964 results about "Information repository" patented technology

The invention relates to the technical field of management and control systems, in particular to a digital intelligence system applied to collaborative management and control of water-power engineering construction participating units, which comprises a project data management module covering water-power engineering construction full life cycle management, extracting multi-source information data from various subsystems, and constructing a project view and a project management information base; the project risk analysis module is used for constructing an intelligent risk analysis model for risk analysis and generating a dynamic evaluation result, a graded early warning notification and an auxiliary decision scheme; the project collaborative management module is used for processing graded early warning notification and auxiliary decision-making schemes by using a multi-layer perceptron model, and generating finalizing service achievements and management process records; and the project document management module is used for performing compliance automatic checking and processing on the electronic documents needing to be archived, and dynamically updating and optimizing the project management information base. Through the closed-loop management and control system, the cooperative management and control efficiency of water-power engineering construction participation units is improved.

The invention relates to the technical field of energy scheduling, and discloses a smart city energy dynamic scheduling system and method based on big data analysis, and the method comprises the following steps: the operation state of a transformer substation, the basic parameters of a charging pile and regional load prediction data are collected in real time, data cleaning and abnormal value filtering are carried out; constructing a complete power grid-charging facility dynamic information base; calculating the power supply margin of each region based on the capacity loss of the faulty transformer substation, establishing a weight scoring system of charging pile power adjustment in combination with the charging demand urgency, and determining the reduction or recovery priority of each charging load; and generating a charging pile power adjustment instruction through a multi-target optimization model, and iteratively correcting a power distribution scheme and generating a final scheduling instruction set by taking minimization of user satisfaction loss as a target while meeting the power grid capacity. According to the invention, by constructing a dynamic response mechanism and a multi-target collaborative optimization model, accurate and rapid regulation and control of the traffic load are realized in the scene of sudden power shortage of the power grid.

The invention relates to the technical field of network security, in particular to a dynamic access blocking method based on zero trust. Comprising the following steps: step 1, collecting whole network flow data in real time in a bypass monitoring mode through a flow mirroring function of a network switch, performing deep packet inspection analysis on the collected original flow data, and extracting network flow characteristic parameters; 2, maintaining a dynamic identity information base; 3, performing real-time behavior analysis on each network session; 4, according to the risk assessment result and the real-time security context, generating a dynamic access control strategy based on a minimum permission principle; 5, implementing access control at the network execution point; and 6, continuously monitoring the network flow and the strategy execution effect, collecting feedback data, optimizing the risk assessment model and the strategy generation algorithm based on the feedback data, and forming closed-loop control. By dynamically updating the identity and asset information, the system can identify new assets or changes in real time, so that the adaptability and response capability of a network environment are improved.

The invention relates to a visual target tracking method utilizing time sequence prompting and track guiding, and discloses a visual target tracking method utilizing time sequence prompting and track guiding. Firstly, a historical information prompt network is provided, a Mama module is adopted as a feature extractor, fine-grained features of a predicted target are extracted from a current frame and stored in a historical information base, and comprehensive and accurate historical information prompts are provided for subsequent frames to assist target matching. Secondly, proposing a trajectory regression network, constructing a unified coordinate system by fully utilizing trajectory information of a target in a previous frame through a trajectory regression decoder, and assisting a current frame to complete prediction of a bounding box; by fusing the static appearance information and the dynamic trajectory clues, the matching precision and prediction robustness in the target tracking task can be effectively improved.

The invention relates to the technical field of artificial intelligence, in particular to a business contract intelligent review and risk quantification method and device, and the method comprises the steps: building and maintaining a business contract key term information base; obtaining and preprocessing a to-be-rechecked contract text; processing the text based on a bidirectional long-short term memory network and a conditional random field model, and extracting semantic representation; identifying key information through a multi-level attention mechanism; executing multi-label learning to classify and identify clause types and attributes; utilizing a dependency syntactic analysis technology to extract logical association and a responsibility chain among terms, and constructing a knowledge graph; identifying risk terms and generating risk prompts; business indexes are extracted, and risk open values are calculated; generating a rechecking report; the corresponding device comprises nine functional modules such as an information base management module, a text preprocessing module and a semantic representation extraction module, risk terms in a contract can be automatically recognized, a quantitative risk assessment result is provided, and contract auditing efficiency and accuracy are effectively improved.

The invention relates to a work order material intelligent tracking and dynamic updating system based on multi-source data fusion. The system comprises an acquisition module, a tracking module, an updating module, a man-machine interaction module and a storage module, the acquisition module is used for acquiring work order information from a bill of material, scheduling information and inventory and supplier data, and constructing a material data model; the tracking module monitors material inventory, consumption and material shortage risks based on the model, and realizes automatic state updating and graphical path recording in combination with bar code recognition and ambiguity analysis; the updating module predicts material requirements through a machine learning algorithm, optimizes a distribution plan and outputs a dynamic report; the interaction module supports multi-format data import, unstructured field classification and interrupted operation control; the storage module ensures credible synchronization and tamper-proofing performance of data among different systems through a block chain technology; according to the invention, high-efficiency management and dynamic allocation of work order materials can be realized in an environment without an MES system, and the production transparency and the resource utilization efficiency are improved.

The invention provides an SQL statement analysis method and device, equipment and a storage medium, and relates to the technical field of databases. According to the specific scheme, the method comprises the steps that SQL statements and metadata thereof are obtained, wherein the metadata comprises table names, column names and predicates of the SQL statements; target statistical information corresponding to the metadata is obtained from a preset statistical information base, and the target statistical information comprises table statistical information, column statistical information and index statistical information. And loading the statistical information to a test environment database to obtain a simulation database corresponding to the SQL statement. And based on the statistical information, determining an execution plan of the SQL statement, and executing the SQL statement in the simulation database according to the execution plan to obtain a statement analysis result. The method can effectively solve the problem of analysis distortion caused by the distribution difference of test and production environment data, and can obtain a more accurate SQL analysis result without complex data preparation.

The invention relates to the technical field of process scheme generation, and discloses an intelligent scheme reasoning generation method based on a process knowledge graph, and the method comprises the steps: firstly collecting multi-source process data, constructing a knowledge element extraction system, and outputting standardized knowledge entries through semantic analysis; establishing a process knowledge graph, and when a scheme reasoning demand is detected, positioning a target knowledge node through a logic association algorithm and generating an association relationship label; meanwhile, constructing a historical scheme case information base, and dynamically recording reasoning to generate a record; establishing a multi-dimensional weight configuration model, calculating a scheme matching degree score, and generating a recommendation priority sequence; solving an optimal scheme reasoning result by adopting an improved ant colony algorithm; and finally, outputting a result through the interactive verification platform, tracking and feeding back. The method improves the efficiency and quality of process scheme generation, and is suitable for process scheme formulation in industrial production.

The invention discloses a commodity receiving method and system based on digital twinning, belongs to the technical field of industrial internet and supply chain management, and aims to solve the technical problems of non-transparent information, tedious process, low efficiency, difficult inventory management and lack of effective monitoring in traditional commodity receiving. According to the technical scheme, data collection and twinborn modeling are carried out, specifically, digital and intelligent management of commodity receiving is achieved by building real-time mapping of a physical warehouse and a virtual twinborn body, multi-source data of material information, inventory data and position information of the physical warehouse are collected through Internet of Things equipment, and after cleaning processing is carried out, the real-time mapping of the physical warehouse and the virtual twinborn body is carried out; a three-dimensional modeling technology is adopted to construct a virtual twinborn body, and the consistency of the virtual twinborn body and a physical warehouse is ensured through a dynamic updating mechanism; real-time data processing and synchronization; intelligent receiving is realized; inventory monitoring and prediction; and performing user management and authority control.

The invention provides an intelligent question and answer method and device based on large model multi-source information fusion and electronic equipment, relates to the technical field of computers, in particular to the fields of big data, intelligent search and the like, and can be used for application scenes such as intelligent question and answer. According to the specific implementation scheme, pre-retrieval is conducted from a data table structure information base and a data table field information base according to a user problem, and a pre-retrieval result is obtained; retrieving from a business knowledge base, a business rule base and a question number template base according to the user question to obtain a knowledge enhancement result; according to the pre-retrieval result and the knowledge enhancement result, utilizing a query instruction generation model to obtain a query statement; and querying from the data table set according to the query instruction to generate an answer corresponding to the query word. The scheme can improve the professionality of intelligent questioning and answering, and is suitable for application scenes of various industries.

The invention relates to a multimodal transport cargo tracking method and device, equipment and a medium. According to the method, a standardized data set containing time-space attributes is generated by obtaining original circulation data of different transportation modes and hub nodes; on the basis of the timestamp continuity of the data set, constructing a cargo circulation association graph marked with transportation mode switching points; performing path feature clustering according to continuity identifiers in the map, and generating a standard path template library in combination with a geographic information library; matching and identifying a common path section through a real-time cargo track and a template library to form a cargo grouping tracking label; when the transportation duration in the group exceeds a threshold value, calculating an alternative path combination and outputting a track correction instruction; and generating a track synchronization instruction based on the instruction simulation resource topological relation, updating the association graph and outputting a dynamic track report. Continuous visual tracking of goods in the whole transportation process is achieved, the track path is automatically corrected under the abnormal working condition, and the timeliness and accuracy of logistics state feedback are improved.

The invention discloses a cultural heritage file multi-dimensional storage system, which relates to the field of cultural heritage digital protection and intelligent storage and comprises a data acquisition and processing module, a double-library management module, a multi-dimensional index retrieval engine, a security and convergence module and a backup and disaster recovery module. According to the method, structured texts and unstructured files are uniformly accessed through various interfaces, a special tool chain is adopted for format standardization, audios and videos are transcoded into an H.264 / AAC format through FFmpeg, images are subjected to resolution adjustment and compression through ImageMagick, plain texts are extracted from texts through ApacheTika and are converted into UTF-8 codes, standardized data are uniformly converted into an intermediate format, and the format of the intermediate format is converted into the intermediate format. According to the technical scheme, the method comprises the following steps of: standardizing input data by adopting a three-layer duplicate removal strategy, facilitating other modules to receive data, performing refined redundancy processing on the standardized input data by adopting a three-layer duplicate removal strategy, remarkably reducing storage redundancy, partitioning a cultural heritage data main library according to three layers of ''project type-medium type-age'', and partitioning an inheritor information library according to two levels of ''province-inheritor number prefix''.

The invention relates to the technical field of computer vision, and discloses a vehicle paint make-up color matching method based on computer vision, and the method comprises the steps: collecting a vehicle paint image in real time through an industrial camera, constructing a multi-dimensional color feature extraction system after preprocessing, and building a color feature database through a color space conversion technology; and positioning a target color card by combining a feature matching algorithm. Meanwhile, a historical paint make-up case information base is constructed, a multi-factor weight distribution model is established, an optimal matching scheme is solved by adopting an improved particle swarm optimization algorithm, and finally a result is output through an interactive verification platform and tracked and fed back. According to the method, multiple factors are comprehensively considered, the precision and efficiency of color matching are improved, and the method is suitable for paint make-up color matching of vehicles of different vehicle types, years and paint surface types and has high practicability and popularization value.

The invention discloses a hydrological flow monitoring method and a hydrological flow monitoring system based on a dynamic topology adaptive technology. The hydrological flow monitoring method comprises the following steps: performing hydrological flow monitoring in real time by adopting a trained online flow measurement model; the method comprises the following steps: firstly, acquiring actually measured hydrological element data in the same period of an online flow measurement data sequence, and establishing a river section hydrological element information base; then based on edge computing gateway equipment, flow velocity analysis is carried out by adopting a dynamic topology adaptive technology, parameter calibration is carried out on an online flow measurement model, and the average flow of a test section is calculated; performing comparative measurement analysis and precision evaluation on the flow online monitoring result based on the edge computing gateway equipment; and finally, outputting the finally trained online flow measurement model. According to the method, the applicability of the online flow measurement equipment under different hydraulic conditions and water flow characteristics can be further explored, and a key technical support is provided for application of flood control early warning and other aging sensitive scenes and construction of a cloud-side-end collaborative distributed hydrological monitoring network.

The invention belongs to the technical field of vehicle software testing, and particularly relates to a test case generation method and system based on big language model and rule collaboration, and the method comprises the steps: analyzing a demand document, and mapping the demand document to a fault ontology model to generate a structured test demand; generating a plurality of groups of fault verification conditions based on equivalence class division and a boundary value analysis method by utilizing a large language model; a multi-dimensional mixed retrieval strategy is adopted to retrieve a reference case from a historical case library; in combination with the verification condition, the reference case and the standardized information base, preposed environment settings, serialized operation instructions and expected responses of the test case are generated in stages; and finally, the case quality is ensured through cooperative verification of a large language model and a rule engine. The problems that a traditional method depends on manpower, the coverage rate is low, errors are prone to occurring, and historical knowledge is difficult to reuse are effectively solved, and the automation degree, accuracy and integrity of BMS test case generation are remarkably improved.

The invention discloses a multi-system fused vehicle-mounted carbon metering comprehensive management system, and relates to the technical field of carbon emission monitoring, the system is composed of a plurality of functional modules, and the system comprises a data acquisition and processing module for acquiring cargo electronic tags and matching cargo information in multiple systems based on the cargo electronic tags; the operation scheduling optimization module is used for performing evaluation and classification according to the cargo information, and screening candidate vehicles meeting basic conditions from a vehicle information base according to evaluation and classification results; carrying out comprehensive evaluation on the screened candidate vehicles, carrying out global optimization in combination with all goods and vehicles in the transportation task, and constructing a transportation task matching algorithm; and the carbon metering and feedback module is used for acquiring actual energy consumption data, mileage data and cargo transportation conditions of the vehicle based on global optimization, and calculating the carbon emission of the vehicle in the transportation process according to a set carbon emission accounting method.

The invention relates to an unbalanced data-oriented electric power system lightning disaster risk detection method, which comprises the following steps of: S1, gridding a target detection land parcel to obtain a plurality of grid units; S2, based on latitude and longitude coordinates of each grid unit, obtaining line parameters and environment characteristics of each grid unit in combination with a line database and a geographic information base, wherein the line parameters comprise tower height, span, grounding resistance, loop number, lightning arrester number and transformer capacity, and the environment characteristics comprise soil conductivity, building height and land utilization type; and S3, inputting the line parameters and the environment characteristics of each grid unit into a trained first detection model to obtain the thunder and lightning probability and the maximum peak current of each grid unit. Compared with the prior art, the multi-source data such as the tower height, the span, the grounding resistance and the soil conductivity are comprehensively considered, and the risk assessment result has higher regional adaptability and accuracy.

The invention provides a construction method of a core particle structure simulation model, a medium, a product and equipment. The method comprises the steps that a target design layout file and simulation information corresponding to a target core particle structure are acquired, and the target design layout file comprises layout and wiring information of component levels in the target core particle structure to be simulated and the relative position and assembly relation of an internal structure; calling a preset information library to analyze the target design layout file and constructing a parameterized design unit library corresponding to the target core particle structure; and generating a simulation model according to the simulation information and the parameterized design unit library. According to the method, the parameterized design unit library is established, then simulation is carried out through the standardized design unit, the complexity in the simulation process is reduced, batch modeling can be achieved, and therefore the tedious process from a core particle structure design layout to a simulation model is solved, and the design simulation efficiency of the core particle structure is greatly improved.

The invention discloses an intelligent campus student activity trajectory tracking method and system based on front and rear end fusion learning, and relates to the technical field of intelligent campus security. An embedded front end collects videos of a plurality of monitoring cameras of a campus, carries out target detection and extracts primary features of student targets; uploading the extracted primary features and the video to a back-end server; and the back-end server extracts advanced features of human body postures and gaits from the video by using a human body posture estimation algorithm and a gait recognition algorithm, fuses the advanced features and the primary features to obtain fused features, and clusters all detected student targets by using the fused features, thereby realizing cross-camera identity unification of the same student under different cameras, and improving the identification accuracy of the student. Face detection and recognition are carried out in each clustering group, a student information base is matched to determine student IDs, and the student IDs, video timestamps and monitoring camera position information are stored; and the client retrieves target information according to the input student ID or photo, and automatically clips and generates a time-space continuous complete cross-camera trajectory tracking video. According to the invention, efficient and intelligent analysis of campus monitoring data is realized, and targets can be accurately associated and tracked in a cross-camera scene.

The invention discloses an enhanced retrieval generation optimization method fused with a knowledge graph, and relates to the technical field of data processing. The method comprises the following steps of: constructing a knowledge graph containing entities, attributes and relationships from a data source, performing community division on the knowledge graph, and generating a multi-level community abstract for each community to form a structured abstract information base; a particle swarm optimization algorithm is adopted, joint optimization is conducted on the multi-modal retrieval mixed weight and the information filtering threshold value, the optimized multi-modal retrieval mixed weight and the optimized information filtering threshold value are obtained, and the multi-modal retrieval mixed weight comprises a vector retrieval weight, an atlas relation retrieval weight and a keyword retrieval weight; receiving a user query, and classifying the user query into a global query or a local query according to the semantic features; constructing an enhanced context according to a user query classification result; and inputting the enhanced context into a large language model to generate a final answer. According to the method, the self-adaptive optimization of the retrieval generation process is realized.

The invention discloses a data asset inventory and blood relationship analysis method, and belongs to the technical field of cloud computing and data asset management. The method comprises the following steps: constructing a unified asset information base by deploying a distributed acquisition agent cluster; performing unified semantic modeling on the metadata to generate a standardized data asset description file; analyzing the data processing log to construct a blood relationship map containing time sequence attributes and dynamic relationship strength; performing multi-dimensional anomaly detection and influence propagation analysis based on the atlas; and carrying out value evaluation and classification on the data assets in combination with topological importance, business value and risk level. According to the method, the problems of metadata dispersion, blood relationship static lag, abnormal influence assessment difficulty and the like in the prior art are solved, automatic checking, blood relationship dynamic tracking and asset value intelligent assessment of the data assets are realized, and the accuracy and decision support capability of data asset management are remarkably improved.

The invention relates to the technical field of creep age forming, in particular to an online monitoring and repairing method for creep age forming, which realizes closed-loop intelligent control of a creep age forming process by integrating acoustic emission real-time monitoring and electric pulse online repairing. According to the invention, real-time acoustic emission characteristic parameters are collected and extracted in real time, and damage initiation activities in the material can be captured immediately; the real-time acoustic emission characteristic parameters are compared with the creep aging damage information base in real time, and the current damage can be subjected to early recognition and accurate quantitative diagnosis according to historical damage evolution data, so that the damage type and the damage degree are accurately judged; and an optimal electric pulse parameter combination predetermined for the damage type and the damage degree of the target damage is called as a repair parameter, and electric pulse repair is immediately applied, so that damage self-adaptive accurate intervention is realized. And after repairing is completed, the process automatically circulates and returns to the monitoring step, and whole-process closed-loop control of damage monitoring, damage diagnosis and damage repairing is formed.

The invention relates to the technical field of electric power facility protection, and discloses an ultrasonic damage expelling equipment control method applied to electric power facilities. The method comprises the following steps: acquiring environmental parameter data in real time, constructing a multi-dimensional pest feature recognition system and outputting a standardized signal; establishing an ultrasonic parameter database based on a frequency characteristic conversion technology, and generating a control instruction through characteristic matching; constructing a historical pest expelling case information base; establishing a multi-factor weight distribution model, calculating a priority score and generating a task sequence; an optimal control scheme is solved by adopting an improved genetic optimization algorithm, and the targets are to maximize the pest expelling range, minimize the energy consumption and shorten the response time; and outputting a control result through the interaction platform and tracking and feeding back. According to the method, accurate identification, dynamic parameter matching and multi-target optimization control of the pest activities are realized, and the efficiency and adaptability of power facility pest expelling are improved.

The invention relates to a two-dimensional file processing method based on three-dimensional lightweight linkage, which comprises the following steps: analyzing a three-dimensional model file generated by three-dimensional design software, and extracting key information; generating a lightweight model file, and storing coordinate information of the current viewport; receiving view information selected by the user terminal, and storing the view information in a collaborative information base; determining a projection algorithm; determining a first relative position of the labeling information relative to the component; projecting the geometric information to a two-dimensional plane according to a projection algorithm, the view range and the view angle, and generating a two-dimensional file after labeling the labeling information at the labeling position; storing the second relative position and the approval information in a collaborative information base, and associating the second relative position and the approval information with the coordinate information of the current viewport; and when the two-dimensional view of the two-dimensional file is displayed, positioning to a corresponding elevation position in the lightweight model file according to the elevation value, and displaying the approval information according to the coordinate information of the current viewport.

The invention relates to the field of combat command and dispatch, in particular to a multistage linkage combat unit command and dispatch system. According to the invention, a basic-level minimum emergency unit element information base is constructed through a data acquisition module; generating an electronic map supporting 2D and 3D switching; an intelligent analysis early warning module identifies abnormal conditions and generates early warning information; a plurality of multi-level linkage combat unit topology networks are generated through the multi-level linkage command architecture module; generating a command data large screen for dynamically aggregating public security indexes and a global situation visualization electronic map through a global situation visualization module; an early warning area is circled and selected through the intelligent scheduling module; and associating the corresponding multi-stage linkage combat unit to generate a deployment instruction. According to the multi-level linkage combat unit command and dispatch system provided by the invention, the multi-level linkage combat unit is effectively combined with a dynamic visual geographical environment from data acquisition, analysis and early warning to command and dispatch through cooperation of multiple modules, so that the command and dispatch efficiency is remarkably improved.

The invention relates to the technical field of induction type magnetic thermoacoustic, and discloses an ice melting and deicing method and system based on induction type magnetic thermoacoustic. The method comprises the following steps: acquiring ice surface state signal data in real time, and constructing a multi-dimensional signal processing system to output a standardized ice melting signal; establishing a parameter database based on a magneto-thermo-acoustic conversion technology, and positioning target parameters by using a feature matching algorithm to generate a control label; a historical ice melting case information base is constructed, a multi-factor weight distribution model is combined, weighting is carried out through a decision tree algorithm, ice melting matching degree scores are calculated, and a priority sequence is generated; solving an optimal ice melting scheme by adopting an improved genetic algorithm; and outputting a result through the interactive verification platform, and tracking and feeding back. According to the method, the ice melting process can be accurately regulated and controlled, multiple factors are comprehensively considered, the ice melting efficiency is effectively improved, the energy consumption is reduced, intelligent and accurate ice melting is achieved, and the method is suitable for ice melting and deicing work in multiple scenes.

The invention provides a comprehensive emergency plan information management method and system, and relates to the technical field of plan information processing, and the method comprises the steps: constructing a first knowledge graph according to plan information corresponding to a plurality of historical emergency plans contained in a historical comprehensive emergency plan information base; determining an initial emergency plan for the to-be-planed event according to the first knowledge graph; constructing a second knowledge graph according to the content of the initial emergency plan; in response to occurrence of the to-be-planed event, determining conflict nodes of a second knowledge graph according to field information collected by the edge server; determining a supplementary plan in the first knowledge graph according to the basic information of the to-be-planed event and the conflict node; fusing the initial emergency plan according to the supplementary plan to obtain a target plan; and recording the determination of the initial emergency plan of the to-be-planed event and the generation of the target plan in a full cycle. According to the application, the intelligence, precision and dynamic response capability of comprehensive emergency plan management are integrally improved.

The invention relates to the technical field of electric power system risk perception, in particular to an electric power asset risk perception method and device based on a multi-dimensional time sequence and a large model and a medium, and the method comprises the steps: collecting asset fingerprints of an electric power information system, matching the asset fingerprints with a standard component knowledge base, and standardizing the asset fingerprints; obtaining a standardized asset fingerprint ledger library; extracting vulnerability feature information from the multi-source unstructured risk early warning information to obtain a structured risk intelligence information base; performing vectorization representation on asset features in the standardized asset fingerprint machine account library and vulnerability influence component features in the risk information library, calculating vector similarity between the asset features and the vulnerability influence component features, performing feature matching according to the vector similarity, positioning affected assets, and generating an asset risk list; and driving a risk disposal process through a process engine based on the asset risk list. The asset risk perception efficiency is improved, and the response period is shortened.

The invention discloses a question retrieval method and device based on a question-answer pair information library and a medium, and is applied to the field of artificial intelligence, and the method comprises the following steps: obtaining a user question, and matching the user question through the pre-constructed question-answer pair information library to determine a matching condition; judging whether the matching condition is that a matched question-answer pair exists or not, and if yes, generating a target question answer according to a cached answer in a question-answer pair information base; otherwise, matching the questions of the user through a pre-constructed knowledge base to generate an answer to the target question. Through pre-retrieval of questions and answers on an information base, similar matching items of historical questions of a user are quickly positioned, direct retrieval of massive knowledge bases is avoided, and the calculation amount is reduced. And for the matched questions, the cached answers are directly called without triggering knowledge base retrieval and large model regeneration processes, so that the system response speed is increased. For unmatched new questions, the accuracy and integrity of answers are ensured through bottom retrieval of the knowledge base, and the answer failure caused by information base deficiency is avoided.

The invention relates to a robot navigation switching method and device based on a working scene, equipment and a medium, and belongs to the technical field of robot route planing.The method comprises the steps that multiple to-be-analyzed images of a to-be-worked area of a robot are obtained, and the multiple to-be-analyzed images are continuous frames; identifying the plurality of to-be-analyzed images to obtain a first to-be-determined working scene corresponding to each to-be-analyzed image; under the condition that the plurality of first to-be-determined working scenes are matched, taking the first to-be-determined working scenes as target working scenes; selecting a target navigation map corresponding to the target working scene from a navigation map information base; and generating a control instruction based on the target navigation map to enable the robot to travel based on the target navigation map. The method has the advantages that the target working scene is determined through the multiple to-be-analyzed images, navigation is performed through the target navigation map corresponding to the target working scene, the complexity of path planning calculation is reduced, and it is ensured that the robot quickly and accurately reaches the target position.