297 results about "Data Linkage" patented technology

The invention provides an interactive simulation teaching processing method and device for ship electromechanical guarantee, and relates to the technical field of interactive simulation teaching, and the method comprises the steps: building a ship electromechanical full-structure model in a virtual simulation platform, digitally mapping real equipment operation parameters into virtual parts with real-time response characteristics, and carrying out the real-time simulation of the virtual parts; synchronous acquisition and normalized calibration of operation instructions, equipment feedback and environment disturbance in a teaching scene are realized, and a unified teaching simulation data set is generated. State recognition, fault simulation and operation evaluation calculation are completed through multi-layer task scheduling, and real-time teaching feedback is generated and visually displayed on a terminal. Based on difference analysis of dynamic evaluation data and a standard operation template, operation deviation and abnormity are automatically identified, and a targeted guide prompt is generated. According to the invention, unified modeling and data linkage can be carried out on student operation behaviors, equipment dynamic responses and teaching feedback results, and the problems of teaching feedback lagging and lack of pertinence in operation correction are solved.

The invention relates to a full-life-cycle digital passport management system and method for electromechanical equipment, which take dynamic data in an operation and maintenance stage as a core and depend on linkage of an intelligent algorithm and full-cycle data. The problems of equipment parameter deviation, performance degradation and the like can be accurately identified based on five-dimensional full-period data integrated by a data passport construction module; and a fault influence range and associated equipment are positioned according to physical, logic and power dependency relationships presented by the equipment dependency graph construction module, so that a basis is provided for decision correction. Besides, through unique identification of a gene coding module, historical data and responsibility subjects of equipment can be traced, BIM model dynamic updating, feedback design and construction stage data verification optimization are driven, and a closed loop of operation and maintenance feedback-model correction-full-cycle data iteration is formed. The module solves the problems of traditional operation and maintenance data isolation and model static state, enhances the timeliness and accuracy of block chain evidence storage data, and supports applications such as intelligent service layer predictive maintenance and fault self-repairing.

The invention discloses a high-formwork optimization design method and system based on BIM and finite element analysis, and the method comprises the steps: S100, building a three-dimensional BIM model of a main body structure, and creating an intelligent parameterization frame body family which is mapped with a main body structure family and has a self-verification function; s200, importing a parameterized family and linking the main body model, generating a plurality of groups of frame body arrangement schemes through spatial topology analysis, and performing a three-dimensional collision test after optimization; s300, setting dynamic boundary constraints and construction loads in stages, and generating a geometric and mechanical integrated data packet; s400, data packet parameters are automatically mapped to finite element software through a plug-in, models are built in stages, multi-working-condition analysis is carried out, if the parameters exceed the limit, frame body parameters are modified, iterative optimization is carried out until the parameters meet the standard, and a result is synchronized to a three-dimensional BIM model; and S500, a construction drawing is automatically generated, and visual disclosure and high formwork monitoring point selection are carried out. According to the method, design, computational analysis and construction application data linkage and closed-loop management from design to construction to monitoring are achieved, and the high formwork design efficiency and safety are improved.

The invention relates to the technical field of invoice risk control management, and discloses an invoice risk control management method and system based on multi-source data linkage. According to the method, multi-source data of the whole invoice business process is collected in real time through a multi-source data fusion gateway. And performing streaming ETL processing and encryption integration on the multi-source data to generate an encrypted unified data view. And based on the view, constructing an association hypergraph by utilizing a dynamic graph association technology, analyzing an entity relationship by virtue of a graph neural network, and identifying false invoice making gang and repeated financing risks. And calculating a dynamic risk score by adopting a risk quantification and traceability technology, and outputting a risk level, a responsibility node identifier and a capital flow thermodynamic diagram. When the risk score exceeds a threshold value, risk gradient information is safely shared among the group headquarters, the molecular companies and the tax-bank institutions, and linkage processing actions such as invoice freezing, red character notification or credit adjustment are triggered. According to a manual reexamination result, the risk model is finely adjusted through a knowledge self-updating technology, and the rule base is hot-updated.

The invention provides a campus security risk prevention and control cloud service platform, and relates to the technical field of cloud platforms, and the platform comprises a data processing and transmission module which is used for carrying out data storage, processing and secure transmission based on a cloud platform architecture, and supporting the automatic reconnection and concurrency control of data transmission; the safety guarantee module is connected with the data processing and transmission module and is used for carrying out digital management on civil defense, object defense and technical guarantee information of the campus; the safety risk prevention and control module is connected with the data processing and transmission module and the safety guarantee module and is used for carrying out informatization processing and linkage on campus safety management, safety education and safety emergency processes; and the joint defense and joint control module is connected with the safety risk prevention and control module and is used for realizing data linkage and emergency response command between the multi-level education management department and the school based on a processing result of the safety risk prevention and control module. By constructing the campus safety risk prevention and control cloud service platform, the intelligence and collaboration level of campus safety management is remarkably improved.

The invention relates to the technical field of ozone control, in particular to a creeping discharge ozone control optimization method, which comprises the following steps: acquiring temperature, humidity, voltage and ozone concentration data based on a discharge device, performing proportion conversion and optimization, extracting trend characteristic factors, screening nodes according to relevance, and sequencing to obtain a creeping discharge ozone control model; the combined effect of electricity, temperature and humidity on ozone change is analyzed, the regulation and control unit is identified, and load distribution configuration is optimized. According to the invention, normalization processing is carried out on temperature, humidity, electrical and ozone concentration data collected in a region, a data linkage mechanism with temperature and humidity change as a core is constructed, node response performance is dynamically sequenced, and periodic data change is fused, so that a set of control flow for cooperatively adjusting temperature, humidity and electrical parameters is formed; real-time adjustment of partitioned loads and dynamic optimization of energy distribution are realized, agile response and multi-region difference matching capability of ozone generation regulation are brought, and the stability under ozone yield fluctuation is improved.

The invention relates to the technical field of enterprise operation management, in particular to an enterprise operation demand data linkage analysis method and system, and the method comprises the steps: obtaining a communication text, and carrying out the analysis to obtain information definition degree data; based on the keyword weight table, obtaining an emotion recognition result; obtaining project objective state data, and comparing the project objective state data with the corresponding emotion recognition result to obtain inconsistency degree data; calculating a channel reputation score based on the information definition degree data and the inconsistency degree data; outputting a project risk result according to the channel reputation score; and when the channel reputation score is lower than a preset first threshold value and it is detected that the information definition degree data is higher than a preset second threshold value, triggering a high-priority risk alarm, and outputting a project risk result. The method has the advantages that the problem of inaccurate project risk identification caused by information distortion and data sparsity in the prior art can be effectively solved, and the reliability and timeliness of risk judgment are remarkably improved.

The invention discloses a saline-alkali soil multi-water-source accurate salt control irrigation and drainage integrated system and equipment, and relates to the technical field of saline-alkali soil irrigation and drainage, and the system comprises a multi-water-source intelligent evaluation and dynamic allocation module, an accurate salt control-irrigation and drainage cooperative regulation and control module and an integrated anti-blocking salt discharge and tail water reuse module; by monitoring water source salinity, soil data and a crop salt demand model in real time, dynamically calculating an optimal water source combination, for example, low-salt rainwater is preferentially used for sensitive crops, and a valve is automatically regulated and controlled to switch water sources, the scheme has the advantages that high-salt brackish water is prevented from aggravating salinization, the water resource utilization rate is increased by 30% or above, and blindness of traditional artificial experience allocation is solved; meanwhile, decision making is driven through multi-module data linkage, for example, the irrigation and drainage proportion is regulated and controlled through water source data, and the control unit responds to salinity exceeding within 10 seconds; the scheme has the advantages that manual intervention is reduced by 90%, the engineering advantages of anti-corrosion flow guide design, water flow driving energy conservation, modularization, easy maintenance and the like are implied, and the method is suitable for various saline-alkali land terrains.

The invention discloses a low-altitude unmanned aerial vehicle dynamic visual positioning method and device under an ultra wide band, and relates to the technical field of unmanned aerial vehicle positioning and navigation.The method comprises the steps that UWB anchor points are arranged in an operation area, a low-altitude unmanned aerial vehicle calibration operation track is obtained, and an anchor point set is configured through signal fitting; when the unmanned aerial vehicle works along the track, the anchor point group is activated according to the front authentication track point; receiving a UWB signal and carrying out abnormity identification; if the threshold value is triggered, activating a visual acquisition device, and obtaining IMU data; visual key feature points are extracted, the dynamic fusion network is initialized, the pose is corrected based on multi-source data linkage, and a linkage pose correction result is generated. The technical problems that in non-electrical variable control and adjustment of the low-altitude unmanned aerial vehicle pose in the prior art, due to the complex environment, positioning deviation and failure are prone to occurring, and the requirement for precise operation is difficult to meet are solved, precise positioning of the low-altitude unmanned aerial vehicle pose is achieved, precise positioning in the complex environment is achieved, the failure is avoided, and the working efficiency is improved. And the technical effect of precise operation requirements is met.

The invention provides an online car-hailing driver qualification dynamic verification system and method based on multi-source information fusion. Comprising a multi-source information acquisition module used for receiving related data submitted by a driver end and performing consistency verification by using a person-certificate consistency detection algorithm to generate a first verification result; the data consistency comparison module is used for carrying out cross-certificate comparison and generating a second verification result; the automatic auditing and decision-making module is used for outputting a driver qualification auditing conclusion and a conclusion identifier according to a preset city auditing rule base and the second verification result; the training task management module is used for matching and distributing a training course task for the target driver account according to the conclusion identifier, and receiving a training completion state; and the vehicle authority control module is used for opening or keeping limitation on the order receiving authority of the target driver account according to the conclusion identifier and the training completion state, and dynamically adjusting the order receiving authority. According to the invention, rapid auditing, automatic training distribution, data linkage and real-time dynamic compliance management and control can be realized.

The invention belongs to the technical field of medical training, and particularly relates to a method and a system for constructing a virtual operating room resource library for reappearing an offshore operation scene, and the method comprises the following steps: 1, collecting offshore medical data and scene demands: collecting an offshore environment and medical data, and determining medical care core capability demands; in the application, coupling parameters generated by a sea condition dynamic sensing module drive a mixed reality scene rendering module to present real shake and environment change; meanwhile, parameters are synchronously input to the equipment modeling module, fault response of virtual equipment is triggered, a user operates the virtual equipment through the interaction module and executes an operation on a virtual human body model, and the resource library management module guarantees reusability and updatability of resources in the whole process. Through real-time data linkage among the modules, total-factor dynamic coupling of sea conditions, scenes, equipment and operation objects is finally realized, and the problem of simulation distortion of a traditional system is solved.

The invention discloses a high-computing-power data center operation and maintenance automatic execution system, and relates to the technical field of data center operation and maintenance control. The method comprises the following steps: acquiring human-machine-ring-task full-dimensional data, and integrating historical and static data; forming an ability state level Cs through multi-dimensional index weighted analysis; calculating a task risk level Rt from four dimensions; constructing a matrix and a rule base, and mapping a control strategy; the Cs and the Rt are dynamically updated, and the operation and maintenance scheme is adjusted in a linkage mode; and writing back abnormal data, triggering training and reevaluation, and optimizing the model and rules. According to the method, traditional operation and maintenance data islands are broken, pain points such as risk perception lag and regulation and control discretization are solved, accurate matching of personnel capabilities and task risks is realized through full-process data linkage, operation and maintenance safety, accuracy and efficiency are improved, continuous optimization of the personnel capabilities and a system model is promoted, and reliable support is provided for stable operation of a data center.

The invention discloses a tobacco marketing abnormal address management and control method, system and device based on GIS and multi-dimensional data fusion and a medium, and belongs to the technical field of tobacco industry informatization and internet marketing. The technical problems that in the prior art, address risk control dimensionality is single, query precision is insufficient, data linkage is lacked and visual analysis capacity is weak are solved. According to the technical scheme, the method comprises the steps that abnormal address data is constructed and queried based on a multi-dimensional label; gIS visualization and correlation analysis based on a mixed similarity model: GIS positioning and range loading, spatial candidate set filtering, text similarity fine screening, mixed weighted scoring and visualization rendering and statistics are realized through the mixed similarity model of spatial index coarse screening and text algorithm fine screening, and correlation order detail form display based on GIS range triggering is carried out.

The invention discloses a clinical medicine practical skill multi-dimensional evaluation and analysis system, and relates to the technical field of clinical medicine education and skill evaluation, and the system comprises a multi-source data collection module which obtains operation and other multi-dimensional data; the data standardization preprocessing module unifies formats, corrects exceptions, encrypts and desensitizes; the data intelligent quantitative calculation module converts a quantitative result by using an algorithm; the multi-dimensional dynamic evaluation module constructs a three-dimensional model, sets three stages of periods, and combines AI and manual output scores; the personalized feedback module generates a report and a scheme and supports multi-scene data linkage; according to the method, multi-source data is integrated, the limitation of single data of traditional evaluation is broken through, the difficult-to-quantify ability is converted into objective indexes through an intelligent algorithm, a three-dimensional evaluation model and a three-level evaluation period are constructed, skill development is dynamically tracked, AI and manual rechecking are fused, efficiency and accuracy are balanced, and a personalized scheme and a multi-scene report are generated. And clinical medicine evaluation upgrading is promoted.

The invention discloses a modularized multi-channel dynamic layout method for a three-dimensional scene of a data center machine room, which comprises the following steps of: firstly, defining a topological relation data structure of a directed acyclic graph model based on a machine room design drawing, and accurately describing spatial layout characteristics of multiple channels, bifurcated channels and asymmetric channels through weight parameters; equipment such as a cabinet, an air conditioner and a power distribution module are modularized into Unity preforms, and a unified data structure including equipment types, position coordinates and data interface mapping is established; a data binding component is mounted on each prefabricated body, so that digital twin linkage with a rear-end monitoring system is realized, and real-time state visualization is supported; after layout is completed, structured JSON data is generated and uploaded to a server, and a user can load a historical version in a one-key mode and rapidly reproduce a scene. According to the method, the layout generation efficiency is improved by more than 50%, dynamic generation of a complex topological structure during operation is supported, a complete digital twin closed loop from geometric layout to data linkage is realized, and the planning and operation and maintenance efficiency of a data center is remarkably improved.

The invention discloses a visual interface display method and system for medical communication, and belongs to the technical field of medical communication visualization. The method comprises the following steps: acquiring an operation type, calling a corresponding scene template, synchronizing an image, completing three-dimensional reconstruction and generating an interactive anatomical model; main view real-time rendering is carried out, multi-dimensional data linkage display is realized, and a remote connection signal is obtained; when the remote connection is successful, allowing an expert to label the anatomical model; when abnormity is detected, risk early warning is triggered; calculating a network quality index, performing weighted calculation, and generating a network quality score; when the network quality score does not meet the communication condition, key anatomical feature points are extracted, and feature vectors are generated; traversing a feature database of the anatomical model, and matching with the feature vectors; positioning a focus area in the main view field, and executing area replacement logic; calling a medical network topology library, and screening alternative networks; and when no single network in the topological structure meets the requirement, starting a link aggregation mechanism.

The invention discloses an HAZOP analysis method and system based on digital delivery, and relates to the technical field of chemical safety risk analysis, and the method comprises the steps: obtaining to-be-analyzed digital delivery data; carrying out digital delivery model integration and dynamic verification by adopting a topological correlation theory and a rule engine method; performing multi-source process data standardization processing and risk element mapping by adopting a statistical learning and semantic matching method; performing model-driven deviation intelligent generation and causal chain analysis by adopting a topological reasoning and analogue simulation method; carrying out cross-professional collaborative optimization and measure closed-loop tracking by adopting a collaborative filtering and closed-loop control method; and carrying out full-life-cycle data linkage and iterative optimization by adopting a feedback learning and knowledge iteration method to generate a standardized report. According to the method and the system, full-process digitization, intelligentization and full-life-cycle management and control of chemical process risk analysis can be realized, and the precision and the efficiency of HAZOP analysis are improved.

The invention discloses a robot program verification and real-time data twinning method, relates to the field of robot technology and digital twinning technology, and aims to optimize task design and path planning of a robot in actual work. The method specifically comprises the steps that a script is written by utilizing basic programming languages such as C #, Python and Java, and offline programming software is developed for the robot according to a data interface matched with the corresponding robot; after a working program is written for the robot by using off-line programming software, deploying three-dimensional models of the robot and the production field environment into an unreal engine to form a visual three-dimensional scene, and adding colliders and physical attributes for all the models; robot posture data pre-generated by offline programming software are accessed to a three-dimensional scene, occurrence conditions of accidental collision, joint overrun and singular poses are detected, and after correctness of an offline program is verified, robot data are accessed to an entity robot and the visual three-dimensional scene at the same time. And real-time monitoring and data linkage collaborative display of real-time physical robot operation are realized.

The invention relates to a multi-source heterogeneous data linkage power distribution data transmission safety supervision method, which comprises the following steps that: a safety supervision gateway receives heterogeneous data streams from an intelligent electric meter, a power distribution terminal, a fault indicator and a distributed energy monitoring unit, and analyzes original data of a protocol by using a multi-protocol analysis engine; the method comprises the following steps: analyzing data, extracting standardized data load and metadata, classifying according to equipment types, content criticality and business domains on the basis of analyzed data and a preset strategy library, dynamically marking security levels of the data, continuously monitoring data sending frequency, flow, connection duration and instruction sequence rationality of each terminal in a transmission process, and transmitting the data to the terminal. And carrying out dynamic trust evaluation and updating a trust value, forwarding encrypted or signed data to a power distribution master station or a data center through an optimal path, carrying out deep detection in the whole process, and recording a full-quantity security log which comprises a source IP, a target IP, a data size, a timestamp and an event type.

The invention provides a multi-mode linkage control and remote state monitoring system for fire-fighting equipment. The multi-mode linkage control and remote state monitoring system is characterized in that multi-mode data of the fire-fighting equipment is acquired in real time through a sensor array; building a building digital twin model based on the three-dimensional point cloud data and a BIM model, training in combination with a generative adversarial network GANs, performing analog simulation on the fire development trend, and performing grade division and risk assessment on the fire; formulating a dynamic linkage rule of the fire-fighting equipment, and respectively controlling linkage of different fire-fighting equipment according to different risk degrees of the fire and states of the fire-fighting equipment; optimizing the linkage rule of the fire fighting equipment based on a reinforcement learning algorithm; the state of the fire-fighting equipment is remotely monitored in real time, and timely processing is performed if the state is judged to be abnormal. The fire hazard identification accuracy is improved through multi-modal data linkage, the processing efficiency is improved based on digital twin dynamic mapping, the linkage rule is intelligently adjusted according to the fire hazard and the equipment state, and multi-modal linkage control and remote state monitoring of the fire-fighting equipment are realized.

The invention provides an automatic sugarcane identification method cooperating with soil-green-light time sequence linkage, and the method comprises the steps: carrying out the detection of a cultivation disturbance event: quantifying the dynamic change of a soil structure in a spring cultivation period based on the radar texture heterogeneity induced by sugarcane ridging cultivation; canopy steady-state event detection: based on the scattering mechanism stability of the sugarcane closed canopy, quantifying the biomass steady state in the elongation mature period through normalized variance; group light competition event detection: based on chlorophyll absorption competitive change caused by sugarcane close planting, time sequence extreme value positioning and cumulative intensity analysis are carried out; multi-source collaborative decision making: coupling radar structure stability and optical physiological response characteristics, and fusing event detection results through linkage discriminant indexes; outputting the spatial distribution of the sugarcanes; wherein the detection of the farming disturbance event, the canopy steady state event and the group light competition event is based on the time sequence data linkage analysis of the whole growth period of the sugarcane.

The invention relates to the technical field of geological exploration, in particular to a dynamic slurry pressure regulation and control method for large-diameter slurry shield launching of a karst development stratum, which comprises the following steps of: extracting settlement monitoring data to identify a trend reversal section, analyzing attitude and pressure data linkage, identifying a linkage response interval, extracting slurry and tunneling data to judge slurry supply deviation, according to the method, the settlement trend, the pressure and the posture change information are fused, the linkage relation between the posture and the pressure is established, the abnormal section is recognized in combination with the deviation of the ratio of the slurry supply to the surrounding rock exposure volume, and the adjustment value is generated according to the pressure change trend. Dynamic pressure regulation and control are achieved, the pressure can be actively corrected at the initial stage of settlement change, it is ensured that slurry supply and stratum supporting are coordinated, stratum instability and posture deviation are restrained, the timeliness and adaptability of pressure response at the starting stage are improved, and shield tunneling safety and stratum stability are guaranteed.

The invention relates to the field of digital twinning and industrial automation, and aims to construct a'three-dimensional modeling-real-time data acquisition-analogue simulation-visual display-intelligent analysis' full-process system aiming at the problems that the traditional ash conveying system equipment is difficult to monitor, data is split, no visual graph exists in monitoring, and exception handling and maintenance are passive. The modular design of the system comprises three-dimensional modeling (high-precision 3D + PBR rendering), data acquisition (sensor real-time transmission), a digital twin engine (Unity to realize virtual-real synchronization), simulation visualization (physical simulation + particle effect), intelligent analysis (big data + machine learning, fault prediction and parameter optimization) and user interaction (multi-terminal access). Three-dimensional visualization and data linkage of the equipment are realized, and the equipment has the characteristics of fault early warning, improvement of ash conveying efficiency, multi-terminal convenient operation and the like. The traditional bottleneck is broken through, a path is provided for intelligent ash conveying, and the economic and environment-friendly benefits of improving efficiency, reducing energy consumption and guaranteeing equipment safety are achieved.

The invention provides an intelligent diagnosis method and system based on linkage of a large language model and vehicle data, and the method comprises the steps: obtaining vehicle problem information inputted by a user, and processing the information to obtain a semantic vector; vehicle operation data and historical behavior data are obtained in real time, and the vehicle operation data and historical behavior data are subjected to interface packaging to form a standardized tool for diagnosing large model calling; the method comprises the following steps: constructing a local vehicle diagnosis knowledge base on the basis of internal technical data and maintenance data of a vehicle enterprise to obtain a high-dimensional semantic vector; and performing similarity matching on the semantic vector and the high-dimensional semantic vector to obtain a high-dimensional semantic vector with the highest similarity as a target semantic vector, and inputting the semantic vector, the target semantic vector, the vehicle operation data and the historical behavior data into a diagnosis model to obtain a vehicle problem diagnosis result. According to the invention, accurate identification, intelligent reasoning and personalized solution recommendation of vehicle problems are realized, and the diagnosis efficiency and the service quality are remarkably improved.

The invention provides a marine electromagnetic take-off and landing transportation system based on a heavy-load unmanned aerial vehicle, and belongs to the technical field of unmanned aerial vehicle marine heavy-load transportation. The system comprises a shipborne electromagnetic take-off and landing subsystem, a shore-based electromagnetic take-off and landing subsystem, a heavy-load fixed-wing unmanned aerial vehicle, a marine low-altitude communication monitoring network and a comprehensive scheduling platform; the shipborne electromagnetic take-off and landing subsystem is of a multi-section coil array structure, the effective length of a coil array of the shipborne electromagnetic take-off and landing subsystem can be matched with the available space of a fishing ship deck, the take-off and landing distance is controllable, and therefore the problem of take-off and landing in the narrow space of the deck is solved. The shore-based electromagnetic take-off and landing subsystem is integrated with a three-dimensional terrain modeling module, the real-time environment of a landing area is pre-judged through laser radar and satellite remote sensing data, parameters of an electromagnetic propulsion device and an electromagnetic adsorption device of the shore-based electromagnetic take-off and landing subsystem are dynamically adjusted, then the shore-based electromagnetic take-off and landing subsystem adapts to rugged terrain, and the limitation that a traditional unmanned aerial vehicle depends on a flat take-off and landing field is avoided. And through data linkage and intelligent scheduling of multiple subsystems, the overall efficiency and reliability of marine transportation are greatly improved.

The invention provides a smart city data linkage method based on digital twinning, and the method comprises the steps: constructing a fusion modeling layer, constructing a lightweight digital twinning model through CIM, BIM and GIS technologies, packaging a scenarized simulation model through a micro-service architecture, and forming a data linkage space carrier; establishing a space-time-event double-main-line data linkage mechanism by taking the scene as a reference, accessing multi-source data through a stream processing engine and associating the multi-source data to a space coordinate system to form a dynamic data link; a semantic mapping layer based on Ontology unifies data modes and associates and maps the data modes, a cross-domain data linkage channel is constructed, and heterogeneous data semantic-level linkage is achieved; recognizing the state change of the facility through a time sequence model, and generating a cross-department automatic instruction chain in combination with spatial association to form scenarized closed-loop linkage; and constructing a decision support linkage system by using feedback data, integrating a quantitative model and a deduction engine, and converting the data into visual decision information to complete a full-chain scenarized closed loop. The method solves the problems of traditional data dispersion and the like, improves the linkage accuracy and processing efficiency, and provides support for urban governance.

The invention discloses an intelligent adjusting method and a control system for a windscreen wiper. The intelligent adjusting method comprises the following steps: acquiring real-time rainfall, visibility, vehicle speed, glass pollutant type and scraper abrasion loss data; inputting a windscreen wiper control decision model to output wiping frequency and strength; after executing the action, comparing with a glass definition correction model; and monitoring windscreen wiper part data to generate fault early warning. The system comprises a multi-source data acquisition module, an intelligent decision adjustment module, a self-adaptive optimization module and a fault monitoring and early warning module. Through multi-source data linkage and dynamic model correction, the problem that in the prior art, the wiping effect is poor due to the fact that wiper blade abrasion and pollutant types are ignored is solved, and the adaptability and safety of the windscreen wiper are improved.

According to the data linkage display method and system based on natural language interaction, multi-modal natural language understanding, intelligent task matching and a front-end and back-end linkage control mechanism are fused, efficient, intelligent and low-delay interaction control between a mobile terminal and a data large screen is achieved, and the overall expandability and stability of the system are improved. Through a multi-modal natural language input mode, instruction understanding and tool selection are carried out in combination with a large language model, so that a non-professional user can also rapidly complete control operation on a data large screen through a natural language, the use threshold is remarkably reduced, after a rear end completes data processing, a control instruction is actively pushed to the front end of the large screen, and the user experience is improved. A user does not need to initiate a request again, the interface response speed is remarkably improved, meanwhile, operation tools are divided according to function categories, a dynamic loading mechanism is combined, related tool information is only input into a large language model when needed, the situation that context is overlong due to one-time input is avoided, and the adaptive capacity of a system in a complex service environment is improved.

The invention relates to the technical field of buildings, in particular to a design method of a modular curved-surface reticulated shell building, and aims to overcome the defects that a traditional curved-surface reticulated shell building is long in design period and needs to be combined with field welding construction for repeated verification and adjustment. By means of data linkage and algorithm support, efficient conversion from site data to landing structure parameters is achieved, the modular construction concept is utilized, the pain points of traditional site welding and non-standard components are avoided, and the building requirements of high-speed development and the strict construction period are met.

The invention relates to the technical field of building safety, in particular to a historical and cultural building safety intelligent evaluation system and method. The method comprises the following steps: establishing a multi-sensor array, dividing a detection period, obtaining sensing data of a building in the current period, and completing preliminary evaluation; acquiring historical cycle data, associating the current cycle with the historical cycle data, performing trend judgment, and outputting a judgment result; constructing a multi-stage early warning system, performing multi-stage early warning according to a judgment result, and performing multi-channel pushing operation; the system comprises a current evaluation time period building evaluation module, a multi-time period evaluation data linkage module and a safety early warning and information pushing module. In this way, the refined and intelligent requirements of historical and cultural building safety assessment are met.