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7 results about "Systems theory" patented technology
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Systems theory is the interdisciplinary study of systems. A system is a cohesive conglomeration of interrelated and interdependent parts that is either natural or man-made. Every system is delineated by its spatial and temporal boundaries, surrounded and influenced by its environment, described by its structure and purpose or nature and expressed in its functioning. In terms of its effects, a system can be more than the sum of its parts if it expresses synergy or emergent behavior. Changing one part of the system usually affects other parts and the whole system, with predictable patterns of behavior. For systems that are self-learning and self-adapting, the positive growth and adaptation depend upon how well the system is adjusted with its environment. Some systems function mainly to support other systems by aiding in the maintenance of the other system to prevent failure. The goal of systems theory is systematically discovering a system's dynamics, constraints, conditions and elucidating principles (purpose, measure, methods, tools, etc.) that can be discerned and applied to systems at every level of nesting, and in every field for achieving optimized equifinality.
A desulfurization intelligent control system based on machine learning algorithm
The present application relates to the field of desulfurization control, and discloses a desulfurization intelligent control system based on a machine learning algorithm, comprising a collection module, an analysis module, a prediction module and a decision module, wherein a multi-physical field parameter in a desulfurization tower is collected through multi-sensor fusion to generate a multi-physical field state tensor; the dynamics behavior of an intelligent feature extraction analysis system is utilized to generate a characteristic parameter tensor; a state space model is constructed based on a dynamic system theory to generate a multi-target intelligent prediction result. The present application establishes a closed-loop control system from holographic perception to intelligent decision-making, solves the problems of perception limitations and single targets existing in traditional desulfurization systems, and improves desulfurization efficiency and reduces energy consumption.
Owner:SHANGHAI SHANGDIAN CAOJING POWER GENERATION
A time-space self-learning early warning system for foundation settlement risk in highway construction process
The present application relates to the technical field of deformation monitoring, in particular to a time-space self-learning early warning system for foundation settlement risk in highway construction process, which comprises an information processing module, a weight construction module, a tensor analysis module, a risk calculation module and an early warning release module. In the present application, the spatial position vector and the Gaussian kernel function are used to evaluate the distribution density and generate the coverage weight, which eliminates the local deviation caused by uneven distribution and ensures the balanced expression of regional settlement characteristics. The lag interval is deduced by using the soil consolidation theory and the deformation direction consistency is screened, the environmental noise is eliminated to lock the effective cumulative settlement caused by specific process, the prediction model with self-adaptive ability is constructed by combining the grey system theory, the dynamic growth rate of the settlement cumulative value is tracked in real time, the change from static control to dynamic trend warning is realized, and the sensitivity of capturing the precursor of foundation instability is improved, which provides a scientific basis for construction process adjustment.
Owner:SICHUAN FUJI INTELLIGENT TECH CO LTD
Intelligent evaluation and zoning optimization method for coastal zone ecological resilience
The application provides a kind of coastal zone ecological resilience intelligent evaluation and zoned optimization method, it is related to geographic information technology field, including: based on social-ecological system theory, from ecological resistance, ecological resilience and ecological stability three dimensions, the index system of coastal zone ecological resilience evaluation is constructed, the pre-processing and standardization of the obtained multi-source data are carried out;Based on the index system and the data after standardization, the ecological resilience index of each evaluation unit in the research area is calculated by using comprehensive weighting and approximation ideal solution sorting method, and the spatial distribution pattern of ecological resilience is analyzed;With the ecological resilience index as the target variable, the social, economic and environmental factors as the characteristic variables, a machine learning regression model is constructed, and the non-linear influence and interaction of each characteristic variable on the ecological resilience index are analyzed using the interpretable artificial intelligence framework to identify the key driving factors and thresholds;Based on the analysis results, the zoned ecological resilience optimization control strategy is developed.
Owner:SHANDONG JIANZHU UNIV
Urban green space homogenization evaluation method and system based on plant landscape culture coupling
PendingCN122175440AData processing applicationsDesign optimisation/simulationEnvironmental resource managementPlant community
The application discloses a city green land homogenization evaluation method and system based on plant landscape culture coupling, relates to the field of city planning and landscape ecology evaluation, constructs a multi-gradient observation field, selects representative cities with climate differences, and sets standard quadrats along a "central urban area-suburb-natural area" gradient in each city to collect plant community data; a plant diversity evaluation model is constructed, and the application overcomes the limitations of the prior art which only focuses on single-dimensional plant diversity analysis or pure subjective landscape aesthetic evaluation. Through the construction of a "plant-landscape-culture" three-dimensional coupling evaluation model, the quantitative correlation of ecological indexes, visual landscape patterns and regional culture perception factors is realized for the first time, and the internal driving mechanism of city green land homogenization can be revealed in depth from the perspective of system theory.
Owner:HAINAN UNIV
A rehabilitation nursing management system based on artificial intelligence
The application discloses a rehabilitation nursing management system based on artificial intelligence and relates to the technical field of artificial intelligence.The method comprises the following steps: a multi-source heterogeneous perception module is used to map multi-modal data to a low-dimensional Riemann manifold space to generate a homogeneous feature matrix; a federal learning module is used to predict physiological states by uploading gradient residuals only by using a federal distillation mechanism; a nursing scheme module is used to generate a rehabilitation path with risk early warning based on a dynamics system theory; a multi-modal large model decision module is used to generate a nursing task in combination with a nursing portrait; and a task coordination management module is used to distribute the confirmed task to optimal nursing personnel by using game theory.The application effectively solves the problems of multi-modal data redundancy and privacy leakage, realizes real-time quantitative early warning of rehabilitation risks and game optimization of nursing resources, and greatly improves the response speed, execution accuracy and safety of rehabilitation nursing.
A false data injection attack method for a multi-elastic-joint robot system
ActiveCN121967088BSecuring communicationKnowledge based modelsComputation complexityMathematical model
The application provides a false data injection attack method for a multi-elastic joint robot system, and belongs to the technical field of multi-agent network attacks based on computer data processing; firstly, a nonlinear dynamic mathematical model of the multi-elastic joint robot is constructed, and the model is converted into a high-order full-drive pseudo-linear multi-robot system dynamic model based on a full-drive system theory; then, a distributed consistency controller containing a linearization term and a neighbor error related term is designed, a closed-loop global dynamics is established in combination with model equivalent conversion, and a state analytical solution is derived. An attack strategy of false data injection is designed, a system dynamic model after being attacked is constructed, a closed-loop terminal state error with or without attack is taken as an objective function, an attack optimization problem is converted into a combination optimization problem, a greedy algorithm is designed by using a submodular optimization theory, a suboptimal solution in a polynomial time is obtained, and the suboptimal solution is used as an optimal scheme of the false data injection attack of the system. The application improves the applicability of a complex nonlinear multi-agent system and reduces the calculation complexity.
Owner:OCEAN UNIV OF CHINA
Shale gas drilling speed-up method and system for rock drillability prediction
PendingCN122257768AAccurately predict drillabilityOptimize impact parametersAutomatic control for drillingElement analysisFinite elemente analyse
The application discloses a shale gas drilling speed increasing method and system for rock drillability prediction, and the method comprises the following steps: collecting geological and rock mechanics parameters of a target stratum, establishing a rock drillability quantitative evaluation model based on a grey system theory analysis method; based on the rock drillability quantitative evaluation model and a PDC drill bit cutting tooth force balance equation, a mechanical interaction model of a PDC drill bit cutting tooth with rock containing a chamfer is established, and the mechanical interaction model is corrected through finite element analysis combined with experimental data; a rotating impact experiment is conducted based on a homogeneous isotropic rock sample, basic mechanical parameters of the rock are recorded, and the influence of different impact parameters on the rock breaking process is tested; and based on the corrected mechanical interaction model and the rotating impact experimental data, the best impact load and impact frequency range are determined to improve the shale gas drilling speed. The application can effectively reduce the unit rock breaking specific work and improve the shale gas drilling efficiency, and has wide engineering applicability.
Owner:PETROCHINA CO LTD