58results about How to "Reduce omissions" patented technology

The invention relates to the technical field of time length detection, and discloses a news simulcasting time length detection alarm method based on voice recognition, which comprises the following steps: S1, noise reduction: integrating an advanced digital signal processing technology and a professional noise reduction algorithm to form a refined processing system adaptive to'news simulcasting 'audio, according to the system, aiming at collected useless components such as environment noise and equipment noise, noise characteristics are captured through a multi-dimensional signal analysis model, an effective information core identifier is defined, a differentiated characteristic database of signals and noise is constructed, and a technician sets scientific noise reduction parameters according to the differentiated characteristic database. And accurate noise identification and stripping: integrating an advanced digital signal processing technology and a professional noise reduction algorithm, capturing noise characteristics through a multi-dimensional signal analysis model, accurately stripping environmental noise (such as studio echo and external interference sound) and equipment noise (such as sound recording equipment floor noise and transmission link electromagnetic interference), and simultaneously retaining the original texture of effective audio.

The invention provides a tumor medical image classification method of zero sample evolution NAS based on double-index collaborative evaluation, which comprises the following steps: collecting tumor medical image data, and constructing a data set containing a tumor focus image and a normal tissue image; constructing an extended search space based on a cell structure, wherein the search space comprises a basic operation set, the cell structure and a network overall structure; steady-state evolution algorithm parameters are set, and steady-state evolution initialization is carried out to obtain an initial candidate architecture; taking a double-index comprehensive score calculated by the information rate and the FIM stability as a comprehensive index for evaluating the current candidate architecture, updating the candidate architecture through a steady-state evolutionary algorithm based on a dynamic optimization mechanism until the maximum evolutionary algebra is reached, and obtaining an optimal architecture; and training the optimal architecture by using the data set, and carrying out tumor medical image classification by using the trained optimal architecture. According to the method, the dependence on the annotated data is reduced, the consumption of computing resources is reduced, and meanwhile, the diagnosis efficiency and accuracy are improved.

The invention provides a low-loss bionic elastic tooth type picking table of a linear pepper harvester. The low-loss bionic elastic tooth type picking table of the linear pepper harvester comprises a header frame, a picking roller, a pull-back rolling shaft and a conveying device. The header frame, the picking roller, the back-pulling rolling shaft and the conveying device are sequentially arranged from front to back in the feeding direction; the picking roller comprises a middle rotating shaft, a cam track disc, a spring tooth and a spring tooth shaft; the middle rotating shaft is installed on the header frame, the cam track discs are installed at the two ends of the middle rotating shaft respectively, a plurality of cam grooves are distributed in the circumferences of the cam track discs, the spring teeth are installed on the spring tooth shafts, the spring tooth shafts are arranged along the circumference of the middle rotating shaft, the ends of the spring tooth shafts are embedded into the cam grooves respectively, and the ends of the spring tooth shafts are matched with the cam grooves of the cam track discs. The spring teeth do radial telescopic motion under the constraint of the cam groove when the picking roller rotates; and the rotation direction of the back-shifting rolling shaft is opposite to that of the picking roller. The line pepper picking machine can efficiently complete line pepper picking so as to improve the picking efficiency, and the phenomena of less harvesting and missing harvesting are reduced by adopting secondary callback.

The invention relates to the technical field of power supply ripple monitoring, in particular to a hydrogen production power supply ripple monitoring method for a water electrolysis hydrogen production system, and aims to solve the technical problem that the overall monitoring accuracy is insufficient due to the fact that a ripple coefficient calculated in the prior art cannot truly reflect the actual ripple condition. The method comprises the following steps: acquiring an output voltage signal and an input voltage signal of a hydrogen production power supply in a monitoring time period; extracting a direct current component and a plurality of alternating current mode components from the output voltage signal; identifying a ripple modal component from the plurality of AC modal components based on the periodic characteristics of each AC modal component and the time-frequency domain similarity between each AC modal component and the signal component of the corresponding frequency in the AC component of the input voltage signal; determining a ripple coefficient of the hydrogen production power supply according to the direct current component and the ripple modal component; and generating a ripple monitoring result of the hydrogen production power supply according to the ripple coefficient.

This invention discloses a requirement tracking method, apparatus, device, and medium based on a large language model, relating to the field of artificial intelligence technology. The method includes: performing hierarchical structure tracking and nested table linearization on the document to be processed, and semantically segmenting it; submitting each text block in parallel to a large language model to extract structured requirement items according to preset fields; calculating the cosine similarity between requirement items using an embedding model to recall a candidate matching set; then using the large language model to perform semantic association matching and coverage determination to obtain association mapping data; using the large language model to perform multi-level semantic matching on the requirement items, constructing a multi-level tracking link that supports cross-level matching between non-adjacent documents; and parsing the test item result description text and mapping it to a completed state when the link ends and contains a test document. This invention can improve the automation and accuracy of requirement item extraction, association matching, coverage determination, and full-link tracking, and enhance the fault tolerance of the tracking link.

The application discloses a register configuration combination verification information generation method, a verification method and a device, and relates to the technical field of chip verification. First, the bit width and the value range of a domain segment are obtained by analyzing a register description file, and then the value range is divided according to the bit width, and verification points are automatically obtained, so that the generation efficiency and consistency of the verification points are improved. Secondly, the value range of a random variable corresponding to the domain segment is determined according to one or more verification points, and the diversity of the test configuration is increased. Thirdly, each verification point is mapped into a corresponding coverage bin of a coverage point, so that each coverage bin corresponds to a corresponding verification point, and whether the corresponding verification point is covered can be determined according to the hit condition of the coverage bin in the subsequent process. Finally, the test constraint condition and the coverage rate model are both generated according to the same set of verification points, so that the generation efficiency, completeness and accuracy of the verification information are improved. When the register configuration combination verification is performed, the efficiency, completeness and accuracy of the register configuration combination verification are ensured.

The invention provides a physical examination information and data association analysis system based on a medical laboratory. The physical examination information and data association analysis system comprises a data acquisition unit, a data annotation and arrangement unit, an association analysis unit and a visual display unit. The invention further provides a medical laboratory-based physical examination information and data association analysis method, which comprises the following steps of: acquiring physical examination personnel information and a detection result, and storing the physical examination personnel information and the detection result as original physical examination data; labeling and sorting the original physical examination data to obtain to-be-analyzed physical examination data; establishing a correlation analysis model; calculating and analyzing correlation; and the system displays a correlation analysis result. According to the invention, personnel information and detection data are collected and stored in combination with an existing medical examination laboratory management system, and on the basis of monotonicity and discontinuity characteristics of the personnel information and detection data of physical examination people, visual correlation analysis of personnel and regional personnel information and a detection item system can be realized; and the information is converted into effective and valuable health management suggestions which are simple and easy to understand, so that diseases are prevented.

The invention provides a large language model causality enhancement method based on a causality inference theory. For intervention or anti-fact questions and answers in medical auxiliary diagnosis, educational evaluation and decision support, the problems of cause and effect direction errors, control condition omission, improper treatment of uncertain conclusions and the like are solved; according to the method, problems and facts are analyzed into measures, contrasts, control conditions and result indexes, the measures, the contrasts, the control conditions and the result indexes are mapped to a structural causal model, a causal subgraph is intercepted to execute intervention or anti-factual inference, result changes, key causal chains and uncertain marks are obtained, and a check list containing preconditions, assertable ranges and assertion rules which must be controlled and forbidden is generated; generating candidates and verifying the candidates, and constructing a preference sample to implement ORPO preference optimization to obtain a causal alignment model; during reasoning, a checking condition is injected, a consistency score threshold value is used for checking, and a consistent answer or a boundary answer is output; the verifiability and reliability of causal expression in the scene can be improved.

The invention relates to the technical field of chemical monitoring, in particular to an N-methylaniline impurity online spectrum monitoring device which comprises a bottom rack, a plurality of glass boxes are evenly arranged on the bottom rack in the length direction, the glass boxes sequentially have different deflection angles, and the deflection angle difference values of the adjacent glass boxes are equal; by arranging the multi-angle deflection glass box, static and multi-angle static monitoring of N-methylaniline is realized, spectral characteristics of impurities in different directions can be effectively captured, and slow rotation of the glass box further drives the internal N-methylaniline to change angles, so that a light source can fully irradiate, and the detection accuracy is improved. Impurities possibly hidden due to local gathering are repeatedly exposed in dynamic rotation, a monitoring blind area is eliminated, the comprehensiveness of impurity detection is remarkably enhanced through the steps, and the accuracy of a monitoring result can be greatly improved especially for trace impurities which are not evenly distributed.

The invention discloses a voice interaction graphene AI intelligent tea table control method, and relates to the technical field of home voice interaction, and the method comprises the control steps: S1, monitoring a surrounding user instruction based on a built-in microphone of a tea table, and after the tea table receives the voice instruction, synchronously carrying out the preliminary noise reduction processing, and retaining the voice segment of the instruction; s2, training a data set containing a noise scene, enabling a built-in model to learn features for distinguishing voice and noise, and filtering non-voice signals in real time; and S3, for dialects and accents in different regions, collecting a scale data set, training a dialect recognition model, and inputting the obtained voice signal into the dialect recognition model to recognize and judge the current dialect and accents. Through preliminary noise reduction and microphone array layout, the voice acquisition quality is improved, and instruction omission is reduced; secondly, by training a multi-noise scene data set, the adaptability of the model to a complex environment is enhanced, and reliable recognition is guaranteed; and aiming at dialects and accent optimization, the product universality is improved.

The invention relates to the technical field of neural image analysis, and particularly provides a brain function connection intelligent screening method and system for autism spectrum disorders, and the method comprises the steps: firstly obtaining resting state functional magnetic resonance imaging data and phenotype information thereof, and extracting a blood oxygen level dependence value time sequence of each brain region after preprocessing; then constructing a multi-scale brain network comprising a low-order function connection matrix and at least one high-order function connection matrix; the matrix is converted into a brain function connection graph containing sub-graphs of different scales through threshold sparsification; meanwhile, phenotype embedding features are extracted from phenotype information; the graph data and the phenotypic features are input into a multi-channel neural network model for parallel processing and fusion, and joint feature representation is obtained; and finally, outputting an auxiliary diagnosis result of the autism spectrum disorder through the classifier. According to the method, by fusing the multi-scale brain function connection information and the individual phenotype features, the accuracy of autism classification diagnosis and the generalization ability of the model are effectively improved.

The invention relates to an intelligent computing framework test method based on coverage, and belongs to the field of intelligent computing. According to the method, a framework is abstracted into a code layer, an operator layer and an environment layer, and designed coverage indexes comprise operator coverage, code line coverage, control flow coverage, data flow coverage, concurrency coverage, exception handling coverage, diversified input coverage, operator parameter combination coverage, model structure coverage and hardware coverage; a specific test method is designed according to the characteristics of each coverage degree, the operation performance of the framework under different conditions is evaluated, and potential defects are found out; and designing a comprehensive weighting method, and introducing marginal cost-effectiveness fusion based on defect detection efficiency, redundancy related punishment and dynamic correction based on a test result of each round into a subjective and objective weighting method. According to the method, potential defects and vulnerabilities can be found and positioned in time, the adaptability of the framework to various application scenes and extreme conditions is improved, and the robustness of the system is enhanced.

The invention relates to the technical field of punching machines, in particular to a CCD servo hydraulic sliding table duplex punching machine which comprises a punching machine body, a dust sticking mechanism is fixedly mounted on one side of the punching machine body, a fixing frame is fixedly connected to one side of the dust sticking mechanism, a mounting frame is arranged above the fixing frame, and a plurality of groove dust sticking rollers are arranged on the mounting frame in a sleeving mode. The mounting frame is arranged, the groove dust-sticking rollers corresponding to the strip-shaped grooves in the surface of the product in size and number are arranged on the mounting frame, impurities in the strip-shaped grooves in the surface of the product can be treated through the groove dust-sticking rollers, omission and dead angles are reduced due to the fact that the groove dust-sticking rollers can be accurately matched with the grooves, and therefore the cleaning efficiency is greatly improved; and meanwhile, the detachable mounting frame is arranged, and the movable abutting frame is arranged in the mounting frame, so that the groove dust-sticking rollers of different numbers and sizes can be conveniently limited, the groove dust-sticking rollers can be easily replaced or adjusted according to production requirements, the device is suitable for products of different shapes and sizes, and the flexibility of the device can be improved.

The utility model discloses an electrolytic copper drying oven, its structure includes drying case, inner baffle and bottom board, through the inner baffle divides the drying case into several layers, makes the electrolytic copper can reduce the situation of mutual contact when putting into the inside, makes dry mutual interference, accelerates the drying rate, and when putting down, the spring compression of inside opens the force block of both and inserts the electrolytic copper into the inside clamping, makes dry stability better, reduces the inclination side, and the electrolytic copper plate can make the position of the electrolytic copper plate clamping of the rolling bar change under the adjustment of bottom board under the rolling down of the rolling bar, so that it is clamped at different positions, and the drying heating effect is better, reduces the drying omission situation of electrolytic copper plate, and the heat penetration hole is arranged on the both sides of the heating cavity in the inner baffle, so that the both sides dry the electrolytic copper plate, and the drying efficiency is faster.

This application relates to a method, system, and storage medium for extracting structured data from literature. The method includes: acquiring information about the literature to be processed and information about the domain of interest; generating intent recognition routing results by calling a corresponding domain intent recognition model based on the information about the domain of interest; constructing prompt words based on the information about the domain of interest and the intent recognition routing results, and extracting first target literature information from the information about the literature to be processed; constructing a corresponding domain similarity function based on the intent recognition routing results, and generating second target literature information by removing similar literature from the first target literature information; and outputting experimental information, experimental knowledge graphs, and source relationships in a structured form based on the second target literature information. This application determines the intent recognition routing results through domain intent recognition, adaptively selects the extraction strategy and domain similarity function, and combines multimodal parsing and block processing to achieve high-completeness extraction, cross-domain adaptive fusion, and traceable structured output of experimental information from cross-domain literature.

The invention belongs to the technical field of artificial intelligence and information, and particularly relates to a media data acquisition method and system for constructing a space-time knowledge tree based on prompt engineering. The system comprises a prompt engineering module, a common knowledge tree construction module, a space-time knowledge tree construction module and a media data acquisition module, wherein the prompt engineering module provides a prompt word template; the common knowledge tree construction module constructs a common knowledge tree through large language model reasoning; the space-time knowledge tree construction module is used for calling a place refining cue word template and a facility refining cue word template based on a common knowledge tree, and constructing a space-time knowledge tree through large language model reasoning and multivariate geographic information verification; and the media data acquisition module generates a multi-dimensional retrieval condition and drives a data acquisition engine to acquire data. According to the method, automatic construction and dynamic expansion of a knowledge tree are realized by utilizing large model reasoning and a controllable prompt strategy, and crawlers are driven to accurately retrieve in multiple dimensions, so that accurate capture of high-value data and reliable tracking of evolution clues are realized.

The utility model belongs to the technical field of aluminum flat tube production, and particularly relates to an aluminum flat tube production cleaning device which comprises a cleaning box. A water storage tank is mounted at the end part of the cleaning tank; the middle part of the water storage tank is fixedly connected with a discharge pipe; the middle of the discharge pipe penetrates through the side wall of the cleaning box; the end part of the discharge pipe is fixedly connected with two water outlet pipes; the two water outlet pipes are arranged on the inner side wall of the cleaning box; the two water outlet pipes are oppositely arranged; a plurality of nozzles are fixedly connected to the middle of the water outlet pipe; the multiple nozzles are distributed at equal intervals; two drivers are mounted at the end part of the cleaning box; the two drivers are mounted at one end far away from the water storage tank; the output end of the driver penetrates through the middle of the cleaning box. By means of the structure, the bristles stably move in the aluminum flat pipe washing process, washing water completely covers the surfaces of the aluminum flat pipes, dirt and impurities remaining on the surfaces of the aluminum flat pipes are effectively removed, and the cleaning effect of the multiple aluminum flat pipes is kept consistent.

The utility model relates to the technical field of wind power equipment detection, in particular to a variable pitch module real-time detection device, which can realize real-time monitoring and improve detection comprehensiveness and accuracy. Comprising a detection base which is arranged to be in a circular ring shape, and the outer side wall of the detection base is fixedly sleeved with an annular rack; the four guide mechanisms are circumferentially arranged on the inner side wall of the detection base; the rotation assembly is arranged on the outer end face of the detection base in a circular motion mode; the detection mechanism is arranged on the autorotation assembly and used for detecting a hydraulic pipeline of the variable pitch module; wherein the autorotation assembly comprises an autorotation support, the autorotation support is arranged on the outer end face of the detection base in a circular motion mode, and an autorotation motor is arranged on the autorotation support; the driving gear is rotationally arranged on the autorotation support and driven by an autorotation motor to rotate, and the driving gear is meshed with the annular rack; and the two rotating guide wheels are symmetrically and rotationally arranged on the autorotation support.

This utility model relates to the field of lightbox technology, and in particular to a quick-assembly folding display rack and its lightbox, comprising a frame enclosed by a top profile, two side profiles, and a bottom profile. The side profiles include at least two hinged to each other on folding uprights. The two ends of the side profiles are respectively hinged to the top profile and the bottom profile. Locking mechanisms are provided at the hinge points between the top profile and the side profiles, and at the hinge points between the bottom profile and the side profiles. In use, the locking mechanisms at the hinge points between the two ends of the side profiles and the top and bottom profiles respectively control the locking of the bottom profile and the side profiles at the hinge points when unfolding or the unlocking of the top profile and the side profiles when folding. This allows the frame to be unfolded and folded without disassembly, greatly reducing the number of disassembled parts, greatly reducing confusion and omissions or mis-bringing, and facilitating on-site setup.

The application discloses a kind of transmission line icing detection methods based on wide-area perception dynamic convolution model, first, multi-dimensional attention module (Multi-Dimensional Attention Module, MDAM) is used to optimize the feature sharing between convolution kernel, more accurately obtain the detailed information of small target;Second, a kind of Thin-head feature extraction network fusing lightweight model (Lightweight model, LM) is proposed, which retains the hidden connection of spatial feature information gradually transmitted to the channel;Using a loss function (Shape-NWD) that combines attention shape cross ratio with normalization, reduces the underfitting caused by positive and negative sample imbalance.Finally, the experiment fully proves the efficiency of the method of the application.

The utility model discloses a double-disc machine structure which comprises a main body box, the upper surface of the main body box is fixedly connected with a bearing plate through bolts, the bearing plate is provided with a first optical detection glass platform, and the bearing plate is further provided with a detection assembly, a feeding assembly and a material collecting structure. The detection assembly, the feeding assembly and the material collecting structure are arranged around the first optical detection glass platform in a surrounding mode, materials enter the vibration disc through the feeding hopper, the vibration disc is driven by the vibration motor to vibrate, the materials are arranged in order along a specific track, and then the direct vibration structure is matched with the vibration disc. Materials are uniformly and stably conveyed to the first optical detection glass platform at a stable vibration frequency, in the process, the guide structure guides the materials to move through the guide plate with a preset track, it is ensured that the materials enter a detection area according to a preset path, meanwhile, the optical fiber structure monitors the positions and states of the materials in real time, signal feedback is provided for subsequent links, and the detection efficiency is improved. And the material enters the first optical detection glass platform.

This utility model discloses a fire protection maintenance storage box, including a mechanism box. A storage box is fixedly connected to the upper end of the mechanism box. Two safety doors are rotatably connected to the side wall of the storage box. A fixed plate is slidably connected inside the storage box. A rotating rod is rotatably connected inside the mechanism box, and a worm gear is fixedly connected to the rotating rod. The safety doors are fixedly connected to the rotating rod, which passes through the mechanism box. The rotating rod is rotatably connected to a first gear via a one-way valve. This utility model has a reasonable structure. By opening the safety doors, the rotation of the safety doors drives the rotating rod to rotate. Then, under the action of the one-way valve, the first gear drives the second gear to rotate, thereby causing the reciprocating screw to rotate and the slider to slide within the groove. Daily check-ins are recorded according to a scale plate, preventing inspectors from failing to open the safety doors to check the integrity of the internal equipment, improving work efficiency, and reducing human error and omissions.

The invention provides an abnormal neighbor cell identification method, a neighbor cell measurement optimization method and a mobile terminal. The method comprises the following steps: acquiring the cell signal quality of a neighbor cell; determining a first deduction score according to a difference value between the cell signal quality of the adjacent cell and the cell signal quality of the service cell; evaluating the cell signal fluctuation amplitude of the adjacent cell according to the cell signal quality of the adjacent cell, and determining a second deduction score according to the cell signal fluctuation amplitude; according to the first deduction score and the second deduction score, determining a health score of the adjacent cell; and judging whether the neighbor cell is abnormal according to the health score of the neighbor cell. According to the invention, the identification accuracy of the abnormal neighbor cell can be improved, the terminal is prevented from being switched to the abnormal neighbor cell, the switching reliability of the terminal is improved, and the measurement power consumption and air interface overhead of the terminal are reduced.

The utility model discloses a trace material evidence extractor for holes and uneven interfaces, which comprises a base and an extracting assembly arranged on the upper portion of the base, the extracting assembly comprises a plurality of independent extracting structures, and each independent extracting structure comprises a supporting rod connected with the base and an extracting head detachably arranged on the upper portion of the supporting rod. The supporting rod is a telescopic rod and is made of a bendable material, an inserting hole is formed in the top of the supporting rod, the extracting head comprises an inserting rod inserted into the inserting hole, and a sponge extracting part is arranged on the upper portion of the inserting rod; through a telescopic and bendable independent extraction structure, the device can be attached to a hole and an uneven interface, and the material evidence extraction efficiency is improved; the sponge extraction part has good elasticity, and the conductive adhesive layer can enhance the adhesive force to trace physical evidences, so that fine physical evidences such as fibers, powder, glass fragments and shooting residues can be accurately extracted, and the leakage of the physical evidences is reduced; the extraction head can be detached and replaced, and when the extraction head is polluted or damaged after being used, only the extraction head needs to be replaced, and the whole extractor does not need to be replaced.

The invention discloses a mold bag laying quality evaluation method, device and equipment based on image recognition and a storage medium, and relates to the technical field of mold bag laying quality evaluation, and the method comprises the steps: obtaining an orthoimage of a target area mold bag laying region shot by shooting equipment; carrying out automatic identification and image segmentation on the orthoimage, and determining boundary information and overlap edge information of a mold bag unit in the orthoimage; positioning a defect part according to the boundary information and the overlap edge information; and according to the boundary information and the lap joint edge information, measuring the lap joint width between the adjacent mold bags, and according to the defect part and the lap joint width, completing mold bag laying quality evaluation. Through the image recognition technology, automatic quality evaluation of the mold bag laying area is realized, and the evaluation efficiency and accuracy are improved. Compared with a traditional manual evaluation mode, the method has the advantages that the defect part can be positioned more quickly, and the overlapping width between the adjacent mold bags can be accurately measured, so that powerful support is provided for controlling the laying quality of the mold bags.

The utility model discloses an asphalt blade coating knife rest, which relates to the technical field of asphalt blade coating and comprises a knife rest, a cleaning mechanism and a circulating mechanism, a plurality of groups of knife receiving grooves are arranged at the top end in the knife rest, limit grooves are arranged at the bottom ends of the knife receiving grooves, cleaning cavities are arranged at the bottom ends of the limit grooves, and water tanks are detachably connected to the left end and the right end of the knife rest. A cleaning mechanism and a circulating mechanism are arranged between the water tank and the knife rest, fixing plates are fixedly connected to the left end and the right end of the interior of the knife collecting groove, multiple sets of cleaning brushes are fixedly connected to the upper ends of the fixing plates, and a scraper is properly scraped by the fixing plates and the cleaning brushes in the process of being inserted into the knife collecting groove, so that impurities on the surface can be effectively removed; meanwhile, the outer wall of the scraper is prevented from being scratched or abraded, the position of the scraper is clamped by the limiting groove and the scraper handle, so that the scraper can stably enter the cleaning cavity, the spray head conducts efficient water flow cleaning on the scraper, it is ensured that the surface of the scraper is clean and free of residues, and the situations of omission and incomplete cleaning in the cleaning process are reduced.

The application provides an electronic medical record construction method and device, electronic equipment, storage medium and product, and relates to the technical field of intelligent medical treatment. The method comprises the following steps: acquiring a disease description text; inputting the disease description text into a multi-task large language model, and identifying a task type corresponding to the disease description text, wherein the task type comprises an information extraction task and an information quality control task; calling an expert module corresponding to the task type in the multi-task large language model to process the disease description text, and generating medical record data; and constructing an electronic medical record based on the medical record data. The application can effectively improve the construction efficiency and data quality of the electronic medical record.

The invention relates to a massive social session risk clue mining method and device based on a large language model, a storage medium and computer equipment, and the method comprises the steps: generating a first cue word based on massive social sessions and a first cue word template, and inputting the first cue word into the large language model, obtaining multiple pieces of risk information output by the large language model and the risk category of each piece of risk information; generating a second cue word based on the multiple pieces of risk information, the risk category of each piece of risk information and a second cue word template, and inputting the second cue word into the large language model to obtain similar risk merging content output by the large language model; and generating a third cue word based on the similar risk merging content and the third cue word template, and inputting the third cue word into the large language model to obtain a risk clue mining report output by the large language model. According to the method, the technical problems of low efficiency, insufficient accuracy, large manual workload, high concealment, difficulty in clue recognition and the like in mass social communication data analysis can be solved.

The invention discloses a mountain water system distribution visualization analysis method, and relates to the technical field of geographic information systems.The mountain water system distribution visualization analysis method comprises the steps that multi-source geological and hydrological data of a target area is obtained; based on the multi-source geological and hydrological data, generating at least one thematic visualization layer, the thematic visualization layer being used for expressing spatial distribution characteristics of geological or hydrological attributes of the target area; and fusing the at least one thematic visualization layer to generate a mountain water system comprehensive visualization view. According to the method, multi-source geological hydrological data of a target area is acquired, a plurality of thematic visual layers including a water system distribution visual layer, a geological risk marking layer, a climate distribution layer and the like are generated based on the data, and then the layers are superposed and fused with a three-dimensional terrain base model; the mountain water system comprehensive visual view is formed, and the problem that in a traditional method, all thematic layers are independently displayed, and effective fusion is lacked is solved.

The application discloses an AI-based hot topic material generation method and device, electronic equipment, medium and product. The method comprises the following steps: performing parallel search on hot topic keywords in multiple data sources to obtain search data; performing hot topic mining on the search data by using a large language model to obtain a hot topic event summary; analyzing the hot topic event summary and the search data by using the large language model to obtain multiple target attention units for generating materials; and generating hot topic material data according to the hot topic event summary, a preset business scenario and the multiple target attention units. The method can improve the efficiency and quality of hot topic material generation.