88results about How to "Flexible response" patented technology

The invention provides a code optimization method and system based on a knowledge graph, and the method comprises the steps: carrying out the source code analysis based on a to-be-optimized code library, constructing an abstract syntax tree, and determining a to-be-optimized code snippet based on the code complexity of a corresponding code in the abstract syntax tree; determining a reconstruction mode corresponding to each to-be-optimized code snippet based on the to-be-optimized code snippet in combination with a pre-constructed code optimization knowledge graph, and constructing a context dependency graph of each to-be-optimized code snippet based on the abstract syntax tree and the code optimization knowledge graph corresponding to each to-be-optimized code snippet; performing sliding window decomposition based on the context dependency graph to obtain a plurality of mutually associated code blocks, and performing simplification and fusion on the code blocks to obtain a current context; and inputting the reconstruction mode corresponding to each to-be-optimized code snippet and the current context into the large language model for structured reconstruction to obtain a target reconstruction scheme output by the large language model. According to the method and the device, the code optimization effect is improved.

The invention relates to the technical field of preparation of drinking water capable of adjusting mineral content, and discloses a preparation method, device and equipment of drinking water capable of adjusting mineral content, the method comprises the following steps: obtaining target mineral content of a first waterway in real time, taking the target mineral content as a core input parameter, and combining with preset mineral content set by a user to obtain a target mineral content; the opening degree of the two independent valves is calculated and controlled in a linkage mode, so that the mineral content of the discharged water is the preset mineral content. The method has the beneficial effects that closed-loop accurate control on the mixing proportion is realized, upstream fluctuation caused by water quality change of raw water or performance degradation of a filter element can be automatically compensated, the mineral content of final effluent can stably reach a user preset value no matter how the water inlet condition changes, and meanwhile, the water quality of the water outlet can be effectively improved by independently controlling the two water paths respectively. The system can respond to the adjusting instruction more flexibly and quickly, and the intelligent level of water treatment equipment and the reliability of personalized drinking experience are remarkably improved.

The utility model relates to concrete technical field discloses fly ash content concrete's test simulation cabin that can simulate underground environment, including cabin body, the inside bottom wall of cabin body equidistance is opened with a plurality of ponding holes, the outer wall right side of cabin body is fixedly connected with fixed plate, the top wall of fixed plate is fixedly connected with water pump, one end of water pump is communicated in the outer wall right side middle lower portion of cabin body, the other end of water pump is fixedly connected with water pipe, water pipe is communicated in the outer wall right side middle upper portion of cabin body, the inside top wall of cabin body is installed with the shower head equidistance. In the utility model, motor drive connecting shaft rotates, connecting shaft drives gear no.

The invention discloses a common production line for concrete electric poles and tubular piles. The common production line comprises a material distribution room, a production room, a mold removal room, a universal mold treatment room, an independent mold treatment room, a universal material preparation room, an independent material preparation room and a mold closing room. The production room is located on the side face of the material distribution room, and the universal mold processing room and the universal material preparation room are sequentially arranged on the side face of the material distribution room and used for cleaning and assembling electric pole molds or pipe pile molds. The universal mold processing room and the universal material preparation room are adjacent to the production room in the longitudinal direction; the independent mold treatment room and the independent material preparation room are sequentially arranged in the transverse direction and are adjacent to the universal mold treatment room; the mold removal room is located in the universal mold treatment room and extends into the production room and between the independent mold treatment room and the independent material preparation room in the longitudinal direction; the mold closing room is located on the side face, close to the material distribution room, of the universal mold processing room and extends into the production room; and a plurality of hoisting devices for hoisting the molds are also arranged above the production line.

The application provides a food safety inspection robot control method and system based on industrial vision, which comprises the following steps: controlling the robot to start, obtaining environment point cloud information obtained by the robot based on an industrial vision device after omnidirectional scanning of a current food production environment; planning a path based on the environment point cloud information and a preset target inspection area, generating an initial inspection path, and controlling the robot to move along the initial inspection path; optimizing the initial inspection path based on obstacle information of obstacles collected by the industrial vision device during movement of the robot, and obtaining a target inspection path; controlling the robot to move to the target inspection area along the target inspection path, and performing safety monitoring on a food production process based on sensor data collected by a multi-dimensional perception sensor in the robot, and obtaining a food production safety monitoring result. The application improves the inspection efficiency and ensures efficient and stable inspection work.

The present application relates to the field of OTN resource matching, and more particularly to an OTN resource intelligent matching method based on artificial intelligence, comprising: inputting the preprocessed service demand, available wavelength resource, real-time bandwidth utilization and support OTU level into a feature extraction model based on a residual multi-layer perception architecture to generate a prediction base feature; inputting the prediction base feature into a feature interaction model based on a compressed interaction network architecture to generate a service comprehensive interaction feature; and inputting the service comprehensive interaction feature into an OTN resource matching model based on an expert gate network architecture to generate a recommended OTU level. Through the hierarchical intelligent model processing of the residual multi-layer perception architecture, the compressed interaction network architecture and the expert gate network architecture, the present application realizes the significant improvement in the accuracy, efficiency, adaptability and network operation value of OTN resource matching.

The utility model relates to automatic calibration detection technical field discloses a kind of automatic calibration detection devices of basketball inner tube surface flatness, including cabinet, the inside of the cabinet is provided with cleaning mechanism, the inner wall of the cabinet is fixedly connected with protective cover, the inner wall of the cabinet is fixedly connected with work platform, the top of the work platform is fixedly connected with two friction balls, the outside of the work platform is provided with buffer mechanism, the cleaning mechanism includes two rollers, the outer wall of the two rollers is fixedly connected in the left side of cabinet, the adjacent side of two the roller is fixedly connected with powerful fan. In the utility model, the cleaning effect is strengthened by blowing impurities to the processing area outlet hole through roller and powerful fan, the dropped sundries is separated from the friction ball when the equipment moves at high speed, the dirt cleaned is sucked into collection tank through collection hole by negative pressure pump, the positioning of fan is carried out through gear, and the cleaning efficiency can be effectively improved.

The invention provides an adjustable load capacity analysis, regulation and control method for a virtual power plant, and relates to the technical field of power system operation and control, and the method comprises the following steps: S1, multi-source data collection and processing: collecting electrical parameters, non-electrical parameters and power grid dispatching instructions of various adjustable loads; s2, classifying adjustable loads, and dividing the adjustable loads into a plurality of grades; s3, constructing a multi-dimensional adjustable load capacity evaluation index system; s4, weighting calculation: carrying out weight calculation on the multi-dimensional adjustable load capacity evaluation index system based on an improved particle algorithm; s5, establishing a dynamic hierarchical collaborative regulation and control strategy, and establishing the dynamic hierarchical collaborative regulation and control strategy according to the power grid dispatching demand type; s6, a prediction model is constructed, and a load response prediction model is constructed; s7, executing an instruction; according to the multi-dimensional characteristic, powerful support is provided for accurate regulation and control, a multi-dimensional evaluation index system is constructed, the load capacity is comprehensively evaluated, and optimal configuration of resources is achieved.

The invention relates to an enterprise collaborative office management method and system, and relates to the technical field of enterprise management, and the method comprises the steps: obtaining resource use data in enterprise office; analyzing the resource use data through a threshold judgment model, and when the value of the resource use data exceeds a preset threshold, executing a resource allocation algorithm to minimize the total resource allocation deviation and load imbalance; in response to completion of execution of the resource allocation algorithm, sending an adjustment instruction to the cloud resource management platform, and adding resource allocation to the server of the enterprise; obtaining and analyzing workflow data of an enterprise, and identifying project delay factors to obtain a corresponding analysis result; according to the analysis result, executing a workflow adjustment algorithm to minimize task delay and task load imbalance; and analyzing the event mode in the working data flow, and executing an event response algorithm to optimize the event mode so as to maximize the event response efficiency and the resource utilization rate. The office management effect of an enterprise system can be improved.

Embodiments of the present application disclose a kind of energy-saving mode determination method, device, electronic equipment and storage medium.Therein, the method comprises: according to the single light intensity of each lamp bead corresponding to the target area of display screen, determine the lamp bead light intensity of target area on each component;According to the video gray value and lamp bead light intensity of target area on each component, respectively calculate the black factor on each component, wherein the black factor is used to indicate the black screen degree of the target area;According to the black factor of target component and preset black factor threshold, judge whether target component enters energy-saving mode.The technical scheme, by combining video gray information and lamp bead light intensity, determines the black factor of the target area of display screen on each component, to judge whether the display screen enters energy-saving mode according to the black factor, and realizes component control to RGB, which can flexibly cope with the influence caused by different environments.

The invention relates to an information guidance strategy generation method, device and equipment in a multi-subject interaction scene, and relates to the technical field of reinforcement learning. The method comprises the following steps: defining a plurality of execution subjects participating in information guidance, and constructing a social network basic model; building a multi-agent strategy iteration framework, and initializing a strategy pool of each execution main body; generating a strategy interaction matrix through multiple rounds of simulation; solving an equilibrium strategy of each execution main body under the strategy interaction matrix, training an optimal response strategy and supplementing the optimal response strategy to a strategy pool to obtain an optimization strategy set; according to the optimization strategy set, the budget constraint and the node selection cost rule, the execution subjects select seed nodes from the social network basic model in sequence to deploy an information spreading starting point; and after the budget of all the execution subjects is used up, completing viewpoint evolution of all nodes in the social network basic model according to a viewpoint updating mechanism, and outputting an information guide strategy. According to the invention, a multi-agent cooperation strategy, dynamic viewpoint updating and resource optimization distribution can be integrated.

This utility model discloses a rubber processing open mill, relating to the technical field of rubber open mills. It includes a rubber processing assembly with a guide adjustment component installed on it. Two raw material guides are threadedly connected to the guide adjustment component, and two scrapers engage at the contact points between the bottom of the raw material guides and the rubber processing assembly. This utility model integrates the guide adjustment component and the raw material guides. The guide adjustment component uses a servo motor to drive a reverse-threaded screw, enabling the two raw material guides to synchronously adjust their spacing, precisely controlling the rubber processing width. The raw material guides, through the cooperation of a lifting block and a limiting rod, can dynamically adjust the scraper pressure, ensuring uniform distribution of raw material on the processing roller surface. The hinged scraper design, combined with the guide angle adjustment component, can flexibly adjust the deflection angle according to the characteristics of the raw material, effectively gathering or dispersing rubber particles.

The invention discloses a method for improving complex oil reservoir discovery and application, on the basis of obtaining detailed well drilling and logging data and well logging interpretation data, evaluation of reservoir rock wettability is innovatively introduced, and the key parameter provides a unique view angle for understanding reservoir fluid behaviors and predicting oil and gas distribution. Through comprehensive analysis of the information, the method can more accurately describe the contour of the complex oil reservoir and identify a potential high-quality reservoir, so that the discovery probability of the complex oil reservoir is remarkably improved, in addition, the importance of dynamically adjusting a swabbing liquid drainage mode and parameters is emphasized, and the method has a good application prospect. It is ensured that flexible response can be carried out according to real-time feedback in the exploration process, and the exploration effect is further optimized. Due to the flexibility and adaptability, the method can show a good application effect in different types of complex oil reservoirs under different geological conditions, finally, according to the optimized swabbing result, the development value of an exploration target layer can be scientifically and objectively judged, and powerful data support and theoretical basis are provided for decision makers.

This application discloses an adaptive inventory management method and apparatus for multi-tenant environments. The method includes: receiving an inventory operation request from a target tenant, the request carrying a target tenant identifier and an operation type; obtaining a target control mode corresponding to the target tenant identifier, including a forced source mode, a weak source mode, and a source-and-no-source coexistence mode. The forced source mode allows the creation of documents associated with upstream orders, the weak source mode allows the creation of multi-source documents and automatically adjusts process nodes, and the source-and-no-source coexistence mode allows both source-based and source-less operations; adjusting the operation permissions of preset business process nodes according to the target control mode to obtain the target business process node adapted to the request; and updating the inventory status based on the operation type and the target business process node to obtain the inventory operation execution result. Using this application, the needs of medium-sized enterprises of different sizes and business models can be adapted to the differentiated requirements of two types of documents under multi-tenant environments.

The utility model relates to a kind of reconfigurable mobile chassis of cabin inspection operation robot based on multi-modal perception, including multi-modal perception device, chassis inspection movement device and reconfigurable chassis device;The multi-modal perception device is used to realize the comprehensive mapping of cabin environment, obstacle detection and autonomous positioning;The chassis inspection movement device is used to ensure that robot slows down in moving and working process Bumping, realizes autonomous inspection operation;The reconfigurable chassis device is used to realize the structural quick adjustment of robot, function extension and environmental adaptation according to cabin space and task demand.This utility model is compact in overall structure, reconfigurable, and has high precision in sensing ability, good robustness in motion control, suitable for intelligent inspection operation in closed industrial scene such as cabin, with good engineering deployability and practical application value.

The utility model discloses an engine suspension support for a pipelayer, and relates to the field of pipelayer equipment. An engine suspension support for a pipe lifting machine comprises two connecting plates, screw rods inserted into fixing lugs at the lower ends of the two sides of an engine cylinder are symmetrically and fixedly connected to the connecting plates, the engine suspension support further comprises a supporting frame plate installed on the pipe lifting machine, and two limiting plate shells are symmetrically and fixedly connected to the supporting frame plate; the vertical plate is fixedly connected to the lower end of the connecting plate; the pressing plate is fixedly connected to the lower end of the vertical plate; the air supply air bag is arranged at the lower end of the interior of the limiting plate shell, and one-way valves are installed at an air inlet and an air outlet of the air supply air bag; the engine is fixed and released through compression and release of gas, a bolt does not need to be screwed repeatedly, the mounting and dismounting process of the engine is greatly simplified, the dismounting and mounting efficiency is remarkably improved, and manpower and time cost is saved.

This invention discloses an AI data processing system for speech recognition devices. The system includes a data acquisition unit, a preprocessing unit, a noise detection unit, a joint adjustment unit, a feature optimization unit, and a recognition output unit. Each unit establishes a closed-loop collaborative processing link through data interaction. The data acquisition unit is used to simultaneously acquire the original speech data of the object to be recognized and the environmental noise data of the corresponding scene. The preprocessing unit is used to perform unified and standardized preprocessing operations on the two types of data. This invention relates to the fields of speech recognition and artificial intelligence technology. This AI data processing system for speech recognition devices, through a dynamic noise model and intelligent adjustment algorithm, can adapt to different noise environments in real time, generating accurate dynamic adaptation parameters, thereby effectively suppressing noise and enhancing the clarity of the speech signal. This significantly improves the accuracy of speech recognition in complex noise environments.

The application discloses a kind of automatic driving test problem diagnosis method, device, equipment and storage medium, method includes: from vector database inquires target document relevant to the description of the test problem of driving system, vector database includes the description document of different functional modules in driving system;According to test problem description and target document, using preset large language model carries out multi-round analysis and obtains diagnostic result.Through inquiring target document relevant to current problem, to obtain necessary effective information while reducing the text amount that large language model needs to process.Because large language model can automatically understand and analyze complex data through natural language processing capability, without relying on predefined rules, this enables large language model to flexibly and intelligently cope with various test problems, and large language model is analyzed through multi-round thinking, the next analysis depends on the output of last time, to obtain accurate diagnostic result, improves the comprehensive diagnosis of test problem.

The application discloses a kind of robot post-disaster rescue collaboration methods based on deep learning and large language model, by introducing " reflection mechanism " in natural language processing, realize task semantic analysis, dynamic optimization and adaptive scheduling.Large language model generates task semantic graph and combines reinforcement learning to adjust priority in real time, form closed-loop task reflection and optimization process, greatly improve the flexibility and adaptability of robot in complex environment.Design " distributed perception bridge " module, through attention mechanism dynamic screening and sharing key perception data, realize the efficient cooperation of heterogeneous robot, even in the condition of unstable communication still can guarantee rescue efficiency.Based on the reinforcement learning model driven by environmental characteristics, real-time perception of physical properties such as fragment density and slope, optimize behavior strategy, improve the generalization ability and robustness of model.Through " force-semantic coupling " motion planning, dynamically adjust the operation path and force of manipulator, improve the success rate of complex task.

The utility model discloses a kind of fancy core yarn twisting package mechanisms with gradual change color effect, including core wire unwinding and twisting mechanism, core wire tension control mechanism, take-up mechanism, wire covering and wrapping mechanism, guide mechanism, support, T type guide tube in the utility model can be replaced, when guide hole appears aperture variation etc. When the problem of long-term use, only need to replace new T type guide tube, guide precision can be restored, ensure that wire covering can be accurately, stably wrapped on core wire, ensure that the quality of fancy core yarn with gradual change color effect is stable and reliable, solve the problem that guide tube in the structure is not replaceable, flexibility is not enough when for different diameter core wire or wire covering, simultaneously, due to wire covering frequent through guide hole friction, aperture may be enlarged for long-term use, affect guide precision.

The embodiment of the invention provides a metering automation calibrating device and system supporting multiple platforms. In one specific embodiment, the device comprises an instruction library module, a verification item library module, a document template library module and an execution module, according to the implementation mode, through the instruction library, the verification item library and the document template library, traditional code development is converted into visual configuration, the technical threshold is greatly lowered, the development period is greatly shortened, and a user can flexibly customize regulations, instruments and reports. The system execution module automatically drives the whole process from instrument control to report generation, efficiency is improved, manual errors are avoided, and accuracy and reliability of results are guaranteed. Meanwhile, the system supports diversified hardware and an operating system platform, the problems of technical dependence, safety risks and compatibility are effectively avoided, and a foundation is laid for achieving autonomous controllability of metrological verification tools.

The application discloses a kind of multi-robot navigation reinforcement learning methods based on buffer Voronoi unit, it is related to multi-agent navigation technical field.Based on the current position information of robot, the corresponding Voronoi unit is constructed, and each boundary of Voronoi unit is translated inwardly by the distance of the physical radius of robot, to generate buffer Voronoi unit;The distance between the current navigation point and each adjacent robot navigation point is calculated;If there is distance less than the physical radius of robot, then the current navigation point is offset angle in counterclockwise direction along the boundary of Voronoi unit, to generate new navigation point;New navigation point is projected on the boundary of buffer Voronoi unit, to obtain the current target navigation point;According to the self-observation information and external observation information of robot, determine the observation space, generate the action of robot based on the observation space and the trained strategy network, and determine the linear velocity and angular velocity of robot in the next iteration round based on action.The method improves the success rate of robot obstacle avoidance.

The utility model relates to a dust removal device, it includes casing, air extraction unit, dust collecting unit, blow unit and prilling unit, prilling unit includes box, two prilling rollers and drive assembly, the outer surface of each prilling roller is equipped with recess, two prilling rollers contact each other and the recess on it mutually cooperate and form a plurality of granulating units in relative position, the width of recess gradually reduces from the opening end to the bottom, and its maximum depth is less than the maximum width. Through setting prilling unit on dust removal device, can suck into dust chamber's flying dust accurate extrusion into dense granular, further through the optimization to prilling roller, make the particle after extrusion more compact firm, will not because drop on the conveyer belt and cause structural damage or because the belt vibration, material impact influence and raise again, avoid the occurrence of secondary flying dust. In addition, the equipment can flexibly cope with the dust produced by different materials, and the versatility is good.

The invention belongs to the technical field of computers and artificial intelligence, particularly relates to an auxiliary teaching material generation method and system based on an artificial intelligence technology, and aims to solve the problems that existing teaching materials are low in production efficiency, insufficient in individuation degree and difficult to generate visual materials. The method comprises the steps of obtaining and analyzing a teaching material generation request to determine a teaching range requirement and a core knowledge point; according to the requirements and the core knowledge points, aggregating related contents from a plurality of resource libraries, and extracting and generating a hierarchical knowledge point structure by using an artificial intelligence large model; and generating at least one teaching material including an interactive animation, a knowledge card or a mind map based on the knowledge point structure. According to the invention, the teaching materials can be automatically, intelligently and individually generated, the lesson preparation efficiency is remarkably improved, the expression form of the teaching resources is enriched, and the teaching effect is improved.

This utility model discloses a fire sprinkler system, including a vehicle shed and sprinkler components. The vehicle shed includes a main frame, supporting horizontal pipes, and a canopy. The canopy is located on top of the main frame, and the supporting horizontal pipes are fixed to the main frame and abut against the bottom of the canopy. The sprinkler components include a sprinkler riser connected to a fire hydrant network and at least one sprinkler branch pipe connected to the sprinkler riser. The sprinkler riser is fixed to the main frame, and the sprinkler branch pipes are located inside the supporting horizontal pipes. Each supporting horizontal pipe has at most one sprinkler branch pipe, and each sprinkler branch pipe has at least one fire sprinkler head passing through the supporting horizontal pipe. This utility model can provide shelter and protection for vehicles while meeting the requirements for efficient fire suppression.

The utility model relates to the technical field of water conservancy projects, and discloses a water conservancy project gate leakproof sealing device which comprises a gate body and protective covers bolted to the two sides of the surface of the gate body, and further comprises transmission plates sliding on the inner walls of the protective covers, mounting grooves are formed in the surfaces of the transmission plates, and transmission mechanisms are arranged in the protective covers; through the cooperation of the transmission plate, the transmission mechanism and the waterproof rubber plate, when gaps exist on the two sides of the gate body, the gaps can be shielded, it can be ensured that the gate body plays a proper role at the critical moment, and therefore the reliability of the water conservancy project is improved, different water flow conditions can be more flexibly coped with, and the water conservancy project safety is improved. And stable operation of a water conservancy project under different working conditions is ensured, under cooperation of the inserting groove, the sliding groove and the limiting mechanism, the waterproof rubber plate can be rapidly replaced, the whole device does not need to be replaced, investment of manpower and material resources is reduced, and therefore the replacement and maintenance cost is reduced, and the safety performance of the gate body can be ensured.

This invention provides a method and system for taking over autonomous driving in vehicles. The method includes the following steps: identifying the driver's fatigue level based on real-time acquired facial images; outputting corresponding reminders based on the driver's fatigue level, and selecting between maintaining vehicle operation through autonomous driving or controlling the vehicle to pull over through autonomous driving. This invention can provide safety reminders while automatically activating different levels of autonomous driving functions, effectively reducing vehicle safety accidents caused by sudden health issues of the driver.