57results about How to "Improve execution" patented technology

The invention discloses an intelligent sales method, device and equipment based on a large model Agent and a medium, and relates to the field of intelligent sales, the method comprises the following steps: using a large language model to carry out intention analysis on a user problem, determining whether a tool matched with the user problem exists, and obtaining a judgment result; if the judgment result is no, generating an answer to the user question by using a large language model and a system instruction, and feeding back the answer to the user; and if the judgment result is yes, determining a tool matched with the user question as a target tool, calling an external resource corresponding to the target tool by utilizing the target tool, generating an answer to the user question, and feeding back the answer to the user. According to the method, the practicability, the efficiency and the real-time performance of the large language model in a sales environment are improved, and the difficulty of intention recognition is reduced.

The invention relates to the technical field of medical blood inventory management, in particular to a blood product intelligent inventory management method and system based on medical big data. The method comprises the following steps of generating historical treatment desensitization record data through collection and desensitization processing of historical treatment record data of the dermatology department, and further extracting treatment dosage data of skin disease blood products among different cases. And based on the desensitized historical data, carrying out recovery capability difference simulation evaluation, generating recovery capability difference evaluation data, and predicting future usage demand data based on the recovery capability difference evaluation data. Then, pre-allocation optimization is carried out on the current inventory in combination with the prediction data, and pre-inventory allocation optimization data is generated; and finally, performing automatic management architecture design on the optimized data, and importing the management architecture into a medical management system. The medical blood inventory management technology is optimized, so that the medical blood inventory management technology is more perfect.

The present application proposes a standard-based data asset governance method, including extracting link descriptions and link IDs of a data governance process; accessing a standard library that the data asset process depends on to obtain standard file descriptions and standard file IDs that constrain the data governance process; performing attention analysis on link descriptions and standard file representations to obtain a standard compliance matching graph; constructing a standard metadata model based on the standard compliance matching graph, and encoding the standard metadata model to obtain a standard mapping table to construct a standard data governance rule engine; assigning roles to a data-based governance organizational structure, and establishing a workflow control model between the assigned roles and link descriptions; establishing an object collaborative mapping framework between the workflow control model and the standard data governance rule engine to perform standard data asset governance tasks based on the object collaborative mapping framework.

The invention relates to intelligent mounting equipment of a lamp and a control method thereof, and belongs to the field of lamp mounting equipment. The intelligent mounting equipment for the lamp comprises a base, a first mechanical arm, a second mechanical arm, a drilling machine, a first clamp, a second clamp and three cameras. And a processor is arranged in the base. The processor controls the second mechanical arm to be matched with the first mechanical arm to control the bolt to be matched with the mounting hole to fix the lamp, in the operation process, the visual system is accurately aligned to the drilling position of the drilling machine, the second mechanical arm is matched with the first mechanical arm to take the lamp to be matched with the bolt for assembly, and the lamp can be fixed even in a complex environment. And the problems that when an existing device works in a complex environment, precise positioning during lamp installation and standard drilling of a drill bit cannot be guaranteed are solved.

One or more embodiments of the invention provide a question and answer method and device based on a large language model, and the method comprises the steps: obtaining a query text which is input by a user and corresponds to to-be-processed table data, and generating a prompt text corresponding to the large language model based on the query text; wherein the prompt text comprises a query text and an indication text used for indicating that the answer text can contain a data processing instruction corresponding to the table data; inputting the prompt text into a large language model, and generating an initial answer text corresponding to the query text by the large language model under the guidance of the prompt text; wherein the initial answer text comprises a data processing instruction corresponding to the table data; executing the data processing instruction to obtain a data processing result corresponding to the data processing instruction; and updating the initial answer text based on the data processing result to obtain a final answer text corresponding to the query text, and outputting the final answer text to the user.

The invention relates to the technical field of building engineering, in particular to a BIM (Building Information Modeling)-based ship lock engineering virtual construction system, which comprises a project information management module, a process management module, an engineering decomposition structure management module, a mobile terminal module, a plan management module, a progress tracking module, an order management module and a progress 4D simulation module, the project information management module provides project information for the process procedure management module and the project decomposition structure management module; the process and process management module defines a construction process and a process according to project information, and is bound with components of the project decomposition structure management module; the engineering decomposition structure management module is responsible for generating decomposition structures and codes of the components; the plan management module formulates a project progress plan based on the generation information of the project decomposition structure management module; the progress tracking module monitors the progress of a construction site in real time, if the progress accords with a plan, a material order is generated through the order management module, and if the progress is abnormal, the material order is fed back to the plan management module for adjustment; the mobile terminal module provides progress update to the plan management module, and submits a production order to the order management module at the same time; and the order management module ensures synchronization of material supply and construction according to the order, and shares progress data with the progress 4D simulation module to generate dynamic visual display of the construction progress.

The invention provides a dexterous manipulator fused with an ontology visual perception function, and belongs to the technical field of electromechanical control. The depth camera is arranged in the palm, the size of the device is remarkably reduced, the size of the device is closer to the size of a human hand, and therefore flexibility and naturalness are improved, the depth camera and a control system are highly integrated, the structure is simplified, synchronism of visual data and hand actions is improved, operation precision is improved, the dexterous manipulator has 16 degrees of freedom, and the flexibility and the reliability of the device are improved. The system is completely driven by a steering engine, the operation flexibility and the fine action execution capability are greatly improved, the requirements of complex tasks are met, the production and maintenance cost is effectively reduced through optimization design and reduction of external accessories, multiple objects are positioned at the same time through a developed instance-level multi-target positioning method and by using a neural network, pre-training is not needed, and the operation efficiency is improved. The space perception capability of the dexterous hand is further improved, and the autonomous operation capability of the dexterous hand in a complex environment is enhanced.

The invention discloses an intelligent project evaluation method supporting a custom standard and multi-dimensional semantic analysis. The method comprises the following steps: constructing an overall standard system according to a project evaluation standard; data arrangement, corpus cleaning, automatic sample generation, sample generation, index evaluation model design and model training are carried out on the basis of collected enterprise historical project materials, finally, an index evaluation model library is generated, and the index evaluation model library is managed in a mode of combining product life cycle management (PLM) and language model (LLM) so as to construct an index evaluation model; performing qualitative evaluation and quantitative evaluation on the enterprise project review material; and comprehensively considering the constructed evaluation standard system, the index evaluation model and the report content quality evaluation result, and intelligently generating a quality evaluation report. The method has the remarkable beneficial effects of improving the evaluation efficiency, reducing the cost, enhancing the evaluation accuracy and objectivity and the like.

This invention relates to the field of multi-UAV cooperative control and target detection technology, specifically to a multi-UAV cooperative search method for underwater targets, comprising: acquiring a probability distribution heatmap; determining UAV parameters and sensor parameters, and establishing the fitness of a genetic algorithm based on the time taken for multiple UAVs to complete all search tasks, total flight time, weights of high-risk hotspots, and arrival times at each target hotspot; optimizing the genetic algorithm based on the probability distribution heatmap and the fitness to obtain an optimal task allocation sequence; performing Dubins transition and spiral search based on the optimal task allocation sequence, the minimum turning radius of the UAVs, and the maximum allowable distance between adjacent routes to obtain a flight path; and for each UAV, tracking the flight path based on the real-time position of the UAV and the eccentricity of the flight path. This invention can improve the anti-interference capability and efficiency of multi-UAV cooperative target detection.

The invention relates to the technical field of control equipment, and discloses a three-redundancy-based electromagnetic valve control system which comprises a time delay relay circuit, a DC / DC and anti-reverse circuit and a three-redundancy control circuit, the time delay relay circuit comprises a first time delay relay, a first rectifier diode, a first control module, a second control module and a third control module, and the first control module, the second control module and the third control module are connected in parallel. The first control module, the second control module and the third control module are respectively connected with three groups of different electromagnetic valve control signals, and any group of electromagnetic valve control signals effectively control the first delay relay to work; the DC / DC and anti-reverse circuit comprises a first DC / DC conversion circuit and a first ideal diode; the triple-redundancy control circuit comprises a fourth control module, a fifth control module and a sixth control module which are connected in parallel, one end of the first control module is connected with the negative electrode of the electromagnetic valve working power supply, the other end of the first control module is connected with the other end of the electromagnetic valve, and any group of electromagnetic valve control signals effectively control the electromagnetic valve to work. By adopting the method, three-redundancy control can be realized, and the reliability of an electromagnetic valve control system is improved.

The application discloses a farmland planning analysis method and system based on satellite data, relates to the technical field of farmland planning analysis, and comprises the following steps: obtaining multi-satellite image data of a target farmland area, pre-processing and performing semantic segmentation, constructing a binary image, fitting line segment endpoints, forming a farmland closed polygon, obtaining agricultural machinery parameters, forming constraint conditions, performing regional decomposition on the farmland closed polygon based on the constraint conditions, forming a plurality of sub-regions with continuous operation attributes, constructing a bidirectional optional coverage path and a state set, judging the direction consistency of the path connection relationship between the sub-regions according to the coverage path, generating a complete path for division and evaluation based on the judgment result, and performing local path reconstruction according to the evaluation result to obtain a complete continuous path as the farmland planning analysis result. The application significantly improves the intelligent level of farmland planning analysis.

The invention relates to the technical field of information processing, in particular to a configuration word data extraction method based on a credential environment, and the method comprises the following steps: S1, constructing an extraction content template and a query positioning rule; s2, constructing a target paragraph set; s3, analyzing and processing the text and the table; s4, post-processing an extraction result; and S5, outputting an extraction result. Compared with the prior art, the method has the advantages that an openjdk poi technology is adopted to analyze the Word document, through high configuration and flexibility, a user is allowed to customize an extraction rule according to needs, and data in the document is accurately positioned and processed through a regular expression and a synonym dictionary. Through integration of JSON and Kafka, standardized output of data and efficient data stream processing are realized. According to the technical scheme, the adaptability of the method in the Kylin environment is embodied in that the method can be compatible with a domestic operating system and a software environment, and the requirements of domestic users for data processing and information security are met.

The application discloses an immersive neural rehabilitation training method based on virtual reality, and particularly relates to the technical field of neural rehabilitation training, and comprises the following steps: acquiring action data, tactile data, proprioceptive data and gaze data when a trainee performs a target action, performing uniform time sequence alignment on the data in a virtual reality environment, reorganizing according to a starting section, a pushing section and a reaching section of the target action, and outputting a target action response sequence; performing segmented comparison on the differences of multi-source responses of the target action under the conditions of visual weakening, tactile weakening and proprioceptive weakening to determine a perception dependency relationship, rearranging the prompt items and feedback items in the virtual reality scene according to the perception dependency relationship, and then performing recovery checking on the rearranged results.

The invention relates to the technical field of filtering algorithms, and discloses a filtering algorithm implementation method based on an RISC-V architecture, a coprocessor, computer equipment and a computer readable storage medium in order to solve the problem that an implementation mode of an existing filtering algorithm is low in execution efficiency. The method comprises the following steps: obtaining a filtering algorithm, wherein the filtering algorithm comprises a 128-order FIR module, an EQ module and a mute module; defining a first instruction, a second instruction and a third instruction for a filtering algorithm; a first instruction, a second instruction and a third instruction are called, corresponding operation in a filtering algorithm is executed, the first instruction is used for achieving multiplication and addition operation in the FIR module, the EQ module and the mute module, the second instruction is used for achieving multiplication and subtraction operation in the EQ module, and the third instruction is used for achieving multiplication and subtraction operation in the EQ module. The third instruction is used for carrying out zero clearing on a register used for caching the multiply-add operation and multiply-subtract operation results before each calculation. By adopting the method, the execution capability of the processor on the filtering algorithm can be improved on the basis of increasing the richness of the instruction set of the processor.

The present invention relates to the field of industrial Internet technology, and in particular to a data processing method based on an industrial Internet data platform. The method comprises the following steps: using the industrial Internet data platform to process industrial production context and generate real-time industrial production context data; constructing a production process constraint knowledge graph based on the real-time industrial production context data; using the production process constraint knowledge graph to match order priorities and generate order priority allocation data; performing production plan conflict detection based on the order priority allocation data to obtain subtask production conflict data; performing flexible scheduling processing based on the subtask production conflict data to generate conflict-free production subtask network data; performing key task path chain identification based on the conflict-free production subtask network data to obtain final production plan data. The present invention eliminates conflicts in production plans and significantly improves production efficiency through flexible scheduling of task chains.

The self-deformation soft microrobot comprises a petal-shaped structure capable of being closed to form a closed space, the petal-shaped structure comprises a magnetic particle layer and a pH response layer capable of responding to pH stimulation, and the magnetic particle layer and the pH response layer are both soft material layers; the magnetic particle layer is a PDMS hydrogel layer mixed with magnetic particles; the pH response layer is a PHEMA hydrogel layer; the magnetic particle layer and the pH response layer form a bridging network through a thermocuring method; the pH response layer can assist the magnetic particle layer, so that the soft micro-robot can generate a better deformation effect; the outer edges of the petal-shaped structures are provided with micro burr structures with hydrophobic performance, the micro burr structures are arranged along the outer edges of the petal-shaped structures in an array mode, a hydrophobic array can be formed between every two adjacent petal-shaped structures, a solid-gas-liquid three-phase diaphragm is formed, edge gap sealing after deformation of the soft micro-robot is achieved, liquid permeation can be effectively prevented, and the service life of the soft micro-robot is prolonged. And it is ensured that drugs and collected objects loaded by the soft micro-robot cannot be polluted in the intestinal environment.

The invention discloses an optimal path planning method of a pulse coupling neural network based on double constraints. The method comprises the following steps: mapping a path planning environment to a DC-PCNN network; a DC-PCNN neural network model is constructed, and all neurons are initialized; activating a target neuron, and recording the current neuron as a father node; calculating an exponential decay function of the torque deviation, and multiplying the calculated value as a penalty factor by an update item of the internal activity item; calculating a gravitational function value of the flow field constraint, and using the calculated value to update a current neuron dynamic threshold value; comparing the internal activity item with a dynamic threshold; when gt; if yes, activating the neuron, and recording the current neuron as a father node; repeating the steps S4-S6 until the initial neuron is activated; and backtracking all activated nodes, and planning an optimal path. According to the method, the search efficiency is remarkably improved while the path optimality is ensured.

The application relates to a compiled graph fusion optimization method, device, equipment, storage medium and computer program product. The method comprises the following steps: acquiring breakpoint information corresponding to a plurality of operation logic segments generated in a front-end tracking process of a computation graph compilation, the breakpoint information comprising operation information triggering a breakpoint, context tensor attributes and a dependency relationship, the dependency relationship being an association relationship between the operation triggering the breakpoint and the context tensor; based on the operation information triggering the breakpoint, the context tensor attributes and the dependency relationship, performing fusion reconstruction on the plurality of operation logic segments to obtain at least one fused logic segment; and performing back-end compilation based on the at least one fused logic segment to obtain compilation information of the computation graph. The method can reduce graph breakpoints.

The invention discloses a method and system for optimizing a quantum bit CZ gate and a quantum computer, and the method comprises the steps: enabling two adjacent quantum bits to be located at a working point, and closing a coupler between the two adjacent quantum bits; applying a pulse signal to the coupler, and obtaining two quantum bits which are both 1gt and connected with the coupler; a relationship between the occupancy probability of the state and the pulse signal; wherein the pulse signal is used for adjusting the working frequency of the coupler; using a Ramsey experiment on two adjacent quantum bits to obtain a relation between a conditional phase and the pulse signal; and obtaining a parameter of the pulse signal when the occupancy probability is greater than a first set value and the condition phase theta < contro > is equal to the condition phase theta < contro >. The pulse signal is applied to the coupler connected with the two quantum bits, the pulse signal is high-frequency pulse and almost single-frequency pulse, pulse distortion caused by the circuit can be ignored, time consumed by distortion calibration can be saved, and a CZ gate with high execution degree is achieved.

The application discloses a supply chain link risk analysis method based on a block chain and big data, and comprises the following steps: S1, collecting multi-source heterogeneous data in a physical supply chain network, constructing a distributed ledger and a unified knowledge structure, and chaining and solidifying the cryptographic hash digest of core data, the application has the beneficial effects that: by collecting multi-source heterogeneous data in the physical supply chain and constructing a graph structure knowledge representation, the temperature, humidity, vibration, position and other physical states are mapped to the environment on the alliance chain in real time; the system can not only perceive the risk in advance, but also automatically execute multi-objective optimization and parallel simulation verification through the smart contract, so that the emergency scheme with better comprehensive performance considering the cost, time efficiency and reputation is screened out before the physical loss occurs; the mechanism helps to alleviate the problems of perception lag, decision dependence on artificial and slow response in the traditional supply chain, realizes the full-process automation closed loop from risk early warning to scheme execution, and is favorable for reducing the actual loss caused by supply interruption or quality accidents.

The embodiment of the invention provides a micro-architecture performance analysis method and device, a readable storage medium and a program product, and relates to the technical field of computers, the method comprises the following steps: respectively collecting micro-architecture events generated when a micro-architecture executes each function of a predetermined application program; determining each predetermined performance index corresponding to each function based on a preset index evaluation model of the micro-architecture and the micro-architecture event corresponding to each function; and performing performance analysis according to each predetermined performance index to obtain a performance analysis result of each function running on the micro-architecture. According to the performance analysis method provided by the embodiment of the invention, the accuracy of a performance analysis result can be improved.

The embodiment of this specification provides a method and system for drawing an airport noise map, wherein the method includes: obtaining basic airport information; collecting airport automatic dependent surveillance-broadcast (ADS‑B) flight data through the Internet, and obtaining the airport's real track type and flight procedure based on the ADS‑B flight data; constructing an airport noise model based on the airport basic information and the real track type to obtain airport noise simulation data; and correcting the parameters of the airport noise model through an airport noise model verification method to draw an airport noise map. A low-cost and convenient airport noise map drawing method can be provided for the treatment of airport noise pollution.

The invention provides a method for realizing an action, a related device and a computer program product, and the method comprises the steps: determining an action code based on an action destination Probuf file capable of realizing the action in response to the detection that a corresponding action code is not configured for the action in Hvigor; an action code is provided for the Hvigor; and executing the action code in the swan environment by utilizing Hvigor so as to realize the action in the swan environment. Therefore, the code support capability for the action can be provided in the swan-gap environment, and the execution capability for the action in the swan-gap environment is improved while the code configuration requirement for realizing the action is simplified and the implementation difficulty of the action is reduced.

Embodiments of the present specification provide a method and device for training a multi-task model, wherein the multi-task model comprises a backbone network for determining a user representation, and k head networks for performing k user prediction tasks based on the user representation. The method comprises: determining, based on m user samples, k sets of original gradient vectors of the k user prediction tasks with respect to the backbone network, wherein each user sample comprises a user feature and k user labels; mapping the k sets of original gradient vectors to a subspace of an original space in which the k sets of original gradient vectors are located, to obtain k sets of mapped gradient vectors; determining r weights corresponding to the r spatial dimensions of the subspace based on the component distribution of the k sets of mapped gradient vectors on the r spatial dimensions of the subspace, and performing weighted processing on the r dimensional components of each mapped gradient vector respectively by using the r weights to obtain k sets of weighted gradient vectors; and mapping the k sets of weighted gradient vectors back to the original space to obtain k sets of processed gradient vectors, which are used to update the network parameters of the backbone network.

The invention discloses a multi-level urban hotel industry water footprint differentiation evaluation method, and the method comprises the following steps: 1, determining evaluation indexes which comprise basic requirements, control indexes and measure indexes; 2, water footprint accounting, wherein water footprints are divided into direct water footprints and indirect water footprints; 3, making a water-saving evaluation table, and scoring according to the water-saving evaluation table; and step 4, dividing different grades according to the scoring condition, namely performing differentiation evaluation on the water footprint of the hotel industry, and dividing a corresponding water-saving grade according to an evaluation result. The invention belongs to the technical field of hotel industry water resource management evaluation, and solves the problems of poor operability, incomplete consideration factors and poor limitation in the prior art.

The present application provides a method, device, equipment and machine-readable storage medium for processing multi-table connections, including: generating a first detection execution plan according to a multi-table connection query request; inputting a first detection feature corresponding to the first detection execution plan into a trained target network model, and obtaining a second detection feature by the target network model according to the first detection feature; generating a second detection execution plan based on the second detection feature; wherein the connection sequence in the second detection execution plan is different from or the same as the connection sequence in the first detection execution plan; and performing multi-table connection query processing based on the second detection execution plan. Through the technical solution of the present application, a better execution plan can be found, and the execution plan of the database can be optimized to improve the efficiency of multi-table connection queries in the database.

This application discloses a reminder method, device, electronic device, and computer-readable storage medium, relating to the field of health management technology. The method includes: determining the proximity of a user's medication anchor point based on the location of the target medication and the user's location; predicting the risk of medication unavailability based on the target medication's dosing plan, the user's historical outing patterns, calendar busyness, historical medication carrying success rate, and proximity to the medication anchor point; predicting a target medication preparation time window based on the distance between the user and the medication anchor point, the user's busyness level, and current activity status; continuously monitoring the real-time distance between the user and the medication anchor point, and the user's real-time busyness within the target medication preparation time window; and pushing a medication preparation reminder to the user when the real-time distance is less than a distance threshold and the real-time busyness is less than a busyness threshold for a specified duration. Thus, this solution ensures that the medication is readily available to the user when the scheduled dosing time arrives.

The invention discloses a method for calibrating an optical axis and an inertial navigation axis of an optical system in an airborne environment, and belongs to the technical field of optical system calibration. The method comprises the following steps: designing an inertial navigation axis calibration device, wherein the inertial navigation axis calibration device comprises a point light source, a light emitting / returning mirror group and an image sensor; a first test light path between the inertial navigation axis and the inertial navigation axis calibration device is constructed, a point light source emergent light part of the inertial navigation axis calibration device is emitted to inertial navigation through a light emitting / returning mirror group and then is returned to an image sensor, and a first target image is obtained; a second test light path between the tested optical system and the inertial navigation calibration device is constructed, part of emergent light of a point light source of the inertial navigation calibration device is emitted to the tested optical system through the light emitting / returning lens group, and a second target image is obtained through a sensor of the tested optical system; and comparing the first target image with the second target image to obtain the error between the optical axis of the measured optical system and the inertial navigation axis. According to the invention, the problem that real-time detection cannot be carried out in an airborne environment is solved.

The invention relates to the technical field of computer software, and discloses a method, system and device for testing software through artificial intelligence and a storage medium, and the method comprises the steps that function parameters, interface parameters and application scene data of tested software are obtained; inputting the function parameters, the interface parameters and the application scene data into a preset test case generation model to obtain a complete test case; testing the tested software according to the complete test case to obtain a test result; evaluating the test result according to a set evaluation strategy to obtain an evaluation result; and recording a test execution process according to the evaluation result, and generating a test report. The method has the following effects that the efficiency and the executive force of generating the test case are improved, and the overall efficiency of software testing is improved.

The utility model relates to a strip-shaped material conveying mechanism. The strip-shaped material conveying mechanism comprises a driving unit, a pair of synchronous belt I and a synchronous belt II, wherein the synchronous belt I and the synchronous belt II are simultaneously matched with the driving unit. The upper end of the second synchronous belt is oppositely arranged between the front ends of the two first synchronous belts, and the first synchronous belts and the second synchronous belt can synchronously execute the conveying action. The rear end of the first synchronous belt extends on the horizontal plane. The lower end of the second synchronous belt extends downwards into the material groove, and the strip-shaped materials can be taken out of the material groove and conveyed upwards through tooth grooves distributed in the belt face of the second synchronous belt. A plurality of L-shaped check blocks which are distributed at intervals in the extending direction of the belt body are fixedly arranged on the two first synchronous belts. The L-shaped check blocks on the two first synchronous belts are in one-to-one correspondence and are oppositely located on a straight line extending in the left-right direction. And short arms of the L-shaped stop blocks face upwards and extend out of the edge of one inner side of the synchronous belt. According to the utility model, the purposes that the strip-shaped materials are regularly distributed when being conveyed on the synchronous belt along the horizontal plane and the length extension direction has excellent consistency can be achieved.