8 results about "Systems evolution" patented technology

The invention provides an urban human-water system complex mutual feedback relation identification method based on a system evolution model, and the method comprehensively considers the factors of population change, water resource utilization, water pollution control, urban economic development and the like of a research area. Comprising the following steps: S1, analyzing the evolution characteristics of three subsystems of people, water and city in a research area, and evaluating the coupling coordination degree of the three subsystems; s2, gathering related data, carding causal relationships among the interiors of the three subsystems, constructing a quantification equation, and constructing a mutual feedback evolution model of the urban human-water system by adopting a system dynamics method; and S3, verifying the simulation effect of the model through visual inspection and historical inspection. According to the method, the complex mutual feedback relation among human, water and city multi-elements can be clarified, the human, water and city multi-element mutual feedback evolution process is simulated, finally, a universal model framework is established, the framework can be applied to human, water and city coupling systems in different urban regions, and technical support is provided for achieving coordinated development of the urban economic society and the water resource environment.

The application discloses a kind of Yellow River Basin cascade reservoir group system sustainable development regulation methods, comprising: the watershed system is divided into water and sediment, ecological and social subsystem, obtains multidimensional parameter data and identifies the order state flow variable of driving system evolution;The same vibration degree of order state flow variable is calculated, and the same vibration degree represents the coordination level of variable evolution;Overall harmonic contractility of system is calculated based on the same vibration degree;Select water and sediment regulation factor, construct the quantitative regulation model including water and sediment regulation factor, the same vibration degree of order state flow variable and the mapping relationship of system harmonic contractility;The target harmonic contractility interval of system is set, and based on quantitative regulation model, the water and sediment regulation factor regulation threshold required for realizing the target is calculated reversely.The application introduces evolution coordination analysis and reverse regulation mechanism, solves the problems that traditional method is difficult to quantify time sequence synchronism and cannot backstep regulation boundary, realizes the target-oriented accurate regulation of watershed system.

This invention discloses a robot navigation method suitable for large sparse environments, comprising the following steps: Step 1, establishing a system evolution equation based on the robot's state vector and kinematic equations, incorporating an environmental sparsity factor into the system evolution equations, and then introducing trajectory tracking weights and obstacle avoidance weights to construct a dynamic system model; Step 2, determining whether the dynamic system model is in a critical state between stability and chaos by solving the Jacobian matrix and Lyapunov exponent of the dynamic system model. When the maximum Lyapunov exponent is approximately equal to 0, the critical stability condition is reached; Step 3, based on the critical state, designing a path evaluation function to screen stable path points, and dynamically adjusting the obstacle avoidance weights through bifurcation parameter adjustment control equations to achieve adaptive switching between ordered tracking and chaotic obstacle avoidance, thus completing robot navigation in large sparse environments. This invention can ensure that robots can efficiently and stably complete navigation in large sparse environments.

This invention discloses a collaborative optimization design method for bearing systems based on TRIZ theory, belonging to the field of mechanical design and innovation methods. First, based on the optimization requirements of the bearing system performance, this invention establishes a three-level functional model of supersystem-system-subsystem and identifies key problem clusters. The functional model includes at least one of the following: useful functions, harmful functions, insufficient functions, and excessive functions. Then, based on the three-level functional model, contradiction solutions and resource analysis are performed at the component level, system level, and supersystem level to obtain contradiction solutions. Subsequently, a matter-field model is constructed and solved, and the TRIZ evolutionary law is applied to guide system reconstruction to obtain a system evolution scheme. Finally, the contradiction solutions and the system evolution scheme are cross-integrated and their feasibility is evaluated to generate an innovative conceptual design scheme for the bearing system. This invention effectively solves the problems of existing technologies being limited to single problems and isolated components.

The embodiment of the invention discloses a system evolution capability verification method and system based on breakpoint regression and entropy analysis, and the method comprises the steps: constructing a system evolution evaluation system comprising a plurality of evaluation dimensions; a stable closed environment is provided through an environment control module, and operation data of a target system in the closed environment is collected through a multi-mode sensor network; adopting a preset breakpoint detection algorithm, setting a significance level index, analyzing the operation data, identifying a state sudden change point of the target system, and calculating a breakpoint regression design score; based on an information entropy principle, calculating a structure entropy, a function entropy and an energy entropy; calculating an evolutionary ability index according to the structural entropy, the functional entropy, the energy entropy and the breakpoint regression design score; and judging whether the target system has the autonomous evolution ability or not according to the evolution ability index. According to the invention, precise control and high-precision multi-dimensional data acquisition of the system environment are realized, and quantitative verification of the system evolution capability is realized.

This invention presents a unified framework for addressing complex, multi-domain challenges through adaptive design optimization, equation discovery, and hypothesis generation. Central to the framework is the Mathematical Sphere Framework (MSF), which employs advanced machine learning and hybrid computing to interrelate equation families across fields such as CFD, FEM, CAD, and PLM. MSF enables cross-domain optimization with transparent, physics-based representations, fostering continuous insight generation and system evolution. A neural-assisted system refines equations from experimental and real-world data, advancing theoretical models and design exploration. Hybrid computing combines classical preprocessing with quantum optimization to enhance computational efficiency. A digital twin provides real-time simulation and predictive analysis, while lifecycle adaptability dynamically optimizes parameters across product stages. By improving efficiency, scalability, and interoperability, this invention transforms engineering workflows, supports innovation, and fosters cross-industry applications, including aerospace, energy, and manufacturing, driving progress in an ever-evolving landscape.

A memory-governed supervisory and evolutionary system is disclosed in which authority to influence system evolution is constitutionally constrained through adjudicated memory admission. Information from external sources and internally generated outputs is recorded as candidate memory resources within a structured memory architecture and rendered ineffective prior to adjudication by a write barrier. Admission occurs under a governance framework defining admissible evolution ranges, and system evolution arises exclusively from admitted structured memory resources. Supervisory outputs generated from admitted memory resources are expressive and non-executable, while execution and enforcement actions occur exclusively outside the system boundary. The disclosed architecture structurally separates information, authority, and execution, preventing delegation of authority to computation, intelligence, or external execution and enabling governed system evolution across asynchronous and heterogeneous environments.

This invention discloses a structurally variable coupled chaotic system and its applications, belonging to the field of information security technology. The coupled chaotic system is formed by the coupling of multiple discrete chaotic systems. During system evolution, the coupling structure between different subsystems is dynamically changed in real time by manipulating the coupling matrix. The coupled system exhibits complex dynamic behavior and high nonlinearity, and the dynamic changes in structure cause continuous abrupt changes in the system's dynamics, resulting in non-stationary chaotic sequences. This system is resistant to attacks from statistical analysis, algebraic analysis, and other methods, exhibiting extremely high security. Furthermore, this system is applicable to various chaotic systems and complex chaotic networks of arbitrary scale. It can also generate complex dynamics based on simple discrete chaotic systems. Under the same complexity and security requirements, controlling structural changes results in lower overhead. It can be used to design high-performance chaotic cryptographic systems and as a component in network security applications.