7479 results about "Information acquisition" patented technology

The invention discloses a multi-source information fusion equipment health diagnosis management system, and relates to the technical field of equipment management. Comprising an information acquisition module, a feature perception module, a processing fusion module, an equipment modeling module, an evolution prediction module, a root cause diagnosis module, a cross-domain inspection module, a learning sharing module, a state evaluation module, a collaborative decision-making module, a chain account book module and a visual decision-making module. According to the method, the perspectiveness and the sensitivity of anomaly detection are remarkably improved, noise interference and sampling deviation are reduced, fused data are more stable and have higher physical consistency, differential diagnosis and individual-level prediction are supported, the interpretability of diagnosis and the decision reliability are improved, false alarm and missing alarm are avoided, the early warning reliability is improved, and the method is suitable for popularization and application. And scientific, transparent and traceable health management is realized.

The invention relates to a big data-based passenger-roll transport demand prediction and ship intelligent scheduling method and system. The method comprises the steps of obtaining multi-source shipping data for a target area; inputting the multi-source shipping data into the spatial-temporal feature mining model, and predicting passenger rolling transportation demand information of the target area; acquiring ship real-time position, passenger carrying capacity, energy consumption data and port real-time operation state in the target area, and dynamically generating an optimal scheduling scheme by adopting a shipping scheduling model in combination with the predicted passenger transport demand information; the shipping scheduling model is obtained by interacting a decision scheduling model with an intelligent agent corresponding to the passenger roller transportation system and performing iterative training by adopting a reinforcement learning algorithm; and converting the optimal scheduling scheme into visual information, pushing the visual information to operation terminals of the ship and port workers so as to start corresponding shipping scheduling operation, and monitoring the execution effect of the shipping scheduling operation in real time.

The invention relates to a construction method and device of a network security knowledge graph, equipment and a storage medium, and the method comprises the steps: obtaining multi-source data of a network security application scene, and carrying out distributed processing to obtain a security data set; performing structured storage management and security knowledge extraction on the security data set to obtain an initial knowledge graph; performing zero-day attack prediction construction based on the initial knowledge graph to obtain potential attack data; performing path fusion association on the potential attack data and the initial knowledge graph to obtain attack chain fusion information; and obtaining real-time event data of the network security application scene, and carrying out dynamic iteration updating on the initial knowledge graph by using the real-time event data and the attack chain fusion information to obtain the network security knowledge graph. According to the invention, the timeliness and practicability of the network security knowledge graph can be ensured.

The invention discloses an unmanned aerial vehicle intrusion real-time alarm and countering guidance system based on RID information. The system comprises a multi-source information acquisition and fusion module, an intrusion detection and threat evaluation module, a real-time alarm and countering strategy generation module, a feedback evaluation and strategy iteration module, a signal loss prediction and compensation module, a comprehensive processing terminal module and the like. The system establishes a three-dimensional geofence model by analyzing remote identification information of the unmanned aerial vehicle and fusing radar, photoelectric, electromagnetic and other multi-source data, and performs dynamic judgment and multi-factor threat grading on a target intrusion state. Multi-mode alarm is automatically triggered according to the threat level, and a hierarchical countering scheme from broadcast alarm and electromagnetic interference to physical capture is generated; and when the RID signal is lost, the system realizes continuous tracking and state recovery of the target by using a motion prediction and probability association algorithm.

The invention relates to the technical field of magnetic ring detection, discloses a magnetic ring multi-dimensional nondestructive detection system and method based on multi-frequency composite electromagnetic excitation, and solves the defects of existing magnetic ring detection in the aspects of information acquisition, composite excitation and comprehensive diagnosis. The method comprises the following steps: applying multi-frequency composite excitation, and collecting and preprocessing multi-dimensional response; and extracting features, and carrying out deep learning fusion inversion to obtain magnetic characteristics, material components and defect information. The system comprises a composite excitation module, a multi-mode sensing module, a data acquisition preprocessing module, a data fusion inversion module and a control module. By adopting the technical scheme, comprehensive and efficient nondestructive detection of multi-dimensional electromagnetic information of the magnetic ring is realized, the existing limitation is overcome, and the detection precision and the comprehensive diagnosis capability are remarkably improved.

The invention discloses an electric power measurement data management system based on cloud edge collaboration and an electric quantity distributed acquisition method, and relates to the technical field of electric power information acquisition and processing. The system comprises an intelligent electric meter terminal layer, an edge computing node layer, a regional collaborative gateway layer and a cloud data center. The intelligent terminal can dynamically adjust the sampling frequency according to the load change rate and the historical volatility, and identifies abnormity through an LSTM-ATT model; the edge nodes realize prediction caching based on Kalman filtering and RMSE judgment; the regional gateway executes dynamic time warping and consistency arbitration of topological weighting; and the cloud end completes digital twinborn modeling and exception evidence storage. According to the method, the real-time performance and accuracy of electric power data acquisition are improved, the communication bandwidth occupation is reduced, the system abnormity sensing capability and the operation stability are enhanced, and the method is suitable for an intelligent power distribution network and a distributed energy metering scene.

Provided are a method and apparatus for monitoring CSI prediction performance, a terminal, and a network-side device, which pertain to the field of communication technologies. The method for monitoring CSI prediction performance in embodiments of this application includes: acquiring, by a terminal based on monitoring configuration information, first channel information corresponding to CSI prediction channel information; where the first channel information is used for determining the CSI prediction performance of an AI model; and the monitoring configuration information includes at least one of the following: information about at least one AI model identifier, the AI model identifier being used to indicate the AI model; monitoring window-related information, used to indicate a monitoring window for monitoring AI-based CSI prediction performance; monitoring trigger-related information, used to indicate a condition for triggering AI-based CSI prediction performance monitoring; and monitoring CSI-RS configuration information, used for measuring CSI-RS configuration information of the first channel information.

The invention discloses an intelligent mold part machining cutting tool control method and system. The method comprises the following steps that S1, a multi-source sensing information collection layer is established; s2, constructing a cutter health knowledge graph; s3, generating a dynamic decision control instruction; s4, executing a bimodal control response; and S5, realizing closed-loop control optimization. Through quadruple mechanism coupling of global coverage of a multi-mode sensing layer, dynamic deduction of a knowledge graph decision-making layer, risk isolation of a double-track execution layer and intelligent evolution of a closed-loop optimization layer, the method is realized in an industrial control domain for the first time: raising a sensing dimension, and converting a physical world fragmentation signal into a cutter full life cycle digital twinborn body; reconstructing decision logic, replacing traditional threshold judgment with topological correlation, and foreseeably inhibiting ill-conditioned failure; the system is ecological and self-consistent, and the control strategy continuously evolves in operation to form the anti-interference capability; and finally, normal form transition of tool wear control from passive remediation to active immunity is achieved.

The invention discloses a 3D printing defect detection method based on improved YOLOv10n, and the method specifically comprises the steps: constructing a data set, and dividing the data set into a training set and a test set; processing the training set data; the method comprises the following steps of: constructing a DM-YOLO network model by taking YOLOv10n as a basic algorithm; the DM-YOLO network model comprises a trunk feature extraction network, a neck feature fusion network and a detection head network; training the network model by using the training set data; and inputting test set data into the trained DM-YOLO detection model, outputting category information of defect positions in the FDM printed piece, and obtaining a defect detection result. The network is deeply optimized on the basis of YOLOv10n, DSMCAttn, a DySample dynamic up-sampler and a lightweight single-head self-attention mechanism are integrated, and the detection precision and reasoning efficiency of small target defects are remarkably improved.

The invention belongs to the technical field of unmanned aerial vehicle path planning, and particularly discloses an unmanned aerial vehicle path planning method based on a multi-strategy fusion information acquisition optimization algorithm, and the method comprises the steps: obtaining the digital elevation model map data of a target region, and constructing a three-dimensional environment space model based on a task environment; constructing a path cost function and initializing an optimization algorithm population, wherein the initialization adopts three strategy fusion mechanisms of hypercube initialization, chaos initialization and random initialization to enhance the diversity of the population; a crisscross strategy is introduced, the adaptability and stability of the algorithm in the dynamic search process are enhanced, and a sine disturbance mechanism is adopted, so that the global optimization capacity and local development precision of the algorithm are enhanced; the flight path of the unmanned aerial vehicle is constructed by optimizing the path point sequence, and the path is smoothed by introducing B spline interpolation, so that the path is ensured to have continuity and feasibility, the flight requirement of the unmanned aerial vehicle is met, and the robustness and environmental adaptability of path generation are remarkably improved.

The invention discloses a WebSocket-based instant message task assigning system. The system comprises two parts, i.e., a server and clients, wherein the server is deployed on an application server and configured with ports for providing external services, and the server is then started; the clients comprises an APP client and a PC client; and information data transmission among the server, the APP client and the PC client is achieved based on the WebSocket protocol, that is, the server provides the instant messaging service, and the clients achieve acquisition of data from the server. Compared with the prior art, the system provided by the invention has the advantages that WebSocket-based instant message task assigning is achieved, and information can be synchronized between the information acquisition clients, so that high timeliness, effectiveness and safety of the information are ensured.

The invention discloses a knowledge graph question-answer interaction method and system based on artificial intelligence, and the method comprises the steps: receiving a natural language question input by a user, carrying out the hierarchical analysis of entity words and intention words in the question through a dynamic weight distribution mechanism, and generating an enhanced semantic vector containing entity association strength and intention probability distribution; traversing the knowledge graph based on the enhanced semantic vector, and constructing a hierarchical query sub-graph comprising a core entity, an associated entity and an implicit relationship; performing reasoning calculation on the hierarchical query subgraph by adopting a multi-path collaborative reasoning algorithm to generate a candidate answer set; and performing semantic consistency verification and redundancy elimination on the candidate answer set, generating an adaptive answer and an association explanation path in combination with historical interaction preference of the user, and synchronously feeding back a newly discovered entity association relationship to the knowledge graph for incremental updating to form a question and answer interaction closed loop. By utilizing the embodiment of the invention, the accuracy and interpretability of questions and answers can be improved, and the user interaction experience and the information acquisition efficiency are improved.

The invention discloses a method for dynamically monitoring and automatically processing abnormity of an entrance and an exit of a parking lot, relates to the technical field of intelligent parking lot management, and aims to solve the problems that existing unattended parking lot entrance and exit management depends on manpower, abnormity processing is passive, and the misjudgment rate is high. The method is based on an information acquisition and execution layer-edge processing layer-cloud platform three-layer architecture, the core realizes high-precision scene understanding through a multi-algorithm fused visual perception module, multi-modal data weighted fusion is combined with a ground induction coil, a radar and the like, and the misjudgment rate is reduced; a sensing result is converted into an automatic processing action through a configurable intelligent rule engine; and meanwhile, the cloud platform stores passing data and an evidence chain, optimizes an AI model through incremental training and returns the AI model to an edge layer, so that closed-loop evolution is realized.

The invention belongs to the field of intelligent vehicle-mounted technology, and particularly relates to a multifunctional vehicle-mounted sensing detection system based on multi-source information fusion, which comprises multi-source information acquisition, high-precision space-time synchronization and heterogeneous data preprocessing. A heterogeneous sensing system with feature level deep fusion, vehicle state dynamic performance evaluation and adaptive decision and risk evaluation capabilities is constructed, and a driving decision is dynamically adjusted through fusion perception and vehicle performance. The vehicle state and dynamic performance evaluation module is constructed by deeply integrating vehicle internal state data acquired by a vehicle-mounted diagnosis system into a perception fusion and decision planning process, and the core contradiction of disjunction of a perception result and a vehicle dynamic performance strategy is effectively solved. The system can evaluate key performance parameters such as power, braking, steering and the like of the vehicle and potential faults of the key performance parameters in real time, and the driving strategy and the safety margin are dynamically adjusted in the self-adaptive decision and risk evaluation module according to the actual physical limitation of the vehicle.

The embodiment of the invention discloses a report generation method and device, computer equipment and a readable storage medium, and the method comprises the steps: displaying a graphical user interface to prompt a report requester to input report demand information; report demand information is obtained, semantic analysis is carried out on the report demand information through a large language model LLM to obtain report generation indication information, and the report generation indication information at least comprises a data range, a data type, a data statistical parameter and a report display type; searching a database through the LLM to obtain a plurality of business data matched with the data range and the data type, and obtaining business indexes of the plurality of business data based on the data statistical parameters through the LLM; and determining report basic parameters based on the report display type through the LLM, and outputting a target report based on the report basic parameters, the multiple pieces of business data and the business indexes. By adopting the method, the technical threshold of data analysis processing can be reduced, the report generation efficiency is improved, and the method is simple, efficient and high in applicability.

The invention relates to the technical field of fire safety management, and discloses a fire safety management supervision platform system. The system comprises a building information acquisition module for acquiring building structure data and environment monitoring data of a target building in real time; the risk area division module is used for dividing a plurality of independent fire risk areas according to the building structure data and distributing area identifiers; the historical data indexing module is used for indexing a historical fire accident data set and a fire-fighting facility maintenance record set of each region according to the region identifier; the dynamic risk analysis module fuses the environment monitoring data and the historical fire accident data set to generate a real-time fire risk coefficient sequence; the fire-fighting resource scheduling module is used for generating a fire-fighting resource allocation scheme based on the real-time fire risk coefficient sequence and the facility maintenance record set; and the emergency response decision module generates a multi-stage fire emergency response strategy according to the resource allocation scheme. The system improves the timeliness and pertinence of fire safety management.

The invention provides a micro-nano processing platform user machine-hour management method and device, a storage medium and equipment. The method comprises the following steps: acquiring an equipment reservation request sent by a user; calling a user initial machine hour from the equipment machine hour management system according to the user identity information; if the initial machine time of the user does not meet the equipment machine time sum of the equipment reservation request, sending a prompt message that the machine time is insufficient to the user; real-time equipment operation parameters and user real-time operation records of a user in the equipment operation process are obtained, and a user machine time adjustment strategy is obtained according to the real-time equipment operation parameters, the user real-time operation records and the equipment reservation request; and adjusting the initial machine time of the user according to the machine time adjustment strategy to obtain a final user machine time, and sending the final user machine time to the user. Through the user machine-hour management method, transparent machine-hour management of the micro-nano machining platform is realized, and meanwhile, the opinions of standard operation of the user and the use efficiency of the micro-nano machining platform equipment are improved by utilizing the equipment machine-hour adjustment strategy.

The invention discloses a wine jar interior three-dimensional measurement device and a wine jar interior three-dimensional modeling method, and relates to the technical field of three-dimensional modeling, the wine jar interior three-dimensional measurement device comprises a fixed cover, a movement mechanism and a three-dimensional information acquisition mechanism, the fixed cover is used for being fixed at a wine jar opening; the movement mechanism is movably connected to the fixed cover; the three-dimensional information acquisition mechanism comprises a conical laser, a first connecting column and a first camera which are connected in sequence, the first camera is connected to the movement mechanism, and the conical laser is located at the position away from the movement mechanism; the movement mechanism is used for driving the conical laser and the first camera to move along the axial direction of the wine jar; the conical laser is used for emitting conical laser to the inner wall of the wine jar, and the first camera is used for collecting a laser image of the laser projected on the inner wall of the wine jar; according to the technical scheme provided by the invention, the modeling efficiency can be improved while the modeling cost is reduced.

The invention provides a water area monitoring system for cooperative operation of an unmanned aerial vehicle and an unmanned ship based on a Mesh ad hoc network. The water area monitoring system comprises the unmanned aerial vehicle, the unmanned ship, a Mesh ad hoc network module, a cooperative control system and a shore end control system, according to the unmanned plane, wide-area patrol and image acquisition, airspace and wide-area water area information is acquired through a sensor, fixed-point acquisition and water area information acquisition are realized through an unmanned ship, and data interaction is realized by relying on nodes of a Mesh ad hoc network. Through the multi-hop relay and dynamic routing technology of the Mesh ad hoc network, autonomous and reliable communication in a scene without a fixed base station is realized, and the communication coverage range and survivability are improved; on the basis of distributed task allocation and real-time data interaction, the equipment cooperation efficiency is remarkably improved, the response delay is shortened, and efficient completion of tasks in a complex environment is guaranteed.

The invention relates to the technical field of intelligent power monitoring, in particular to an electric energy meter data acquisition method and system based on edge computing, and the method comprises the following steps: obtaining a data reading signal and task time of an electric energy meter, collecting a continuous state sequence according to a reference data set, analyzing the variation amplitude, verifying that the task completion is consistent with the time range check amplitude, and judging whether the task completion is consistent with the time range check amplitude. And updating an execution parameter based on the state record adjustment reference value, filling a control configuration activation rhythm signal write-in interface, and obtaining an electric energy meter data acquisition automation control information set. According to the method, real-time verification and self-correction of the acquisition process are realized through benchmark and revision processing of the task triggering process and state fluctuation analysis, so that the execution time and the state change are coordinated and consistent, the acquisition timeliness and stability are effectively improved, and the continuous monitoring capability of the running state is enhanced; adaptive updating of acquisition and control signals is realized, continuous and accurate information acquisition is ensured, and operation efficiency and response flexibility are improved.

The invention relates to the technical field of artificial intelligence and Internet of Things equipment, and discloses an AI (artificial intelligence) agent personality switching method based on NFC (near field communication) identification, which realizes dynamic switching of AI agent personality in a physical mode, and comprises the following steps: S1, an equipment end obtains and decrypts an NFC label signal of an agent; s2, the equipment end obtains an AI virtual role ID corresponding to the intelligent agent according to the decryption information, and sends a request parameter to a cloud server; s3, the cloud server obtains personality configuration of the intelligent agent from a role database of the cloud server according to the request parameters and returns the personality configuration to the equipment end, wherein the personality configuration comprises an image, voice tone, speed, tone, role background, story index information and a knowledge template; and S4, the device side updates and switches the personality state corresponding to the intelligent agent according to the personality configuration, and performs voice interaction with the user according to the current personality state parameter. The invention further discloses an AI agent personality switching device for implementing the AI agent personality switching method.

The invention provides an addressing method for a strategy control network element, an application side network element and a control plane network element, and the method comprises the steps: obtaining a device address of a strategy binding network element retrieval database network element based on the local static data configuration information of the application side network element; retrieving a device address of a database network element according to the policy binding network element, and sending the control plane network element query message to a corresponding target policy binding network element retrieval database network element, so as to query an address of a target control plane network element in the target policy binding network element retrieval database network element according to the control plane network element query information; according to the address of the target control plane network element, sending the policy control network element address query request to the target control plane network element; and receiving a query result corresponding to the policy control network element address query request sent by the target control plane network element. According to the invention, the problem that the application side network element cannot acquire the IP address of the policy control network element according to the user IP address information is avoided.

The invention relates to the technical field of three-dimensional digital modeling, in particular to an automatic real-time three-dimensional digital modeling method and system for a dike. The method comprises the following steps: collecting first image data of a dike area, and setting a three-dimensional coordinate system of the dike area; evaluating a plane median error and an elevation median error of the first image data, and obtaining field acquisition precision based on the plane median error and the elevation median error; adjusting shooting parameters of the unmanned aerial vehicle according to the field acquisition precision, and acting the adjusted shooting parameters of the unmanned aerial vehicle on the unmanned aerial vehicle; acquiring second image data of the dike area through the adjusted unmanned aerial vehicle; executing spatial triangulation calculation on the second image data, and generating aerial triangulation calculation result data; and performing three-dimensional model reconstruction based on the aerial triangulation result data to obtain a dike three-dimensional digital model. According to the method, the frequency and the precision of obtaining the geometric information of the dike can be improved, and high-resolution and dynamically-updated three-dimensional modeling is realized.

The invention discloses a multi-source fusion real-time traffic perception and emergency early warning system and method based on vehicle and road cloud cooperation, and relates to the technical field of traffic management. The vehicle end system comprises an information acquisition and transmission module, a local decision module, a data receiving module, an emergency response module and a data feedback module, and the information acquisition and transmission module acquires vehicle peripheral information through a vehicle-mounted radar and a vehicle-mounted camera. According to the invention, a vehicle end collects local information such as obstacles around a vehicle and dynamic states of adjacent vehicles through a vehicle-mounted radar and a camera, a road end collects regional information such as road section traffic flow density, road damage and traffic facility states through a roadside camera and a sensor, and a cloud end integrates data at the two ends and carries out time-space synchronization through a multi-source fusion technology. The defect of a single vehicle end or road end sensing blind area is overcome, and complete sensing of the traffic state of the whole road network is achieved.

The invention discloses a multi-source information real-time identification and positioning method for a coal mine rock burst risk area. The method comprises the following steps: integrating a micro-seismic system, a rock noise system, a stress system and a geological system to construct an acquisition network; extracting multi-source characteristic indexes and carrying out space-time unification; establishing a dynamic weighted risk fusion model to calculate a comprehensive risk index RI of a three-dimensional grid unit, wherein the weight of the comprehensive risk index RI is dynamically and adaptively adjusted along with mining; based on the RI value, a high-risk area is identified and positioned through three-dimensional visualization, and graded early warning information is generated; according to the invention, a time-space synchronous multi-source information acquisition network is constructed, and uniform preprocessing and feature extraction are carried out on four types of data of microseism, rock noise, stress and geologic structure, so that deep fusion and collaborative analysis of multi-source information are realized, and an information island phenomenon existing in traditional monitoring is overcome; and the judgment on the rock burst risk is more comprehensive.

The invention provides a knowledge pushing method and system based on a user portrait, and the method comprises the steps: receiving and analyzing a knowledge training request of a target user, and obtaining demand information; obtaining a user portrait, wherein the user portrait is constructed and updated based on the historical learning data of the target user; based on the user portrait and the demand information, matching knowledge points in a knowledge base to obtain a first knowledge point set and a second knowledge point set; the first knowledge point set comprises one or more target knowledge points matched with the demand information, and the second knowledge point set comprises associated knowledge points associated with the target knowledge points; and based on the user portrait, the demand information and the attribute information, performing combination and text extension on the target knowledge points and the associated knowledge points to generate a personalized knowledge set. According to the method, the personalized knowledge set adaptive to the user can be dynamically generated based on the actual demand of the user and the user portrait, and the user experience can be improved.

The invention relates to the technical field of intelligent scheduling of sanitation vehicles, and discloses an intelligent scheduling system for an electric sanitation vehicle, and the system comprises an information collection module which is used for obtaining the operation state information of the electric sanitation vehicle; the state modeling module is used for constructing a multi-dimensional data model for describing a vehicle scheduling state based on the operation state information; the task relation modeling module is used for constructing an association structure between the vehicle and the task; the scheduling optimization module is used for executing scheduling strategy optimization operation and generating a vehicle task allocation result; the instruction control module issues the scheduling instruction to a target vehicle to drive the target vehicle to execute a task; and the scheduling monitoring module is used for receiving manual intervention operation, and the intervention operation is fed back to the state modeling module and the task relation modeling module. According to the method, a tensor expression structure based on the vehicle, electric quantity, task and time four-dimensional state is constructed, and a sparse tensor compression mechanism is introduced, so that the storage and calculation cost can be remarkably reduced while the task performability is reserved.

The invention provides a multi-modal information acquisition and roof global attitude monitoring method and system, and relates to the technical field of mining safety monitoring and roadway surrounding rock control. The method comprises the following steps of: acquiring acoustic, optical, electrical and mine pressure multi-source data by arranging a fan-shaped drill hole, an annular electrode array and various mine pressure monitoring devices; a wave velocity profile, a fracture parameter set and a resistivity equivalent cloud picture are generated through wavelet noise reduction, fracture recognition and resistivity inversion, space-time registration with a mine pressure data sequence is carried out, and roof partition probability distribution is output through a space-time feature pyramid network. Furthermore, improved XGBoost is adopted for joint inversion of the thickness of the loose circle, the Poisson's ratio and the elastic modulus, probability distribution serves as a space weight, the separation amount and anchoring stress data are fused, and a roof displacement field, a curvature field and a rotation field are reconstructed. And finally, generating an early warning based on a preset safety threshold value, outputting a posture partition map and a monitoring report, and realizing top plate posture transparent deduction and support coordinated regulation and control.

The present disclosure relates to a remote surgical robot system and a method for device interconnection therein. The method comprises: receiving second device information, which is sent by a server, of a pairable second device; acquiring target second device information, which is determined on the basis of the second device information, of a target second device that is expected to be paired, and sending a first pairing request to the server; receiving device network information, which is sent by the server when detecting that the first pairing request matches a second pairing request sent by the target second device, of the target second device; and establishing pairing with the target second device on the basis of the device network information, thereby implementing direct communication with the target second device. When the server detects that a pairing request initiated by a remote surgeon console matches a pairing request initiated by a patient surgery platform, device network information of a peer device is sent to at least one of the two for establishing the pairing, thereby avoiding incorrect pairing, ensuring the reliability of establishing the pairing, and improving the safety of remote surgery.

The invention relates to a charging intelligent customer service industry knowledge base updating method and device based on online feedback, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring service object feedback information received by a charging intelligent customer service system; obtaining a knowledge base feature set corresponding to each industry knowledge base associated with the charging intelligent customer service system; the knowledge base feature set comprises at least one of a keyword set, a knowledge classification tag and a typical question library; according to the knowledge base feature set corresponding to each industry knowledge base, matching the service object feedback information with each industry knowledge base to obtain a matching result; and under the condition that the matching result indicates that the target industry knowledge base matched with the service object feedback information exists in the industry knowledge bases, updating the target industry knowledge base according to the service object feedback information. By adopting the method, the updating accuracy of the industry knowledge base in the charging intelligent customer service can be improved.