50results about How to "Avoid ambiguity" patented technology

The invention discloses a discrete manufacturing multi-view BOM dynamic derivation method and system based on a tree-shaped network structure, and belongs to the technical field of intelligent manufacturing and product data management. The method comprises the following steps: constructing a tree body as a single product data source, and storing a hierarchical relationship, attribute definition and engineering semantics of a product in a tree structure; based on the tree body, dynamically matching derivation rules through a mesh mapping relation library; executing rule matching, semantic verification, structure reconstruction and dictionary verification by utilizing a dynamic view derivation engine to generate a target BOM view; semantic constraint and verification are carried out on the derivation process through a BOM data dictionary module; and realizing access control and audit based on role, scene and data sensitivity through the security and authority control module. According to the method, a new generation of xBOM dynamic derivation architecture which takes a tree form as an ontology, takes a net form as mapping, is configurable in rule and is strong in data specification is constructed; the fundamental problem of discrete manufacturing multi-view BOM management is solved, and engineering rationality and service flexibility are both achieved.

The invention discloses an online monitoring alarm network system based on a lightning protection environment, and relates to the technical field of lightning protection monitoring, and the system comprises a data collection module which is disposed at an offshore wind power plant and is used for collecting multi-dimensional data including salt mist concentration, wind speed, lightning parameters and lightning protection equipment state parameters; the data processing module is in communication connection with the data acquisition module and is used for receiving, fusing and analyzing the multi-dimensional data, performing scoring calculation by constructing a quantitative scoring model and endowing each dimensional parameter with a weight, and outputting a quantitative risk level according to a total score interval judgment mode; the early warning and linkage module is in communication connection with the data processing module and is used for executing graded early warning and linkage control based on the risk grades; the data processing module is further used for calculating the health state index of the SPD and dynamically predicting the remaining effective life of the SPD based on the health state index and the real-time environment parameters. The system has the functions of self-adaption to environment change and lightning protection monitoring and early warning.

The invention relates to the field of multi-robot cooperative scheduling, and discloses a multi-robot cooperative scheduling unmanned underground mechanical garage system and method, and the system comprises a hardware subsystem which comprises a transfer robot, a parking space frame, a vertical elevator, and an entrance and exit junction area; the control system is deployed in the central control server, and the control system comprises a multi-layer dynamic data grid generation module which is used for constructing a discretized data grid corresponding to a garage physical space; and the central data calculation module is used for continuously updating the data of each data layer in the multi-layer dynamic data grid according to the real-time state of the garage. In the regional congestion degree and traffic control layer, the congestion index is calculated according to the density, the speed variance and the dispersion in the movement direction of the transfer robot, and the task gravitation modulation coefficient is generated, so that the tendency of the robot to enter the crowded region is reduced, the adaptive dispersion of the traffic flow is promoted, and the continuity of garage operation is maintained.

The invention relates to the technical field of logging, in particular to a method for calculating formation pressure while drilling through a corrected dc index model, terminal equipment and a storage medium, and the method comprises the four steps of formation pressure or formation pressure coefficient modeling, target well formation pressure coefficient back calculation, dc index correction calculation and formation pressure calculation. The method comprises the following steps: calculating formation pressure by adopting logging information before drilling, establishing a seismic formation pressure inversion model, calculating a dc correction index by adopting inversion during drilling, and establishing a relation model with the formation pressure according to an Eaton model; by comprehensively utilizing earthquake, logging and formation pressure coefficient data, a formation pressure model conforming to a regional formation pressure distribution rule is established, and the formation pressure of a target well is calculated more accurately by correcting a d index. According to the method, the prediction precision of the formation pressure is improved, and an important reference basis is provided for drilling engineering.

The application discloses a simulation method for quantitatively predicting gas seepage and crater formation evolution process in a hydrate area and related equipment, and the method comprises the following steps: obtaining three-dimensional seismic data of a target area, and obtaining thickness data through layer velocity modeling and time-depth conversion; based on the thickness data and pre-acquired physical parameters, a first quantitative relationship between gas column growth rate and seepage velocity is quantified by using Darcy's law; based on the first quantitative relationship, a second quantitative relationship of gas migration time is obtained through integral method processing; the first quantitative relationship and the critical condition of quicksand are solved together to obtain a third quantitative relationship of crater depth, and then a crater space form constraint is constructed; and based on the crater space form constraint and the pre-acquired average methane flux, the total methane flux of the target area is simulated. The application can realize physical constraint quantitative prediction of deep fluid seepage process and crater formation evolution, and can be widely applied to the technical field of data processing.

The invention provides a method for analyzing the influence of power coupling characteristics on a power grid side. The method is suitable for a novel power system connected with high-proportion new energy and power electronic equipment. The method comprises the following steps: firstly, based on a ZIP model, combining two types of load parameter characteristics to derive four types of coupling characteristics of active power-reactive power of a load side; combining a Newton-Raphson power flow equation, and analyzing an influence mechanism of the Newton-Raphson power flow equation on a power grid side through a Jacobian matrix; then, the influence degree and the causal direction are quantified through inverse information entropy causal reasoning; and finally generating a power grid regulation and control reference scheme. According to the invention, accurate analysis and quantification of coupling influence are realized, and powerful support is provided for safe, stable and economical operation of a novel power system.

The present application relates to the technical field of electrical system design, and particularly relates to a spacecraft electrical system interconnection component path planning optimization method and system. The method comprises the following steps: obtaining interconnection component data; constructing adjacency relationship according to the interconnection component data to obtain component adjacency data; selecting a beam splitting point according to the component adjacency data to obtain beam splitting point data; estimating point port cost of the beam splitting point data to obtain point port cost data; generating a control linkage graph according to the component adjacency data to obtain control linkage graph data; generating an interpretation field according to the control linkage graph data to obtain interpretation field data; determining the splitting benefit of the point port cost data and the interpretation field data to obtain splitting benefit data; and evaluating the hard constraint of the splitting benefit data to obtain beam splitting point feasibility evaluation data. The present application realizes the constraint of the beam splitting point position and the control semantics, effectively avoids the cross-stage control reversal and redundancy failure problems.

The utility model relates to the technical field of packaging cartons, and discloses a packaging carton with a display function, which comprises a packaging carton body, a flip cover, a base and a display component, the flip cover for sealing the packaging carton body is arranged at the top of the packaging carton body, the base is arranged in the packaging carton body, and the display component is arranged in the packaging carton body. A supporting column is arranged on the base through a connecting piece, a first reinforcing rib is fixedly connected to the supporting column, a second reinforcing rib is fixedly connected to the supporting column, the supporting column supports the packaging carton body through the first reinforcing rib and the second reinforcing rib, a turning frame is rotationally connected to the supporting column, and a plurality of clamping grooves are formed in the packaging carton body. The supporting columns are matched with the first reinforcing ribs and the second reinforcing ribs to disperse impact pressure borne by the packaging carton body, the packaging carton body can better bear the action of various external force, the physical strength of the packaging carton body is guaranteed, the damage resistance is improved, deformation caused when the packaging carton body is pressed or impacted can be prevented, and internal commodities are prevented from being damaged.

The present application relates to a kind of mu imaging detection method and system of multi-data fusion, belong to blast furnace detection imaging technical field.The method includes: through the mu detector arranged around blast furnace, the mu trajectory data of penetration blast furnace is collected;Space reconstruction is carried out based on mu trajectory data, and three-dimensional imaging model representing the density distribution of blast furnace interior is constructed;Multiple source observation data are obtained;Wherein, multiple source observation data at least include thermal data and acoustic data;Based on multiple source observation data and three-dimensional imaging model, construct joint inversion objective function;The joint inversion objective function is solved, and the state imaging distribution based on the three-dimensional imaging of blast furnace is output;Wherein, state imaging distribution includes material density distribution, temperature field distribution.Through the above-mentioned mode, the state parameter acquisition of full dimension, high precision blast furnace interior can be realized, solves the defect that traditional sensor single parameter is not covered completely, and detection precision is insufficient.

The application discloses a kind of intelligent director integrated machine audio and video fusion processing methods for live scene, belong to digital video and audio and video communication processing technical field, it includes obtaining multiple audio and video inputs to carry out demultiplexing and frame processing and record the arrival time delay observation measurement of local processing node, generate multiple media frame sets, carry out identity feature extraction and cross-modal matching, generate cross-modal feature pair with identity binding;According to cross-modal feature pair and arrival time delay observation measurement, generate synchronization calibration quantity;Utilize synchronization calibration quantity to process multiple media frame sets, generate alignment media frame sequence;According to the audio and video quality and synchronous state of alignment media frame sequence, generate director decision;Based on director decision, generate fusion program stream.The application can realize the stable synchronization of live program stream, credible switching and abnormal self-healing output.

The utility model provides a one material one code front and back paper gasket relates to product identification technical field, including gasket body, the gasket body includes paper base material layer, the front of paper base material layer is equipped with first identification code, the back of paper base material layer is equipped with second identification code. The utility model discloses through setting up first identification code and second identification code at the front and back of paper base material layer respectively, realizes double -sided one material one code identification function, even if one side identification code is damaged or is shielded, still can complete the code scanning authentication through the other side, has improved product information identification's reliability and anti -fake ability, and sets up the invisible anti -fake layer on paper base material layer surface, adopts ultraviolet fluorescent ink or temperature change ink coating, has strengthened the professional anti -fake performance of paper gasket, covers waterproof film layer simultaneously in paper base material layer outer layer, has improved the durability of paper gasket in humid environment, prevents two -dimensional code from being hazy or damaging because of damp, has prolonged the service life of label.

An operation method of an apparatus in a wireless communication system and an apparatus using the same are provided. The method includes determining a number (K) of PUSCH repetition transmission, and repeatedly transmitting the PUSCH K times, wherein K is determined based on at least one of a ratio (R FD ) of resources operating in full duplex (FD) among resources allocated for the PUSCH transmission and a ratio (R HD ) of resources operating in half duplex (HD) among the resources allocated for the PUSCH transmission.

The invention discloses a plate strip steel surface defect detection method based on partial multi-label learning, and belongs to the technical field of industrial quality detection and data mining. In order to solve the problem that in the prior art, due to the fact that labeling noise is difficult to eliminate, model robustness is insufficient, a semantic alignment mechanism is introduced, and collaborative modeling is carried out on a sample feature space and a label semantic space. The process comprises the following steps: in a data preparation stage, extracting plate strip steel image features and constructing candidate tags; in the label denoising stage, a partial multi-label learning framework is adopted, label false correlation is eliminated through orthogonal rotation, label reliability is improved through joint projection, a label relation is reconstructed through manifold learning, and finally a denoised discrimination label is obtained. In the classifier training stage, a depth perception classifier is trained by using a discriminant label and an original label; and in the detection stage, defects such as cracks and scratches are identified. According to the method, the detection precision and the anti-interference capability are improved, the dependence on manual labeling is reduced, and reliable support is provided for plate and strip steel quality control.

The embodiment of the invention provides an audio content recognition method and device, electronic equipment, a storage medium and a program product, and the method comprises the steps: obtaining to-be-processed audio data, carrying out the feature processing of the to-be-processed audio data, and obtaining the acoustic features of an audio; coupling the acoustic features of the audio with the text features to obtain coupled features; carrying out orderliness judgment on the coupling features to obtain the matching probability of the text and the acoustic features; the audio content recognition result is output according to the matching probability of the text and the acoustic feature, the acoustic feature of the audio is extracted, the acoustic feature and the text feature are coupled, the matching probability of the acoustic feature and the text feature is judged, and the recognition result is output according to the matching probability, so that the problem of fuzzy recognition caused by direct output of the to-be-recognized text is avoided; compared with a general speech recognition model in the prior art, the consumption of computing resources and a memory is reduced, and the universality of speech recognition is improved.

This invention relates to the field of machine learning technology, specifically to a method and system for intelligent spatial data analysis and decision support based on a large language model. The method includes the following steps: acquiring spatial entities, location phrases, and task descriptions; analyzing word order and modification relationships; extracting task elements and action sequences; constructing continuous semantic paths; identifying geographic terms and range changes; extracting statements whose angle between action instruction direction vectors is less than a preset threshold; and obtaining a set of spatial action structures. In this invention, a semantic task list is constructed by extracting spatial entities, location phrases, and task content. Actions are ordered by combining action words and word order relationships. The connection methods between segments are analyzed, and a coherent task path is organized. The sequential matching and semantic connection between spatial objects and actions are completed. By filtering the information structure of action direction and location changes, task statements are arranged in an orderly manner according to the process, avoiding ambiguity and interruptions in instruction transmission, and maintaining the orderly integration and flow of spatial information.

This invention belongs to the technical field of traditional Chinese medicine processing methods, and discloses a method for processing nine-times-processed Astragalus membranaceus, which is entirely made from medicinal and edible ingredients. The method includes: S1, pretreatment of the main ingredient: taking Astragalus membranaceus slices and drying them at low temperature until the moisture content is ≤12%; S2, adding auxiliary ingredients in eight stages of decoction and drying: adding Poria cocos, Platycodon grandiflorus, Crataegus pinnatifida, Ophiopogon japonicus, Lilium brownii, dried ginger, Perilla frutescens leaves, and Prunus mume to the pretreated Astragalus membranaceus slices for multiple stages of decoction and drying, drying each stage until the moisture content is ≤12%; S3, honey-coated stir-frying, steaming, and shaping: first, stir-frying the Astragalus membranaceus slices dried after the last decoction and soaking with honey solution, then steaming, and allowing them to settle and blend to obtain the finished product. The auxiliary ingredients used in this invention for processing nine-times-processed Astragalus membranaceus are all medicinal and edible ingredients, ensuring high safety; the key parameters for each step are clearly defined, the process is standardized and can be mass-produced; the finished product is sweet and sour, palatable, and replenishes qi without causing dryness; suitable for use in tea, pastries, and infused liquors, among other applications.

The application provides an anisotropic rock mass evaluation method and system based on a directional structure index, and belongs to the technical field of geological engineering, and comprises the following steps: obtaining internal strength factor data, structure strength factor data and boundary condition factor data of a rock mass to be evaluated; calculating internal strength factor rating Ri; constructing a directional weight function W(θ); calculating structure surface comprehensive condition rating Jc, and directionally correcting the rock quality designation RQD value of a drill hole to obtain a directional structure strength index DSSI(θ) through coupling calculation; calculating boundary condition factor rating Bc; calculating a directional rock mass quality comprehensive index D-RMR(θ) and calibrating the original value of D-RMR(θ); generating a visual representation map by taking the calibrated D-RMR(θ) value corresponding to different direction angles θ; and evaluating the quality grade of the rock mass to be evaluated. The application can accurately and quantitatively reveal the directional characteristics of anisotropic rock mass, effectively avoid distortion of key parameters, and has the advantages of high accuracy, strong practicability and intuitive results.

The application discloses a gravity and magnetic inversion method based on grid merging and BTTB matrix fast forward, relates to the technical field of gravity and magnetic exploration, and comprises the following steps: establishing a basic forward and inversion grid and a basic grid kernel function matrix; initializing a coarse grid model and a conversion matrix; coarse grid inversion; adaptive grid subdivision based on a model gradient and establishment of a new conversion matrix; fine grid inversion; iterative convergence and output. The application has the beneficial effects that the BTTB kernel function matrix is calculated based on the basic grid in advance, the conversion from fine scale model parameters to coarse scale model parameters is realized through the conversion matrix, the iterative closed loop process of coarse grid inversion, adaptive grid subdivision and fine grid inversion is adopted, the criterion of adaptive grid subdivision is to compare the gradient eigenvalue of the current inversion model parameters with a preset threshold value, and in the grid inversion of different scales, the BTTB kernel function matrix generated by the same set of basic grid in advance is used to realize fast forward through the processing of the conversion matrix.

The invention provides a river network water engineering scheduling method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining river network basic data, determining a key control point and a safety threshold value, and building a joint probability distribution model of uncertain parameters; generating a random scene set based on the model, and obtaining a response result of the key control point through hydrodynamic simulation; the sample frequency of the key control point meeting the safety threshold value is counted, the confidence lower bound of the key control point under the given confidence level is calculated, and the condition that the confidence lower bound is not lower than the target safety level serves as the satisfaction condition of the probabilistic safety constraint; when the confidence lower bound is lower than the target safety level or the confidence interval width exceeds a preset threshold value, adding a random scene and repeating until the constraint is met or the sample upper limit is reached; and solving the optimization model generation scheduling scheme taking the water engineering operation parameters as decision variables under the condition of meeting the constraint, and executing the scheme. By adopting the method, the probabilistic safety guarantee reliability, the calculation efficiency and the real-time closed-loop adaptability of river network water engineering scheduling can be improved.

The application discloses a kind of science and technology overloading non-field law enforcement equipment, belong to traffic management technical field.The science and technology overloading non-field law enforcement equipment, through infrared monitor, vehicle is monitored, and whether piezoelectric film sensor is detected vehicle is overweight, in overweight case, cooperate vehicle marking spray assembly and spray dangerous warning sign to vehicle rear, then can automatically mark overweight vehicle, facilitate remind other vehicles, and it is beneficial to road police to know overweight vehicle quickly, facilitate vehicle interception, secondly in rainy weather, with rainwater into water storage tank increases, press-down component controls telescopic rainproof assembly to be unfolded, telescopic rainproof assembly is shielded to piezoelectric film sensor, reduce the influence of rainwater on detection accuracy, maintain good detection environment, and water flow driving assembly drives transparent cylinder rotation can keep circumferential surface is realized automatic cleaning operation in rainy day by clean strip, avoid monitoring image to appear fuzzy, and it is beneficial to clean.

The invention discloses a multi-view 3D target detection method and device based on space-time alignment and a storage medium, and belongs to the field of target detection. The method comprises the following steps: receiving a multi-view image of a current frame; re-projecting a 2D detection result and a 3D detection result from at least one historical frame to each view image plane of the current frame based on a camera geometrical relationship through a space-time target prior propagator, and generating a space-time target prior image; fusing the space-time target prior image and the multi-view image features of the current frame through a space-time geometric encoder, and outputting a space-time geometric feature map; performing 2D target detection on the space-time geometric feature map to obtain a 2D detection result of the current frame, and performing depth estimation on the multi-view image of the current frame to obtain corresponding depth information; based on the 2D detection result and the depth information, constructing a 3D query of the target center through a target center query generator; and inputting the 3D query into a 3D detection head, and outputting a 3D target detection result of the current frame.

The invention belongs to the field of new energy, relates to a charging pile energy efficiency optimization technology, is used for solving the problem that in the prior art, power control logic based on isolated voltage sensing has fundamental defects when coping with group interaction behaviors in a multi-pile coexistence scene, and particularly relates to a charging pile energy efficiency self-optimization system based on multi-modal AI. Comprising a data acquisition module, a feature calculation module, an intermediate state mapping module, a dynamic modulation module, a power adjustment amount calculation module and an execution and broadcast module. According to the method, the linear fitting in the preset time window is carried out on the real-time power sequence of each neighbor charging pile, the power change rate of each neighbor charging pile is accurately calculated, the number of the charging piles with the power change being the positive value and the negative value is further counted, and the consistency of the neighbor charging pile group in the power adjustment direction can be accurately quantified.

The application discloses an AIOps anomaly detection and root cause positioning method and relates to the technical field of anomaly detection. The method comprises the following steps: step 1: in a unified timeline, preset time windows are processed according to services and instances, monitoring class anomaly segments are generated for monitoring indexes, and client and server spans in distributed tracking are extracted for segment pairing; step 2: stitching is performed according to the distributed tracking to obtain a candidate evidence chain set, and the last segment of each evidence chain unit is used as a candidate root cause pointing; step 3: a root cause list is output according to a certainty rule for the candidate evidence chain set, and relevant template text and the time range of adjacent monitoring class anomaly segments are given. The application can accurately identify an abnormal propagation path in multi-source heterogeneous data, verify the correlation between upstream manifestations and downstream resource failures, and provide an explicit root cause target and evidence interpretation.

This invention relates to the field of image processing technology, specifically to an automated processing method and system for ancillary results of multi-source remote sensing imagery. The method includes: parsing and extracting core parameters such as side viewpoint, temporal phase, and data source type for each remote sensing image from the original metadata file set, generating a set of structured metadata objects; generating a set of standard scene numbers based on the data source type, track number, and image acquisition time information in the structured metadata object set; and batch-producing the full-scene image metadata files, projection information files, and coordinate information files for each remote sensing image based on the completed full-scene image set, standard scene number set, and structured metadata object set, thus obtaining an initial set of ancillary results. This invention, by parsing and extracting core parameters and generating a set of structured metadata objects, provides a unified, accurate, and machine-readable data source for all subsequent automated steps, eliminating production errors caused by misunderstandings of metadata at the source.

This invention provides a radio frequency (RF) control method for a plasma cavity, comprising: S1, obtaining the correspondence between the spectral intensity ratio of etching plasma and deposited plasma and the partial pressure ratio of etching gas and deposited gas; S2, at time t1, introducing deposited gas into the plasma cavity, detecting the spectral intensities of the etching gas and deposited gas in the plasma cavity, obtaining the spectral intensity ratio, obtaining the partial pressure ratio according to the correspondence, and feeding a first RF power into the plasma cavity when the partial pressure ratio meets a first threshold; S3, at time t2, introducing etching gas into the plasma cavity, detecting the spectral intensity, obtaining the spectral intensity ratio, obtaining the partial pressure ratio according to the correspondence, and feeding a second RF power into the plasma cavity when the partial pressure ratio meets a second threshold. The method of this invention can clearly define the states of the etching gas and the deposited gas.

The application relates to the technical field of software development, in particular to a development man-hour estimation method and system based on a function dependency graph. The method comprises the following steps: constructing a requirement function dependency graph, wherein a node represents a function module, a directed edge represents a dependency relationship between the function modules, and each directed edge carries a dependency coefficient; in response to a received change application of a development project, determining a node set of a direct change node corresponding to a function module that has changed; performing influence propagation traversal based on topological sorting on the requirement function dependency graph, automatically inferring all indirectly affected nodes according to the dependency coefficient, and combining the directly changed node set and the indirectly affected nodes to form an affected node set; and calculating the differential man-hour of each node in the affected node set. The development man-hour estimation method based on the function dependency graph can automatically, comprehensively and objectively estimate the man-hour in the development process.

This application provides a method, apparatus, and electronic device for processing prompt words using a large-scale language model. The method includes: automatically generating initial prompt words using a large-scale language model; performing synonym replacement processing on words in the content information corresponding to each content module to obtain first candidate prompt words; reconstructing sentences in the content information corresponding to each content module to obtain second candidate prompt words; updating the module structure of the content modules in the second candidate prompt words based on the model output to obtain third candidate prompt words; extracting common information from the content information in the third candidate prompt words, and updating the third candidate prompt words based on the extracted common information to obtain fourth candidate prompt words; and scoring and optimizing the fourth candidate prompt words to obtain the target prompt word. This application can automatically generate prompt words and can comprehensively improve the prompt words from the text level to the structural level, thereby improving the accuracy of the prompt words.

This invention discloses an online monitoring and early warning method for printed content, relating to the field of printed content monitoring and early warning. The method includes: extracting character edge contours and skeleton features to calculate character distortion; comparing the identified text sequence with the original printed design character by character, performing semantic analysis on candidate deviation positions using natural language processing to identify printed text deviations, and then matching the identified text with an infringement content feature database; if infringement content is found, triggering an infringement warning; locating the ink color detection area based on the gradient amplitude of pixel points in the printed image and calculating the ink color shift difference; continuously collecting the character distortion, the number of occurrences of printed text deviations, and the ink color shift difference of the same batch of printed materials to predict the content quality trend of subsequent printed materials in the batch, triggering a batch warning when quality risks exist. This method can provide early warning and guide equipment adjustments before printing quality defects accumulate to exceed limits.

The invention relates to the technical field of image recognition, in particular to an intelligent fry grading method based on multi-modal data fusion and deep learning, which comprises the following steps of: inputting a fry adhesion image, and calculating a two-dimensional direction vector pointing to a center line of a fry instance to which the fry adhesion image belongs for each pixel position in the image; according to the method, the direction vector pointing to the center line of the fry instance is constructed for each pixel position in the image, the vector modulus length is set according to the distance from the contour line and the local texture features, the direction field containing the edge affiliation information is formed, and the problems of fuzziness at the object adhesion position, even at the fry contour contact point, of a traditional segmentation method are solved. The directivity of the vector in the field also provides a basis for subsequent individual separation, the divergence is calculated based on the direction field to generate edge response, then multi-scale fractal geometric spectrum analysis is combined, a biological authenticity score is given to each edge point, a real biological contour and noise or artifacts in the image are distinguished, and the accuracy of contour extraction is improved.

The application provides a hydrological measurement and control method and device based on a DSL rule engine and electronic equipment, relates to the technical field of hydrological measurement and control, and comprises the following steps: obtaining user input rules, wherein the user input rules comprise natural language and DSL input rules; performing natural language analysis on the user input rules based on a large model analysis function to obtain a DSL syntax tree; obtaining an intermediate rule tree according to the DSL syntax tree, wherein the intermediate rule tree is used for representing a directed tree or a directed acyclic graph with a hierarchical structure; and performing node-by-node matching on real-time monitored hydrological data according to the intermediate rule tree to obtain a hydrological measurement and control control strategy. The application realizes the improvement of the accuracy of hydrological measurement and control.