108 results about "Topological mapping" patented technology

The invention relates to the technical field of electrical digital data processing, and discloses a statistical entropy and multi-factor fused text similarity data processing method, which comprises the following steps that: a processor extracts substring sets which do not contain maximum common values of a first data sequence and a second data sequence, and calculates the quadratic sum of the lengths of substrings to generate local statistical entropy; traversing the maximum common substring set to obtain storage address indexes of the maximum common substring set in the first data sequence memory space and the second data sequence memory space, and constructing a topological mapping vector of a mapping structure displacement relationship; calculating the total number of inverted pairs of the topology mapping vector by using a merge sorting algorithm, and generating a normalized topology dissipation index; and by taking the local statistical entropy as an information carrier and taking the topological dissipation index as a structural damping factor, executing nonlinear damping modulation operation to obtain a final similarity score, and solving the technical problem that the block-level displacement cannot be identified by linear scanning logic by quantizing topological entropy increase of data distributed in a storage space.

The invention relates to the technical field of electrical digital data processing, and discloses a system conflict point intelligent review system based on a knowledge graph and a large language model, which comprises the following steps: constructing a dual-mode storage space containing an unstructured index and a structured logic graph, analyzing target text extraction features and triggering graph-based generation logic; converting the topological structure of the associated sub-atlas into a natural language instruction sequence to construct a forced logic constraint template, filling the template with a text, and inputting a pre-training language model to generate a verification result; according to the method, the discrete atlas topology is mapped into the linear logic constraint, random divergence of the generative model is restrained on the calculation principle, and precise decoupling and dynamic evolution of unstructured semantics and structured logic are achieved.

The invention discloses a cooperative scheduling method for a zero-carbon park complementary energy storage system, and the method comprises the steps: enabling an electric energy quality index to be explicitly incorporated into an optimization target through multi-source resource dynamic modeling and scene prediction, and building a strong coupling relation between a physical constraint and a scheduling decision; the hierarchical execution mechanism gives consideration to global optimization and local quick response, realizes undisturbed switching under abnormal working conditions, forms a prediction-optimization-execution-feedback closed-loop control system, and can accurately describe physical connection and electrical characteristics of a park power grid by establishing a power distribution network equivalent model and acquiring topological parameters, thereby realizing the optimal control of the park power grid. And basic network data is provided for subsequent optimization. By determining the controllable resource set and completing topological mapping, the position and the regulation and control range of each device in the power grid can be determined, and mistaken sending or conflict of instructions can be avoided. An apparent power upper limit constraint and SOC dynamic model is established, overload operation of equipment can be avoided, the energy storage charging and discharging capacity can be accurately represented, and the performability of a scheduling scheme is ensured.

The invention relates to the technical field of electric digital data processing, and discloses a multi-dimensional data logic processing method based on an artificial intelligence algorithm, which comprises the following steps: receiving a target discrete data packet, extracting metadata, and calculating to generate a dimension entropy feature vector representing data logic complexity; inputting the vector into a preset topological mapping model, and outputting an initial adjacent matrix; calling a feedback suppression mask matrix generated based on a historical operator utility state, and executing bitwise logic AND operation with the initial adjacent matrix to generate a corrected effective topological matrix; the matrix is analyzed, a logic operator function pointer is dynamically indexed in an instruction cache, and a directed acyclic execution linked list is constructed; according to the method, redundant logic nodes in AI prediction are definitely eliminated through a bit operation mask mechanism based on historical feedback, and deterministic convergence of processing delay and optimal matching of computing power resources are achieved.

The invention relates to the technical field of bridge engineering structure health monitoring, in particular to a service life prediction method and system for a bridge connection part, and the method comprises the steps: collecting the strain of a grouting sleeve, a reinforcement-grouting interface ultrasonic reflection signal and environment temperature and humidity data through a distributed sensor array; a three-dimensional dynamic void rate model is generated through fusion of a spatial topological mapping algorithm, a correlation function of load circulation and void expansion is established, the dynamic void rate is input into a bond strength coupling degradation model, after strength attenuation is quantized in combination with steel bar corrosion data and bond failure early warning is triggered, stress redistribution is calculated through multi-physics coupling simulation, and the dynamic void rate is obtained. Early warning is taken as a starting node, the actual load spectrum and temperature and humidity data are combined, Monte Carlo sampling is adopted to simulate rigidity degradation and output the residual life probability, the system comprises a multi-source collaborative sensing unit, a micro-void evolution analysis unit and a life prediction decision unit, and the safety control precision of bridge connection parts is improved.

The invention discloses a dynamic topology mapping and GPU heterogeneous flood coupling model real-time early warning method, and solves the problems of inflexible coupling of a one-dimensional model and a two-dimensional model, low calculation efficiency, poor dynamic response capability and the like in traditional flood simulation. A dynamic topology mapping mechanism is introduced to respond to emergencies such as dike burst and overflow in real time, the calculation efficiency is remarkably improved by utilizing a GPU heterogeneous parallel architecture, rapid and accurate simulation of the whole process of flood formation, evolution and submerging is achieved, reliable technical support is provided for flood control dispatching and emergency decision making, and the method is suitable for large-scale popularization and application. The method comprises the following steps: constructing a two-dimensional hydrodynamic model based on an unstructured grid, establishing a dynamic topology mapping mechanism and realizing GPU parallel numerical calculation; a two-dimensional model lateral connection coupling mechanism is constructed, dam overtopping flow is calculated in real time, and breach flow dynamic calculation of an improved DAMBRK method is carried out; multi-target parameter calibration, multi-dimensional model verification and one-two-dimensional model GPU collaborative parallel computing are realized.

The invention discloses an underground pipeline intelligent detection and mapping method based on image recognition, and the method comprises the following steps: 1, obtaining continuous video images, associating feature matching pairs of adjacent key frames, and forming a pose parameter set; 2, inputting the key frame into an improved YOLO-World detection network, and outputting a detection result set; 3, obtaining a geometric consistency matching set according to the detection result set; 4, performing multi-view triangularization on the geometric consistent matching set to form a weight factor; 5, introducing a weight factor, and executing incremental beam adjustment optimization on the pose parameter set and the three-dimensional sparse point set to obtain a sparse semantic point cloud; and step 6, outputting an underground pipe network topology map. According to the invention, high-precision and high-robustness intelligent identification and topological mapping in a complex underground pipeline environment are realized.

The invention relates to the technical field of computer data processing and network security, in particular to an illegal character automatic cleaning system, which comprises a rule compiling module for monitoring rule change, performing semantic fusion and topological mapping on a rule set, constructing a deterministic finite automaton and mapping the deterministic finite automaton into a state transition table; the state switching module is used for constructing a double-buffer context and operating lock-free switching through an atomic pointer to realize hot updating; the speculation execution module is used for carrying out vectorization pre-scanning based on a state transition table by utilizing single-instruction multi-data stream parallel loading, identifying a walk path, falling into a safe state for releasing and falling into a trap state for triggering external verification; the self-adaptive feedback module is used for counting trap state triggering frequency, generating a rule allergy report and dynamically adjusting the size of a read fragment; according to the method, the contradiction between rule flexibility and execution efficiency is solved, and high-performance cleaning based on speculative execution is realized.

The invention relates to the technical field of power system dispatching, in particular to a virtual power plant low-carbon economic dispatching method and system.The method comprises the steps that firstly, historical output data of all virtual power plants are obtained, and output prediction data considering uncertainty are obtained through prediction according to a time sequence; then constructing a carbon emission reduction responsibility distribution space, determining a carbon emission reduction responsibility weight of each virtual power plant through topological homeomorphic mapping, and solving a target function with the lowest carbon emission cost by combining a carbon emission constraint index to obtain an output optimal planning sequence; finally, a discrete-continuous hybrid dynamic model is constructed, cooperative scheduling of multiple energy storage devices is achieved, the situation that time differences of different scheduling periods are not integer multiples is processed, a carbon emission reduction responsibility dynamic allocation mechanism is constructed through the topological mapping theory, output prediction uncertainty is quantified through the probability measurement theory, and the probability prediction uncertainty is improved. And performing optimal scheduling on each virtual power plant.

The invention discloses a topological mapping monitoring and correcting method for abnormal scapular brachial rhythm after breast surgery, and belongs to the field of medical rehabilitation and computer vision. The method comprises the following steps: acquiring a trunk dynamic three-dimensional point cloud and infrared thermal imaging data; constructing a multi-layer collaborative dynamic topology network fusing a skeleton structure, soft tissue deformation and physiological activeness; extracting an intrinsic motion field and comparing the intrinsic motion field with the ideal model to generate deviation measurement; and calculating a dynamic instability index, comparing the dynamic instability index with a threshold value, and triggering optimization energy correction path calculation and instruction output. According to the method, the multi-dimensional topological mapping and dynamics prediction technology is adopted, accurate recognition and feed-forward early warning of motion abnormity under the influence of deep tissue adhesion after the breast surgery can be achieved, rehabilitation of a patient is guided through an energy consumption minimization path, and the accuracy of shoulder joint function remodeling and the individualized treatment effect are improved.

The invention discloses an image processing method and device for an aerial remote sensing image and a storage medium, and relates to the field of image analysis, and the method comprises the steps: obtaining an aerial image shot by an unmanned plane in real time, and carrying out the image preprocessing of the aerial image, and obtaining a preprocessed aerial image; performing rigid framework extraction on the preprocessed aerial image to obtain an original incomplete framework graph after gravel interference is removed; carrying out fracture framework repair and completion on the original incomplete framework diagram to obtain an unmanned aerial vehicle visual angle topological structure diagram; performing elastic topological mapping matching on the unmanned aerial vehicle visual angle topological structure diagram and a pre-stored satellite reference diagram to obtain a matching result; and carrying out pose calculation according to a matching result, and outputting accurate coordinate information of the unmanned aerial vehicle in the world coordinate system. According to the method and the device, high-precision positioning can be realized in an extreme environment in which the GPS is rejected and the surface texture is subjected to unstructured deformation.

The invention relates to the technical field of liquid crystal display, and discloses a liquid crystal module character display method, which comprises the following steps of: performing stroke decomposition and topological relation establishment on Chinese characters in a target character set to generate a character stroke data set; performing two-dimensional character topological mapping and compressed encoding on the to-be-displayed characters to form compressed character description data; executing hierarchical rendering and stroke synthesis in a character reconstruction engine to generate a target character dot matrix; pixel array electric field distribution optimization is carried out, and sub-pixel-level precision character edge display data are obtained by controlling the driving voltage gradient; performing electric field compensation based on the character edge display data with sub-pixel-level precision to form character display data with enhanced edge sharpness; stroke self-adaptive anti-aliasing processing is carried out on the character display data with enhanced edge sharpness, clear Chinese character display data is output, the visual smoothness of character edges in a small-size display environment is optimized, and the overall recognition degree of characters is improved.

The invention relates to the technical field of circuit fault processing, and discloses an automatic identification and remote isolation method for a fault section of a low-voltage distribution line, and the method comprises the steps: building a reference fingerprint database based on channel state information through a central coordination node; monitoring real-time channel frequency response and executing threshold comparison to judge suspected fault points; triggering an active impedance control unit of the terminal agent node to execute controlled perturbation; a transmission line network model is used for calculating a theoretical transmission function variable quantity, fitting analysis is carried out on the theoretical transmission function variable quantity and a measured value, and a physical fault is judged and load interference is stripped through a normalized residual coefficient; calculating a residual drift distance between adjacent nodes based on the topological mapping table to execute differential positioning so as to lock a fault physical interval; and issuing a tripping message, and driving the circuit breaker to execute physical isolation at the power frequency zero crossing point. According to the scheme, on-line fault identification and isolation are realized through active impedance perturbation and distributed residual analysis, and the robustness of fault judgment in a complex load environment is improved.

The invention relates to the technical field of aircraft path planning, and particularly provides an autonomous path planning method based on multi-rotor multi-aircraft cooperative hoisting, which comprises the following steps: constructing a dynamic node network through an asymmetric topological mapping algorithm based on real-time deformation feedback data of a hoisting target object, generating a self-adaptive bearing frame, and carrying out multi-rotor multi-aircraft cooperative hoisting on the basis of the self-adaptive bearing frame; the internal stress gradient distribution is converted into an initial potential energy field for path planning; based on the characteristics of the initial potential energy field of the bearing frame, a vortex interference mechanism between rotor wing groups is introduced, and dynamic track seed points are embedded into the initial potential energy field; generating a trajectory probability cloud with a non-uniform density feature; regulating and controlling phase parameters of a topological structure elastic modal unit of the derivative field; and implanting a bipolar feedback channel in the trajectory probability cloud, triggering trajectory solidification through an energy difference threshold, and generating a collaborative path group meeting dynamic balance. According to the invention, full-autonomous dynamic path planning and real-time adaptive adjustment of the multi-rotor cluster in hoisting operation are realized.

The invention discloses a hydraulic control optimization system and method based on differential pressure direction change pattern recognition, and the method comprises the steps: carrying out the phase-space topology reconstruction and singular spectrum analysis according to the pressure signals of an oil inlet cavity and an oil return cavity of a hydraulic cylinder, and determining the topology mapping characteristics of a differential pressure direction; based on the topological mapping features, spatial features are extracted through a multi-scale convolutional network, and mode reference features are determined in combination with an attention mechanism; carrying out real-time differential pressure load mode identification by utilizing a manifold mapping space; constructing a mode comparison learning mechanism based on a historical load mode, predicting a mode trend and determining hydraulic control target parameters; and analyzing errors between displacement feedback of the piston rod of the hydraulic cylinder and control target parameters through the disturbance observer, and dynamically updating mode reference characteristics. Accurate real-time recognition and dynamic optimization control of the differential pressure fluctuation mode of the hydraulic system are achieved, and the operation stability and control precision of the system are remarkably improved.

The invention belongs to the technical field of biological information calculation, and discloses a pet feed additive formula calculation model optimization system, which comprises a data interface for acquiring raw material parameters and data containing environmental stress factors; the memory stores a heterogeneous neural network model, and comprises a first time sequence convolution subnet, a second cascade processing subnet and a global gating distribution unit which are arranged in parallel and are coupled through a lateral suppression channel; the processor operates the model, the global gating distribution unit is used for dynamically adjusting the computing power weight between the subnets according to the system energy state tensor, and back propagation iteration is carried out based on a nonlinear constraint penalty term. The problems of convergence difficulty and negative migration when a general model processes high-dimensional strong-coupling biological data are solved, and the prediction precision and safety of formula optimization are improved.

The invention discloses a virtual interaction training method and device for a visual reconstruction brain-computer interface, and the method comprises the steps: generating a virtual reality scene, and extracting an importance representation related to a current task in the virtual reality scene; key visual information is extracted, and the key visual information is mapped to the spatial position of the cortex electrode array through a preset visual field-cortex topological mapping model; converting the mapped key visual information into space-time stimulation parameters of the cortical electrode based on a pre-acquired individualized perception function constraint; collecting behavior data of task execution of the user under the spatio-temporal stimulation parameters to calculate a behavior error comprehensive score; and dynamically adjusting difficulty parameters of the task according to the behavior error comprehensive score so as to complete closed-loop adaptive training. The problems of single training scene, subjective parameter adjustment, system closed-loop deficiency and insufficient evaluation standards are solved, and personalized and quantitative evaluation, safety and high efficiency of visual reconstruction brain-computer interface postoperative rehabilitation training are realized.

The invention provides a grouting-curing-intercepting cross-cut rapid coal uncovering method, and relates to the technical field of cross-cut coal uncovering. The method comprises the steps that drilling topological mapping is conducted on a target area, a connected gas interception and extraction network is constructed, and gas attenuation characteristics are extracted to determine a grouting permeation resistance coefficient; then, a high-pressure grouting dynamic pressurization gradient sequence is formulated, and an in-situ test execution unit is configured in a negative pressure guide reserved area; establishing a process response state diagram containing bag strength, sieve tube smoothness and crack filling test nodes, generating an optimal grouting path by adopting closed-loop feedback logic, and collecting a multiphase flow grouting response data set; and finally, generating a complete solidification curtain map by using the data set, executing a solidification-gas interception collaborative verification decision, and outputting a safe coal uncovering instruction. By means of digital closed-loop control, accurate solidification of superfine cement on coal seam microcracks and efficient interception and extraction of gas are achieved, and the safety and operation efficiency of cross-cut coal uncovering are remarkably improved.

This invention discloses a comprehensive management method and system for base station power consumption, belonging to the field of base station power consumption. The method includes: topological mapping of the access relationships of AC / DC equipment within the base station to form a hierarchical power consumption association list; dynamic clustering parsing of the list to generate a time-series evolution chain reflecting state changes and remote control history; constructing a device differentiation identification model based on the time-series evolution chain, determining abnormal metering factors and outputting candidate correction events; labeling the corresponding areas of the candidate events as local anomalies, and generating a correction reference group by fusing multi-source information such as meter readings and sensor data; dynamically iteratively correcting the global metering results based on the correction reference group, and generating intelligent management instructions by combining the corrected load sharing ratio and branch authorization strategy. The system includes corresponding functional modules. This invention can systematically solve the problems of unclear base station power consumption topology, inaccurate metering, and extensive management, achieving high-precision metering and automated intelligent control.

The invention relates to the technical field of body sensing, in particular to a body intelligent super-flexible wire harness sensing system, which comprises a fiber response acquisition module, a state monitoring and correction module, a feature fusion module, a topological field reconstruction module and a control instruction generation module. According to the method, accurate extraction of the fiber response points is achieved through comparison of differential operation and the reference displacement, the bending position and angle change can be recognized in time and corrected in the threshold exceeding state, noise in signal transmission keeps stable after being weakened through a numerical method, and the stability of the fiber response points is improved. Further performing weighted integration on the deformation characteristics in multi-scale fusion to enable touch and deformation information to form continuous mapping under the same perception distribution, and finally positioning an action center through a probability model and outputting a topological mapping image, so that accurate capture and spatial position identification of an external force peak value can be realized in a complex environment, and the accuracy of the external force peak value is improved. And the sensitivity of the flexible wire harness to fine mechanical changes and the integrity of global perception are improved.

The invention relates to the technical field of ship communication signal processing, and discloses a ship communication signal quality detection method for automatic detection. The method comprises the following steps: hierarchically decomposing a captured original communication signal to obtain a discrete signal data unit group; constructing a spatial distribution map of the signals through topological mapping of the vector features, and identifying a main signal core area according to a density gradient and a vector field streamline in the map; tracking a signal energy diffusion path along a vector field streamline, positioning discontinuous nodes on the path, and aggregating to form a suspected interference signal cluster according to the discontinuous nodes; performing morphological consistency verification on the signal clusters, and separating interference components and effective signal components from the atlas; the effective signal components are recombined to reconstruct a communication waveform, and quality measurement and analysis are performed based on the waveform to generate a quantized quality report. According to the invention, accurate positioning and separation of interference components can be realized, and objectivity and accuracy of ship communication signal quality evaluation are improved.

The invention provides a land use scale prediction method based on weight calculation, and relates to the technical field of data processing, and the method comprises the steps: carrying out the space resource calling of a target space data set, and obtaining a space data list; performing spatial topology mapping on the spatial data list to obtain a spatial adjacency matrix; performing spatial weighted updating on the data nodes to obtain mutual plastic feature vectors; performing similarity evaluation on the mutual plastic feature vectors to obtain a similarity weight coefficient, and performing weighted correction on the spatial adjacency matrix to obtain a mutual plastic adjacency weight matrix; carrying out topological structure analysis on the intermodeling adjacent weight matrix to obtain spatial structure characteristics; performing feature-structure collaborative weight distribution on the data nodes to obtain an initial weight distribution field; carrying out compatibility weighted correction on the initial weight distribution field to obtain an optimized weight distribution field; carrying out space overall planning on the optimized weight distribution field to obtain a scale scheme; according to the invention, the efficiency of land scale prediction based on weight calculation can be improved.

The application relates to the technical field of electric power information communication, and discloses an abnormal behavior detection method and system for an electric power information communication network, which comprises the following steps: collecting traffic data and node connection information in real time, adopting a topological mapping algorithm to construct a network topological representation; analyzing data packet timestamps and source address features based on the representation to determine abnormal indexes; extracting relevant data packet sequences, simulating a propagation process through a path tracking algorithm to obtain a preliminary path; cross- verifying in combination with node position data to determine an abnormal initiation position; obtaining adjacent node logs according to the abnormal position and comparing data packet features to determine a propagation expansion direction; and tracking variation records of data packets in a dynamic network to obtain a complete propagation track. The application can realize accurate and complete abnormal behavior tracking and positioning through real-time topological modeling, multi-dimensional feature analysis, path simulation and cross-verification.

This invention relates to the field of power cable testing technology, and discloses a method and system for detecting cable dimensional parameters based on point cloud feature registration. The method includes: acquiring multispectral image signals; obtaining the light trace energy matrix through physical simulation; constructing an error fingerprint database by combining topological mapping; performing semantic segmentation on the image signals to obtain a probability segmentation mask; calling the fingerprint database to obtain a correction matrix and extracting the original sub-pixel point cloud; performing confidence assessment based on environmental stress parameters to obtain a weighted confidence feature set; performing geometric center alignment to output the cable geometric center set, and then extracting the dimensions to obtain the cable cross-section measurement results. This invention achieves digital decoupling of stress-induced optomechanical coupling pseudo-drift, solves the technical problems of numerical jumps in insulation thickness and deviations in eccentricity calculation, and improves the confidence and measurement accuracy of cable cross-section configuration reconstruction under complex mechanical stress conditions.

The invention discloses a single-line sketch forming method and device, equipment and a medium. The method comprises the steps that a reference position corresponding to a first topological node is calculated according to a first topological mapping relation, first equipment information and a preset step length; based on the reference position, space boundaries occupied by the device primitive and the device name are calculated respectively, a first coordinate corresponding to the device primitive and a second coordinate corresponding to the device name are obtained, a third coordinate corresponding to the note information is calculated, and the device name is a name processed according to a truncation rule associated with a preset step length; generating a single line sketch according to the first coordinate, the second coordinate, the third coordinate, the equipment primitive, the equipment name and the note information; and analyzing the single-line sketch according to an image renderer corresponding to the power distribution network system, and displaying the single-line sketch through a display end corresponding to the power distribution network system. According to the embodiment of the invention, the overlapping of the single-line sketches can be reduced on the basis of quick response, so that the mapping effect of the single-line sketches is improved, and the requirements of the single-line sketches are met.

The application relates to the technical field of electric digital data processing, and discloses a multi-dimensional data logic processing method based on an artificial intelligence algorithm, which comprises the following steps: receiving a target discrete data packet, extracting metadata and calculating a dimension entropy feature vector representing data logic complexity; inputting the vector into a preset topological mapping model to output an initial adjacency matrix; calling a feedback inhibition mask matrix generated based on a historical operator utility state, performing bitwise logical AND operation on the initial adjacency matrix to generate a corrected effective topological matrix; analyzing the matrix, dynamically indexing a logical operator function pointer in an instruction cache, and constructing a directed acyclic execution linked list; and driving a processor to sequentially call logical operator execution operation, wherein the application determines redundant logic nodes in AI prediction through a bitwise operation mask mechanism based on historical feedback, realizes the deterministic convergence of processing delay and the optimal matching of algorithm resource.

The application relates to the technical field of underground pipe gallery asset management, and discloses a BIM-driven underground pipe gallery asset dynamic management and emergency decision-making platform, which comprises the following: a dynamic topological mapping module, which realizes dynamic grid density adjustment of a BIM model by monitoring an environmental parameter change rate, and generates a logical topological network in real time, which is synchronous with a physical pipe gallery structure; an asset state reverse derivation unit, which reversely deduces asset deterioration based on environmental data by using a physical law library loaded dynamically in a time domain; a logic rule self-triggering engine, which constructs a multistage response rule chain containing time and space prediction, and optimizes an emergency plan; and an edge-cloud collaborative architecture, which realizes real-time decision-making with low bandwidth dependence through intelligent caching and asynchronous incremental synchronization. When the dynamic topological mapping is driven by the environmental parameter change rate, the real-time state of the underground pipe gallery can be more finely characterized, and a high-reliability data basis is provided for subsequent accurate analysis and decision-making.

The application belongs to the technical field of water affairs water meter, and provides a water affairs metering processing method and device based on water receiving point entity, a server and a computer program product. Firstly, a ternary topological mapping relationship among a user, a water receiving point and a water meter is determined; when a water meter replacement event is detected, a target water receiving point commonly associated with a replaced first water meter and a newly installed second water meter is determined; cumulative water quantity of the target water receiving point in a time period crossing the water meter replacement event is calculated, and continuous cumulative water quantity data of the target water receiving point is updated; when a user transfer event associated with the target water receiving point is detected, a time when the transfer takes effect and cumulative water quantity at the time when the transfer takes effect are recorded, the cumulative water quantity at the time when the transfer takes effect is segmented, and is respectively associated to corresponding users before and after the transfer. Further, systematic defects such as metering benchmark fracture, historical data fragmentation and responsibility boundary blurring caused by the water meter replacement event and the user transfer event in the prior art are solved.

The invention relates to the technical field of electrical digital data processing, and discloses a self-adaptive impedance control method and system based on myoelectricity and motion intention recognition, and the method comprises the steps: obtaining a multi-channel bioelectricity time sequence data stream, and constructing a phase synchronization adjacency matrix; performing active perturbation verification on the adjacent matrix by using a random perturbation matrix, and calculating a data structure vulnerability index to verify the numerical topology stability; after confirming that the von Neumann atlas is stable, calculating von Neumann atlas entropy based on a full-spectrum eigenvalue sequence of a Laplacian matrix; and converting the map entropy value into a target interaction stiffness logic parameter by using a preset nonlinear mapping function, and outputting the target interaction stiffness logic parameter. By constructing a data stream topological mapping and active perturbation verification mechanism, the interference of non-stationary random signal drift on parameter generation is eliminated; and data structure self-certification and control parameter stability decoupling under a low signal-to-noise ratio working condition are realized.

This invention relates to the field of natural language processing technology, specifically to an intelligent template generation method based on dual-document comparison. The method includes: receiving a benchmark and comparison document, performing parsing and matching, and outputting a benchmark model tree, difference features, spatial coordinates, and offset matrix; constructing a text dependency graph by performing topological mapping combined with lexical boundaries, and extracting and concatenating a multi-dimensional joint tensor; inputting the tensor into a semantic network to generate and verify labels, and fusion the multi-dimensional output mapping data structure; parsing the structure to extract logical placeholders, replacing the difference nodes of the benchmark tree according to coordinates to generate a constraint tree, and finally serializing and outputting a structured document template. This invention constructs a closed-loop end-to-end system from low-level physical offset extraction, mid-level topological semantic calibration to high-level template serialization output, improving the system stability and data flow consistency during automated processing of complex typed documents.