an original physical quantity scale.

The invention belongs to the technical field of power grid frequency analysis, and particularly relates to a once-through boiler frequency modulation simulation method and device considering heat distribution and storage characteristics. The method comprises the steps that the steady-state distribution condition of physical property parameters along the height of a hearth is calculated based on heat load distribution nonuniformity, and a dynamic heat exchange model is constructed; aiming at the dynamic heat exchange model, building a thermodynamic system dynamic simulation model of the boiler; based on a thermodynamic system dynamic simulation model, the method is embedded into a traditional primary frequency modulation model of a power system for simulation verification and comparison. According to the method, the boiler model is built by using the heat flow method, the mismatching relation between complex fluctuation and large delay of a power plant boiler thermodynamic system in power grid frequency modulation is revealed, and under the working condition of long-term power shortage or low load, the frequency modulation capability prediction precision is higher, and the prediction accuracy is higher. And optimization of a power grid frequency modulation scheduling instruction and stability control of the power grid frequency under high-proportion new energy grid connection are facilitated.

The invention discloses an extracorporeal membrane oxygenation pipeline pressure real-time monitoring method, and relates to the technical field of extracorporeal membrane oxygenation pipelines, and the method comprises the following steps: extracting steady-state distribution segments with stable pressure and balanced amplitude from a flow direction response distribution cluster under the condition that the pipeline is determined to be externally compressed but not completely closed, and determining the flow direction response distribution cluster; the steady-state distribution segment is subjected to fluctuation consistency turn-back analysis, and the pressure signal abnormal stability phenomenon under the condition that the pipeline is externally pressed but not completely closed is determined; on the basis of determining the abnormal stability phenomenon of the pressure signal, a contrast relation between a structural steady-state block and a flowing vector direction path is established, and whether the pipeline is in a limited operation state or not is judged by comparing vector direction deviation with change characteristics of the steady-state block. According to the invention, the problem that the pipeline is limited and difficult to identify under the illusion that the pressure is stable is solved, and accurate monitoring and dynamic regulation and control of the operation state of the extracorporeal membrane oxygenation pipeline are realized.

The application relates to a training method of a coherent Ising machine and related equipment. The training method comprises the following steps: injecting noise into the coherent Ising machine, so that, under the joint action of physical parameters and the noise, the continuous amplitude vector of the light pulse generated by the coherent Ising machine evolves to a steady-state distribution state subject to the Gibbs distribution according to the Langevin dynamics evolution rule, the physical parameters include pumping parameters, saturation parameters, coupling coefficients, bias field parameters and gains; after the continuous amplitude vector collected under the current steady-state distribution is taken as negative-phase amplitude data, one or more of the physical parameters are updated based on the update amount obtained from the deviation between the negative-phase amplitude data and positive-phase amplitude data, so that the continuous amplitude vector reaches a target steady-state distribution. The application solves the problem that in the traditional CIM machine, the parameters are mostly fixed or empirically adjusted, and the steady-state sample distribution of the light pulse changes greatly due to environmental drift and device errors.