33results about How to "Improve authority" patented technology

The invention discloses an intelligent security monitoring and early warning method and system for an industrial control network, relates to the technical field of network security monitoring, and can collect multi-dimensional data such as network traffic, user behaviors and equipment states in real time through a data acquisition module and a system to ensure the timeliness and comprehensiveness of monitoring. Therefore, potential security threats can be quickly identified, and the overall security protection capability is improved. And the data preprocessing module cleans and standardizes the collected data, so that the data quality and consistency are improved, a reliable basis is provided for subsequent risk assessment, and misjudgment caused by data inconsistency is reduced. And the risk assessment module calculates a comprehensive risk index through a multi-dimensional assessment formula, different types of security threats can be identified more accurately, and a scientific basis is provided for a subsequent early warning mechanism. The multi-level early warning mechanism module divides the risk into a low level, a middle level and a high level according to the comprehensive risk index, and a targeted response strategy can be realized.

The invention discloses an online knowledge base platform for ensuring knowledge content quality and contributor rights and interests and a business model of the online knowledge base platform, and relates to the field of online knowledge bases. The platform integrates block chains, data encryption and artificial intelligence technologies, and aims to improve the quality of knowledge content and protect the rights and interests of contributors. The platform mainly comprises a block chain system, a data encryption system, an artificial intelligence system, a member management system, an auditor evaluation system, a knowledge content collection system, a knowledge content auditing system, an incentive management system, a template management system, a fund management system, a suggestion supervision system, a point transaction system, an advertisement management system and the like. Through a decentralized knowledge management mechanism, a contributor auditing and evaluating mechanism, a knowledge content providing and auditing mechanism and a contributor right protection mechanism, high quality of knowledge base content and fair reward of contributors are ensured, and sharing and communication of knowledge are promoted.

The invention provides a personalized recommendation method and system for hot events, and relates to the technical field of big data analysis, and the method comprises the steps: collecting multi-source real-time data; preprocessing the multi-source real-time data to obtain multi-source real-time preprocessed data; performing weighted fusion on the multi-source real-time preprocessing data to obtain a weighted fusion score; generating a hotspot event based on the weighted fusion score; and retrieving the hot events to generate personalized recommendation contents meeting user requirements. According to the invention, real-time and intelligent generation of the hotspot event is effectively realized, personalized hotspot event recommendation is provided for the user, and the user experience is improved.

The invention discloses an electric energy metering error evaluation method and system for a direct current charging pile, equipment and a medium, and the method comprises the steps: constructing an electric energy disturbance response function based on transient voltage and transient current, and effectively quantifying the transient metering deviation caused by measurement lag, voltage drop, current peak and other factors in the actual operation of the direct current charging pile. Error reconstruction modeling has higher dynamic adaptive capacity and physical rationality, the limitation that in the prior art, the influence of the high-variable-load working condition on metering cannot be reflected is broken through, and the accuracy and timeliness of direct-current charging pile error monitoring are greatly improved. Besides, a standard error is introduced to carry out fitting calibration on a reconstruction error and carry out energy conservation verification, thereby realizing verifiability on a physical level and controllability in engineering implementation, enhancing credibility and authority of an evaluation result, constructing a closed-loop analysis mechanism from error evaluation to metering correction and then to conservation verification, and improving reliability and reliability of the evaluation result. And the closeness and the adaptive capability of the overall error evaluation are improved.

The invention provides an ideological and political education achievement authentication system based on a block chain technology, and aims to improve transparency, authenticity and traceability of education achievements. According to the system, a comprehensive, safe and efficient authentication platform is constructed by integrating user authentication and authority management, activity participation and achievement recording, multi-dimensional evaluation and authentication, intelligent contract execution and authentication recording and a cross-mechanism authentication and mutual recognition mechanism. The innovation point is that a multi-factor authentication technology is introduced to enhance the security; a multi-dimensional evaluation mechanism is adopted, and comprehensiveness and fairness of evaluation are achieved; the efficiency of the authentication process is improved through automatic execution of the smart contract; the cross-mechanism authentication and mutual recognition mechanism promotes the universality and convenience of the authentication result. The system not only optimizes the authentication process of ideological and political education achievements, but also provides possibility for international mutual recognition of the education achievements, and has important social value and practical significance.

The invention provides a flue gas moisture content measuring system, which comprises a sampling tube configured to sample from a flue gas environment; the temperature and humidity sensor has self-heating and temperature control functions; the refrigeration module is used for carrying out refrigeration treatment on the passing flue gas; the water collecting bottle is used for collecting and storing condensate water generated by the refrigeration module; the flow meter unit is used for measuring the temperature, humidity and pressure parameters of the flue gas and the accumulated volume of the flue gas flowing through the flow meter unit; the flue gas measuring unit is used for measuring and analyzing the component concentration of the flue gas; the blowback system is used for performing blowback cleaning operation on the sampling tube and the humidity sensor when the measurement is finished or high-temperature and high-humidity conditions are detected; and the data processing unit is configured to receive and process data from the humidity sensor, the flowmeter unit and the flue gas measuring unit and calculate the moisture content of the flue gas according to the processing result. According to the invention, the urgent demand on accurate measurement of flue gas humidity in the fields of industrial production and environmental monitoring can be solved.

The present invention discloses a message transmission method, system, switch, medium and product, and relates to the field of communication technology. According to the current bandwidth utilization of the network link, the remaining bandwidth utilization is determined, and then the network link priority is obtained by sorting the network link according to the current remaining bandwidth utilization. The network link priority is related to the path congestion degree. The higher the network link priority, the lower the path congestion. Based on the number of queues, the number of network links and the corresponding message priority and network link priority, the actual flow of the message is added, and the high-priority message is fully allocated to the path with lower congestion to avoid packet loss. At the same time, combined with the actual flow of the message, the allocation path is more accurate, and the reliability and security of the allocation path are improved.

The application provides a cable insulation aging evaluation method based on high-voltage frequency domain dielectric response characteristic quantity, under the condition that the insulation electric field intensity is 0.5kV / mm-1kV / mm, an ultralow frequency sweep test signal is applied to the measured cable under three different voltages, and the dielectric loss tangent value frequency domain response curve corresponding to each voltage level is obtained; at least two dielectric characteristic quantities are calculated based on the frequency domain response curve, the dielectric characteristic quantities include a first characteristic quantity representing the discrete degree of the dielectric loss tangent value under different voltages, and a second characteristic quantity representing the frequency domain integral characteristic of the dielectric loss tangent value under the highest test voltage; based on a preset correlation evaluation model taking the cable insulation mechanical performance aging index as a benchmark, the insulation health state score of the measured cable is calculated by combining the dielectric characteristic quantities, and the insulation aging state is determined according to the health state score.

The application provides a three-dimensional part PMI automatic labeling method based on a graph neural network, belongs to the technical field of aero-engines, and comprises the following steps: initialization configuration based on a UG NX environment; B-Rep topological analysis is performed on an imported three-dimensional part model, and the three-dimensional part model is converted into attribute graph structure data; feature learning and semantic classification are performed on the attribute graph structure data based on a graph neural network, high-dimensional feature fingerprints representing overall engineering semantics of the part and labeling graphs are extracted, and prototype clustering analysis is performed to form a knowledge base; structured recognition is performed on a newly input three-dimensional part model, similar prototype matching and rule calling are performed based on the knowledge base, a parameterized labeling action sequence is generated, the parameterized labeling action sequence is mapped into PMI creation commands, and the labeling of the new model and the establishment of related annotation objects are automatically completed. The scheme realizes the automation of the labeling process and the leap-forward improvement of the efficiency, and improves the labeling accuracy.

The invention discloses a risk detection method, device and equipment for financial institution issuing items and a medium. The method comprises the following steps: calling an auxiliary platform data interface to obtain auxiliary service information according to a project identifier of a commanded item in response to the commanded item received from a payment gateway of a financial institution; synchronously acquiring associated business data for risk feature calculation; according to the auxiliary service information, performing compliance and authenticity verification on the issued item; if the verification is passed, taking a payer or a payee who issues the item on behalf as an analysis subject, and combining historical similar item records and associated business data of the analysis subject to generate multi-dimensional risk features; inputting the multi-dimensional risk features into a plurality of pre-constructed risk identification models, and generating corresponding risk signals; and according to the risk signal, generating risk alarm information of the issuing item. According to the embodiment of the invention, the intelligent, real-time and precise risk identification and early warning of the issuing items can be realized.

The application discloses a lifting type safety socket for dormitory and relates to the field of sockets for dormitory.The socket comprises a mounting box, the mounting box is installed below the desktop of the dormitory, a lifting box is slidingly connected in the mounting box and can be kept in the extended state by the limiting structure after extending out of the desktop, a plug-in box is embedded in the mounting groove of the lifting box through the locking structure, an overload protector is arranged in the lifting box, the reset button of the overload protector can release the locking of the plug-in box by the locking structure after being popped out, the plug-in box can leave the mounting groove after the locking structure is released, and the lifting box can descend back into the mounting box after the plug-in box leaves the mounting groove.When the electric power exceeds the threshold value, the overload protector in the lifting box automatically cuts off the power supply, and the lifting box is collected into the mounting box after the plug-in box is popped out, so that the accurate control of the electric power of each bed in the dormitory is realized at a low cost.

This invention relates to a method for patent retrieval and technology monitoring of multi-source heterogeneous data. It constructs a multimodal semantic representation including text, images, and time-series fragments, and generates a joint temporal representation vector by combining attention perturbation entropy and term evolution distance. A unified semantic space is established based on historical technology anchors, dynamically monitoring and quantifying semantic shifts to achieve real-time determination of drift trends. When substantial semantic drift occurs, local semantic correction is performed using gated contrastive learning and an anchor-aware adaptation layer to guide the orderly alignment of newly added modal features, ensuring the continuation and expansion of the original semantic topology. Simultaneously, an anchor decay and candidate new anchor generation mechanism is designed, combining cross-validation from patent citations, industry reports, and policy documents to achieve incremental expansion of the semantically stable anchor set. This scheme effectively improves the fusion accuracy, real-time adaptability, and dynamic topology update capability of multimodal patent data.

The application provides a kind of thermal protection interlock logic knowledge base construction method and system, comprising: based on graph database construction knowledge graph;Combining the initial knowledge item generated by preset hazard dimension, and retrieve the citation basis related to initial knowledge item from multi-source thermal data, the citation basis is associated with initial knowledge item, form the knowledge item after association;The associated knowledge item is verified in multiple rounds, and the verification includes calling the existing knowledge in the knowledge graph for logical self-checking, cross verification with historical knowledge items and backstepping verification based on accident cases, and output the knowledge item that passes the verification;Continuously monitor the thermal data source, generate knowledge update proposal based on the knowledge item that passes the verification, and update the knowledge graph and knowledge item after compatibility verification and artificial review of the update proposal.The application reduces the risk of knowledge deviation caused by human error through automated process and multiple verification mechanisms.

The invention discloses a medical statistics large model agent, a construction method and equipment thereof and a storage medium. The method comprises the following steps: constructing a structured medical statistics knowledge base by performing semantic analysis and knowledge extraction on medical statistics related guidelines, regulatory literatures and academic papers; contextual information of a medical statistics target task is obtained, and the contextual information is provided for a large language model after being subjected to structured semantic conversion through a unified cognitive interface; generating and executing a structured task instruction based on the medical statistics knowledge base and the context information through a large language model; and verifying and optimizing an output result of executing the structured task instruction through a closed-loop reflection iteration mechanism, and improving a statistical analysis process in the large language model based on an optimization result, so as to obtain a medical statistical large model agent. According to the invention, statistics of medical data is realized through the medical statistics large model agent, and the efficiency and quality of medical statistics are improved.

This invention discloses a testing device for sensitive components of a linear temperature-sensitive fire detector, belonging to the field of fire detector testing technology. It includes a housing, a heating system, a temperature control system, and a heat dissipation system. The heating system employs a surface-mount heat conduction heating cavity and a matching heating device. The temperature control system is based on a PLC industrial control integrated computer. This invention designs standardized testing methods for both constant-temperature and differential-temperature alarm-type sensitive components. During the heating process, online thermal characteristic identification and predictive temperature control algorithms achieve precise regulation of the temperature rise rate. During the constant-temperature process, a Smith predictor combined with an adaptive PI algorithm achieves stable temperature control. Multiple safety protection functions are also included. This invention solves the problems of low temperature control accuracy, non-standardized testing procedures, inability to realistically simulate the temperature rise process, low testing efficiency, and potential safety hazards in existing testing methods. The testing process closely matches the actual working environment of the component, and the results meet standard testing requirements.

The invention relates to the technical field of energy efficiency and carbon efficiency evaluation, in particular to an enterprise energy efficiency and carbon efficiency dynamic benchmarking platform and method, and the platform comprises a data collection module, an environmental value collaborative authentication module, an industry chain green value tracking module and a dynamic benchmarking calculation module. And constructing an environmental value credibility evaluation model to check carbon emission reduction, defining an industrial chain node green power consumption boundary and metering a full-link green value, and realizing enterprise intelligent grading in combination with a dynamic weight mechanism and a comprehensive evaluation algorithm. The problems of benchmarking staticization, single dimension, incomplete value accounting and the like in the prior art are solved, and the accuracy and collaboration of energy efficiency and carbon efficiency evaluation are improved.

The high-precision map-guided autonomous driving path planning decision method of this application is based on the large amount of rich and accurate road static information provided by the high-precision map, based on the navigation application mode, combined with the path planning decision method based on the perception system and the simple element map, and proposes a path planning decision system framework, modules and methods suitable for smart cars, and focuses on three aspects of improvement: first, the lane trajectory level path planning method guided by the high-precision map, second, the driving behavior decision method guided by the high-precision map, and third, the local path planning and selection method guided by the high-precision map. The three different indicators of decision cost, road cost and comfort cost that affect the selection of driving curves are integrated through cost calculation, and the trajectory line is selected by weighted summation instead of the minimum cost. Through the above three improvements, the reliability, safety, intelligence and economy of autonomous driving have been greatly improved.

The invention discloses an intelligent question and answer result comparison and traceability method and system for power marketing, and relates to the technical field of intelligent question and answer, and the method comprises the steps: S1, generating a plurality of intelligent responses according to the consultation content; s2, identifying key information associated with the power marketing business according to the intelligent response and performing information comparison; s3, querying a power marketing background business system in real time and performing conflict judgment according to the key information after comparison is completed, and obtaining target business data directly associated with the key information; s4, in the generated response, embedding a traceability link pointing to the target business data based on a traceability mechanism, and performing data traceability according to the traceability link; according to the method, specific business data and calculation logic can be traced, the credibility and transparency of the question and answer result are enhanced, and the reliability of the answer result is improved.

The invention discloses a safe starting method and related equipment, and the safe starting method comprises the steps: responding to a detected preset safe starting condition, employing a national root certificate preset in a processor to carry out the trusted measurement of an intermediate root certificate, and enabling the intermediate root certificate to be stored in an external storage space of the processor; when the trusted measurement of the intermediate root certificate is passed, the intermediate root certificate is adopted to carry out trusted measurement on an intermediate application certificate, and the intermediate application certificate is stored in an external storage space of the processor; when the trusted measurement of the intermediate application certificate is passed, the intermediate application certificate is adopted to carry out trusted measurement on the user certificate, and the user certificate is stored in an external storage space of the processor; when the trusted measurement of the user certificate is passed, adopting the user certificate to carry out trusted measurement on the basic input / output system; and when the trusted measurement of the basic input and output system passes, running the basic input and output system. According to the technical scheme of the invention, the reliability, credibility and authority of trust chain verification can be improved.

This invention provides a multi-agent traceable decision-making system and method for environmental data mining, belonging to the interdisciplinary field of artificial intelligence and environmental informatics. The system includes: a task complexity assessment module, a multi-agent conditional collaboration module, an arbitrator triggering and adjudication module, an environmental knowledge graph module, a feedback learning optimization module, and a decision tracing and visualization module. The method includes the following steps: Step 1: Task complexity assessment and collaboration mode allocation; Step 2: Parallel processing and dynamic collaboration of two intelligent analysts; Step 3: Consistency check and arbitration triggering; Step 4: Arbitrator adjudication and weight integration; Step 5: Human expert correction and weight optimization feedback; Step 6: Decision tracing and weight visualization. This invention enables more accurate decision optimization, significantly improves the professionalism and accuracy of decision-making, and possesses the ability to proactively identify and prevent potential problems.

The application discloses a spoken language evaluation system and method based on multiple dimensions, and relates to the technical field of data processing.The system comprises the following steps: obtaining audio text, a phoneme list and a phoneme time boundary list corresponding to speech data according to a pre-trained text phoneme recognition model; calculating a fluency score according to the phoneme list and the phoneme time boundary list; obtaining a semantic score of the audio text through a pre-trained semantic model; obtaining a syntax score of the audio text through a pre-trained syntax model; matching the audio text and an answer text according to a text matching method based on an edit distance to obtain a text matching score; obtaining a pronunciation score of the audio data finally through phoneme confidence of the phoneme list; dynamically adjusting the weight of each dimension score according to the length of the audio text, and calculating a final spoken language evaluation score; and the application comprehensively evaluates the spoken language ability through multi-dimensional evaluation and dynamic weight adjustment according to the scene, and realizes the comprehensiveness, fairness, accuracy and high efficiency of the spoken language evaluation.

The invention discloses a key storage mechanism switching method, a cluster system, a device, a medium and a product, and relates to the technical field of data security management. And when the current secret key storage mechanism meets the switching condition of the secret key storage mechanism, the first main secret key corresponding to the current secret key storage mechanism is utilized to carry out deblocking processing on the first secret key, and a plaintext form of the deblocked first secret key is obtained. The data does not need to be encrypted, and online switching of the key storage mechanism is realized through the de-encapsulation and encapsulation of the main key and the first key under the respective key storage mechanism. Through the de-encapsulation and encapsulation between the keys (the main key and the first key of the respective key storage mechanism), the repeated operation of decryption and encryption on the data is not needed, and the switching efficiency is saved. The data of the current encryption service is not influenced, and the storage availability and the flexibility of online switching of different key storage mechanisms are improved.

With the construction of a national novel power system and continuous deepening reformation of the power market, the operating pressure of thermal power enterprises is larger and larger, so that the fuel purchasing management level is improved, and the fuel purchasing cost control requirement is higher and higher; a more scientific and effective method for analyzing, researching and visually and vividly expressing key elements such as fuel purchase'quantity, quality and price ', 'supply, consumption and storage' and the like is urgently needed to be explored and established, practice is scientifically guided, enterprises are helped to reduce cost and increase benefits, and high-quality development of new kinetic energy is continuously gathered. On the basis, a'quantity, quality and price 'comparative analysis and'supply, consumption and storage' total balance histogram expression method 'for monthly fuel purchase of a thermal power enterprise is created by applying a digital thinking concept through long-term tracking research and repeated thinking and exploration on the basis of a logic association relationship among internal elements of the fuel cost of the enterprise and an internal operation mechanism. According to the method, all fuel purchase key elements are pioneered to be integrated into one graph, the method has high practical application value, and particularly, an authority, comprehensiveness and instantaneity fuel purchase comprehensive index visual expression and intelligent monitoring alarm'one graph 'expression method is provided for managers at all levels of thermal power enterprises.

The invention discloses an ancient bridge deflection non-contact measurement method based on binocular vision. In order to solve the problem that the ancient bridge is made of a special material and cannot adopt a contact sensor due to the limitation of cultural relic protection, a high-contrast artificial vision mark point is arranged at a to-be-detected point, and laser irradiation is assisted to enhance image features; a binocular camera system is accurately calibrated through a Zhang Zhengyou calibration method, and the geometric accuracy is improved by combining distortion removal and epipolar correction; realizing three-dimensional reconstruction of the mark points by using a block matching algorithm, and extracting vertical displacement as an initial deflection value; and a dial indicator is synchronously introduced for calibration. Experiments show that after error calibration, the average relative error of the final deflection measurement result relative to the reference value of the dial indicator is stably controlled within 7%, the engineering precision requirements of safety preliminary evaluation and health monitoring of the ancient bridge structure are met, real non-destructive, low-cost and high-reliability ancient bridge deflection measurement is achieved, and the method is suitable for popularization and application. And a feasible technical path is provided for cultural relic bridge health monitoring.

The utility model relates to calibration metering equipment for an experiment impact device, which comprises a main frame, the top of the main frame is provided with a top cross beam, and the bottom of the rear end of the top cross beam is connected with a vertical beam and an inclined beam; the bottom of the vertical beam and the bottom of the oblique beam are jointly connected with a base. The bottom of the top cross beam is provided with a drop hammer retracting and releasing tool, a suspension wire guiding tool and a standard height gear tool, and the standard height gear tool is provided with a plurality of wire positions for measuring height marks; a metering drop hammer is suspended below the suspension wire guiding tool, and the top of the metering drop hammer is connected with a drop hammer retracting and releasing tool through a suspension wire of the suspension wire guiding tool. During implementation, the standard height gear tool is used as a standard position caliper structure of a corresponding metering drop hammer. The bottom of the metering drop hammer is flush with a certain line position on the standard height gear tool, and the current standard height of the metering drop hammer can be observed and recorded through the line position.

The invention provides a wine cross-flow filtration flow rate control method and system, a fixed terminal turbidity target value is determined according to product standards and downstream process requirements, an initial circulation flow rate reference value and an initial operation pressure are determined according to initial characteristic parameters and preset membrane module process parameters, and then cross-flow filtration is started. The real-time turbidity, the transmembrane pressure difference and the permeate flux of the filtrate are monitored synchronously, the membrane pollution development index is determined based on the rising rate of the transmembrane pressure difference and the falling rate of the permeate flux, and then the circulation flow rate is adjusted according to the comparison result of the membrane pollution development index and the preset membrane pollution threshold value. And when the real-time turbidity is continuously lower than the terminal turbidity target value and the transmembrane pressure difference and the permeate flux are in a reasonable working condition range, judging that the wine filtration is completed. By adopting the scheme of the invention, intelligent flow velocity control can be performed on wine cross-flow filtration based on the predicted pollution trend at the initial stage of filtration.

The present invention relates to an engineering design knowledge auxiliary management system, including a system management module, a knowledge management module, a knowledge search module and a personal center management module. The system management module has an organization management submodule, a position management submodule, a menu management submodule, a role management submodule, a label system management submodule, a log management submodule, a shielded keyword management submodule, a crawler configuration submodule and a knowledge feedback processing submodule. The knowledge search module has a historical project engineering data module for storing historical engineering project files managed by at least one unit in an enterprise. By setting the historical project engineering data module, it is convenient for system users to query previous historical engineering project files, improve the reuse rate and work efficiency of historical engineering project files, and the setting of the system management module can realize the sharing of historical engineering project files between different units in an enterprise.

Embodiments of the present application disclose a training sample generation method and a corresponding device. The method comprises: obtaining original question and answer data, the original question and answer data comprising query text, document data and first reply data, the document data comprising at least one reference document retrieved based on the query text and used to generate the first reply data, and the first reply data comprising conclusion data; calling a second large language model to analyze a corresponding relationship between the conclusion data in the first reply data and a target reference document in the reference document; calling a third large language model to obtain metadata of the target reference document, the metadata being used to indicate authoritative information of the target reference document; calling a fourth large language model to generate second reply data based on the first reply data, the corresponding relationship and the authoritative information of the target reference document; and generating a training sample based on the query text and the second reply data to train a question and answer model. The scheme can effectively improve the efficiency and quality of generating training samples.

The present application relates to the technical field of historical building digital evaluation, in particular to a historical building value intelligent evaluation method based on multi-source data fusion, comprising: preprocessing the multi-modal information of the historical building and generating a fusion feature vector, separating the spatial and time characteristic components, and respectively analyzing the spatial value contribution vector and the time value contribution vector through a value decoupling network. The two vectors are subjected to antagonistic interactive fusion and iterative optimization to obtain a stable value representation vector. The vector and the value anchor point set are subjected to graph structure similarity measurement, and a quantitative correlation matrix is output. The evaluation path is extracted to perform reverse tracing on the knowledge graph to correct the representation vector and generate a final value embedding vector. Finally, the evaluation value is calculated according to the projection coordinates of the vector in the value evaluation benchmark space. The method realizes fine-grained analysis and traceable dynamic optimization evaluation of the value of historical buildings.

The embodiment of the invention discloses a knowledge retrieval method and device based on large model middleware and a medium, relates to the technical field of large model processing, and is used for solving the problem that existing knowledge retrieval questions and answers are poor in flexibility and optimizability. The method comprises the following steps: adjusting a processing strategy node of preset large model middleware based on a document structure of an original document, and analyzing the original document according to the adjusted processing strategy node to obtain a knowledge fragment corresponding to the original document; performing vectorization processing on the current user question so as to determine a knowledge fragment associated with the current user question according to the similarity between the processed current user question and the knowledge fragment; analyzing the associated knowledge fragments and the current user question based on a preset large model middleware so as to output an answer result corresponding to the current user question; wherein each answer statement in the answer result is marked with a knowledge fragment referenced by the answer statement.