315results about How to "Improve service efficiency" patented technology

The invention discloses an intelligent management system for a service consultation platform, and the system comprises the steps: processing data through a data collection and processing module; using a data fusion unit to construct a feature matrix for the cleaned multi-source data; based on a demand prediction module, generating a prediction result of the user consultation demand; user input is recognized through a semantic analysis and question and answer module; the analyzed semantic information is transmitted to a knowledge management module, matched content is retrieved from a knowledge base based on a semantic similarity matching algorithm, and answers are generated after ranking according to priorities; information in the service process is collected through the service quality dynamic evaluation module for scoring, an optimization scheme is made through the service optimization strategy generation module, and the optimization scheme is fed back to the evaluation module to achieve closed-loop management. According to the method, the prediction capability and the service efficiency of the platform are remarkably improved, and more efficient and more personalized consultation experience is provided for the user.

The invention discloses an intelligent data information rapid checking and question-answering system, which relates to the technical field of intelligent data information and comprises a document import module, a vectorization analysis module, an NLP processing module, a question-answering matching module and a result output module. The document import module is used for receiving and importing documents including but not limited to PDF, DOC, TXT and PPT, analyzing the documents in different formats by adopting corresponding libraries and tools, identifying and classifying the files by identifying title formats and question number formats when processing the files in test questions and test paper formats, and performing preliminary analysis on the contents of the documents by utilizing a machine learning algorithm; according to the invention, the system not only can realize the rapid checking and question-answering functions of documents, but also can be applied to the field of educational training, realizes the online editing, management and test paper formation of test questions, reduces the manpower consumption in basic training business, and integrally improves the working quality and efficiency; meanwhile, the system can help enterprises to carry out internal training and examination, and improves the practicability and application range of the system.

The invention discloses a telecommunication system service authorization method, and relates to the technical field of optical communication, and the system comprises the following components: S100, a user behavior data acquisition and analysis module, S200, an AI learning engine, S300, a personalized authorization strategy generation module, S400, a dynamic adjustment and feedback mechanism, and S500, a safety guarantee mechanism. According to the method, the diversified behavior data of the user is collected and analyzed in real time, the accurate user behavior portrait is constructed, and the prediction capability of the AI learning engine is combined, so that the future service demand of the user can be intelligently predicted, and a personalized service authorization strategy is generated according to the future service demand; according to the method and the system, telecommunication services which better meet the actual requirements of users can be provided for the users, the user experience is improved, the accuracy of service authorization can be ensured, unnecessary resource waste is reduced, and the service efficiency of operators and the customer satisfaction are improved.

The invention discloses an intelligent automatic coffee machine based on big data analysis, and relates to the technical field of intelligent coffee makers, the intelligent automatic coffee machine comprises a coffee machine and an intelligent control system connected with the coffee machine, and the coffee machine comprises a conveying device and a heat preservation cabinet device; the intelligent control system comprises an information acquisition unit, a data analysis unit, a control unit and an APP matched with the control unit, the information acquisition unit is used for acquiring related information and sending the related information to the data analysis unit, and the data analysis unit is used for analyzing, processing and learning the received information and feeding back an analysis result to the control unit; the system has the advantages that the use convenience and satisfaction degree of the user are remarkably improved through remote ordering, diversified selection and a flexible goods taking mode, the system can provide accurate coffee formula recommendation based on user historical data and environmental factors, personalized requirements are met, and recommendation is more intelligent and accurate through advanced recommendation algorithm and model optimization.

The invention discloses an accumulation fund management system based on multivariate heterogeneous data fusion and a control method thereof, and relates to the field of accumulation fund management systems, and the system comprises a data access layer which is used for receiving various heterogeneous data sources of a bank end, an enterprise end and an accumulation fund management center end; the data fusion layer is used for performing data cleaning operation, data matching operation and data model construction operation on the heterogeneous data sources; the business processing layer is used for processing the accumulation fund core business; the data analysis layer and the business analysis layer are used for performing data analysis operation based on database storage data and user input data to generate an evaluation result; the security management layer is used for performing authority control operation on the access user, and the security management layer is also used for performing desensitization and encryption operation on the sensitive information; and the user service layer is used for providing mobile phone APP service, official account service and Web portal service.

The invention provides a customer service information processing method and device, and the method comprises the steps: obtaining historical corpus data, training a natural language understanding initial model, and obtaining a natural language understanding model; training the session management initial model by using the identified intention and entity and the corresponding historical session data to obtain a session management model; and inputting to-be-processed data into the natural language understanding model, identifying a user intention and an entity, and matching historical scene data by the session management model according to the identified user intention and the entity and corresponding historical session data and outputting corresponding operation. According to the invention, the reply time of the customer service staff to a single customer and a single customer message can be reduced, the customer response speed of the customer service staff is improved, the number of customers received in unit time is increased, and the service efficiency is improved.

The invention discloses a multi-key index fusion service resource scheduling method based on AI large model driving, and relates to the technical field of intelligent resource scheduling, when new service resources are generated, a scheduling process is automatically triggered, and service task information of the service resources is identified and collected; and collecting latest engineer related data, and integrating engineer data and task information to obtain a multi-dimensional task data set. According to the multi-key index fusion service resource scheduling method based on AI large model driving, through comprehensive consideration of factors such as working saturation and distance, overfatigue of engineers and unnecessary path time waste are avoided, resources can be quickly responded, and the average duration of resource processing is reduced, so that the overall service efficiency is improved, and the service quality is improved. And the resources are allocated according to the skills and historical good reputation rates of the engineers, so that the resources are ensured to be processed by the engineers with corresponding capabilities and high service quality, and the success rate of resource processing and the customer satisfaction are improved.

The invention relates to the technical field of data processing, and discloses a data management method and system based on a block chain and a meta universe, and the method comprises the steps: collecting initial data in a smart city through employing an intelligent device, carrying out the preprocessing of the initial data, determining a corresponding relation between data under the chain and a block record on the chain, and carrying out the collection of the data. Constructing a meta-universe virtual digital space of the smart city by using a three-dimensional modeling technology based on the second data in the block chain; constructing an intelligent prediction model through a GAN adversarial network, an LSTM network and an improved dung beetle optimization algorithm, and performing data prediction on the second data by using the intelligent prediction model to obtain a prediction result; and the user accesses the data of the smart city through the virtual reality device, and personalized recommendation is performed by the smart city. The data management level of the smart city can be improved, powerful support is provided for city planning and resource allocation, and the smart city can be promoted to develop towards a more intelligent direction.

The invention discloses a method and device for generating a management decision, equipment and a storage medium, and the method comprises the steps: collecting related data of a property management system, and obtaining a long text data set; cleaning and preprocessing the long text data set by using an RAG technology to obtain preprocessed property management data; constructing a property manager agent; performing reasoning analysis on the property management data through the property manager agent to generate a management decision; wherein the property manager agent construction comprises the following steps: setting a task; calling a large language model to process the task; executing an instruction output by the large language model to obtain a historical processing result; wherein the instruction comprises an analysis instruction, a selection execution tool and an execution tool sequence; and storing the historical processing result by utilizing a cache processing mechanism. The property manager intelligent agent not only can improve the efficiency and quality of property management, but also can improve the life experience of residents.

The invention discloses an online car-hailing fee scheduling method based on supply and demand prediction and a storage medium. The invention relates to the technical field of online car hailing. Passenger request data including driver positioning information 1, weather forecast API information w, traffic flow data f and event calendar e are integrated to form a data set D; useful numeric features are screened out from the data set D, and comprise the thermodynamic levels of a departure place and a destination, weather classification codes and time sequence features; and the local space extractor processes geographical distribution data of a departure place and a destination by using a CNN, extracts a feature map in combination with GIS data, and carries out training to obtain local space correlation A of the online car-hailing demand. A model integrating the CNN, a dynamic selection regression model (gradient boosting tree) and global correlation analysis is adopted, and the online car-hailing demand is obtained. Therefore, the supply and demand conditions of online car-hailing can be predicted precisely. According to the method, the influence of local space, a time sequence and global factors on supply and demand can be captured, and the prediction accuracy and adaptability are improved.

The invention relates to the technical field of big data processing, in particular to a service recommendation method, system and device, a server and a storage medium. The method comprises the steps that when an incoming call request of a target user is received, a user portrait of the target user is called, and the user portrait comprises historical behavior information, basic information, historical service information and historical business information; the service labels are analyzed based on the user portraits, a correlation sequence is obtained, the correlation sequence comprises the correlation between the target user and each service label, and the correlation represents the probability that the user needs the service corresponding to the service label; determining a recommendation service type for the target user from the correlation sequence, and generating recommendation voice based on the recommendation service type; and then an incoming call request is accessed, and recommended voice is broadcasted for the target user. By adopting the method, the customer service efficiency can be improved.

The invention relates to the technical field of information, in particular to a system for realizing multi-application integration based on a middle platform architecture. Comprising a middle station service module which supports cross-application service calling and data sharing by constructing a middle station service layer; the resource management module is used for optimizing resource allocation by utilizing a virtualization technology and cloud load balancing; the security control module is used for implementing unified password management and encrypted transmission to guarantee data security; the interface specification module adopts a unified butt joint mode to simplify an application integration process; and the data analysis module is used for collecting user behavior data and mining and analyzing the data. Therefore, government affair service efficiency and quality are effectively improved, and deepening development of government affair digital transformation is promoted.

The invention provides a multi-source fusion question answering method and device, a storage medium and an electronic device.The method comprises the steps that question data input by a user is received; state information of multiple question and answer models is obtained, priorities of the multiple question and answer models are obtained, and the multiple question and answer models comprise a local knowledge base, an artificial customer service model and a generative artificial intelligence AI GC model; calling a matched target question and answer model based on the state information and the priority; and inputting the question data into the target question and answer model, and returning reply data of the question data. Through the embodiment of the invention, the technical problem of low accuracy and efficiency of answers returned by a question answering system in the related technology is solved, and the speed and accuracy of obtaining the answers are improved.

The invention provides a reservation in-store maintenance control method and device, electronic equipment and a storage medium, and relates to the technical field of vehicle reservation maintenance. The method comprises the following steps: acquiring fault information sent by a user terminal; the fault information is generated by the user terminal after all fault assemblies are determined; a retrieval instruction is sent to all maintenance shops according to the fault information, so that all the maintenance shops make feedback to the server after determining inventory conditions of all the standby assemblies; taking the first type of maintenance shop and the second type of maintenance shop as optional maintenance shops; and arranging the selectable maintenance shops into a push list and sending the push list to the user terminal for the user to select and reserve. The problems that the maintenance period is prolonged and time is wasted due to the fact that a replaceable standby assembly is lacked in vehicle in-store maintenance are solved, and the experience of a user in the aspect of maintenance service can be improved.

The invention discloses a truck-unmanned aerial vehicle multi-target cooperative express delivery and pickup path planning method. The method comprises the following steps: acquiring related parameters and a constraint condition set of a vehicle-aircraft cooperative logistics service; constructing a target function set representing the path cost minimization of all client points of the vehicle-machine collaborative logistics service based on the related parameters; performing joint solution on the target function set and the constraint condition set in combination with a heuristic algorithm to obtain an optimal express delivery and pickup path scheme of the vehicle-machine collaborative logistics service; and based on the optimal express delivery and pickup path scheme, the unmanned aerial vehicle and the truck are controlled to realize delivery and pickup of the express delivery of the client. According to the method, the truck executes the express pickup task, and the unmanned aerial vehicle only executes the express delivery task on the premise of meeting the load and voyage constraints, so that the performability is increased; through subarea division and loading of the multiple unmanned aerial vehicles by the truck, each unmanned aerial vehicle only takes off once in each subarea, and delivery service can be provided for multiple client points, so that the service efficiency of the client points is greatly improved, and the total driving cost of the truck and the unmanned aerial vehicles is optimal through reasonable path planning.

The invention discloses a multifunctional medicine dispensing device, a medication consultation method and a medicine dispensing method. Comprising a computer, a computer AI consultation system, a computer AI dispensing system, a pharmacy medical information system, an inner interactive broadcasting device, an outer interactive broadcasting device, a camera device, a liftable dispensing table, a foldable dispensing plate, a movable prescription rack, a movable office supply rack, a movable low medicine cabinet, a liftable backrest seat, a dispensing basket and a dispensing cabinet. The AI technology and the multifunctional medicine dispensing device are utilized, firstly, an AI consultation system is developed, a pharmacist is assisted in answering window medicine consultation, the pharmacist only needs to input keywords, the AI system automatically searches in a pharmacy medical information system and obtains related consultation medicine information, and convenience and service quality of reasonable medicine use guidance are improved; and 2, an AI dispensing system is developed, and the prescription of the AI system is clicked, so that the names and the quantity of prescription medicines can be broadcasted, a pharmacist is assisted to check the dispensed medicines, dispensing and dispensing errors are reduced to zero, and the dispensing accuracy rate reaches 100%. The invention provides a multifunctional device. Meanwhile, a micro camera is installed in a combined mode to verify the real dispensing condition. An internal and external interaction broadcasting device is installed to improve the volume of window medicine use education and patient consultation, and communication between pharmacists and patients is facilitated; the multifunctional dispensing device is designed, the space utilization rate of a dispensing table and the work convenience of pharmacists are improved, a large amount of repeated labor of the pharmacists is reduced, and therefore the service quality and efficiency are improved.

The invention belongs to the field of artificial intelligence and financial science and technology, and relates to a dynamic form generation method, which comprises the following steps: preprocessing unstructured text data requested by a client form to obtain preprocessed text data; inputting the preprocessed text data into an intention recognition model to obtain an intention category; form keywords are selected according to the weights, and the incidence relation of the form keywords is obtained; retrieving a candidate record set from historical query records according to the form keyword; calculating probability distribution of the candidate record set by adopting a maximum entropy model to obtain a prediction probability; according to the prediction probability, determining a candidate record most related to the client form request as a form generation reference knowledge base; and generating a personalized form based on the form generation reference knowledge base. The invention further provides a dynamic form generation device, computer equipment and a storage medium. In addition, the invention further relates to a block chain technology, and historical query records can be stored in a block chain. According to the invention, personalized services can be provided, the business process is simplified, and the error rate is reduced.

The invention relates to the technical field of reservation bus taking, and discloses an unmanned driving-based reservation and conventional bus hybrid method, which comprises the following steps of S1, acquiring a reservation request by utilizing a reservation clustering algorithm model; s2, acquiring a reserved vehicle by using a fish swarm algorithm model and automatically driving the reserved vehicle to a reserved getting-on point; s3, switching vehicle states to realize vehicle deployment; s4, planning a reserved route by using the enhanced VPR algorithm model; and S5, the reservation task is completed, and the vehicles are allocated. The state switching between the normal state and the stress state of the vehicle is realized by using the fish swarm algorithm, the reservation route planning is realized based on the enhanced VRP algorithm model, the transport capacity of the idle reservation vehicle is put into the conventional route, and meanwhile, the idle conventional vehicle receives the reservation order, so that the space-time utilization rate of the unmanned vehicle can be effectively improved, and the space-time utilization rate of the unmanned vehicle is improved. The service efficiency of bus travel is improved, the idle phenomenon is reduced, the resource utilization rate is improved, and the operation cost is reduced.

The invention relates to the technical field of medical services, in particular to an integrated intelligent medical service system, method and equipment. The system comprises a doctor-seeing appointment service module, a hospital guide service module, a post-diagnosis service module and a service rating module. The doctor-seeing appointment service module is used for generating doctor-seeing appointment suggestions according to doctor-seeing demands input by the patient and receiving doctor-seeing appointment information selected by the patient from the doctor-seeing appointment suggestions; the hospital guide service module is used for carrying out hospital guide on the patient based on the treatment appointment information in the treatment process of the patient and recording treatment data in the treatment process of the patient; the after-diagnosis service module is used for generating health suggestions based on the treatment data and recording feedback information of the patient for the health suggestions; and the service rating module is used for generating a rating report of the doctor seeing service for the patient based on the doctor seeing reservation information, the doctor seeing data and the feedback information, and generating an improvement strategy based on the rating report. The service quality and efficiency can be improved.

The invention belongs to the technical field of shared charging, and particularly relates to a charging robot layout method based on environmental perception, which comprises the following steps of: acquiring crowd distribution information in a region by introducing an infrared sensing module, planning an advancing path of a robot in combination with information of a position module, and identifying an optimal staying position by using an image acquisition module; and the robot can intelligently avoid the crowded area and select the most suitable place to provide service. And meanwhile, the electric quantity state of the robot is continuously monitored, the recharging process is automatically started when the electric quantity is lower than a preset threshold value, and seamless switching between the robot about to run out of power and the standby robot is achieved in combination with dispatching of the central control system. The method not only improves service efficiency and user experience, but also effectively avoids service interruption caused by insufficient power of a single robot, and ensures continuity and stability of service.

The invention provides a server parameter optimization method and device, and the method comprises the steps: obtaining a state parameter set and an execution action set of a server cluster, and the state parameter set and the execution action set are provided with time labels; based on the state parameter set and the execution action set, a multi-agent reinforcement learning algorithm is utilized to determine local evaluation prediction parameters; based on the state parameter set and the execution action set, global evaluation prediction parameters are determined by using an adaptive dynamic programming model; and optimizing the execution action set based on the local evaluation prediction parameters and the global evaluation prediction parameters. According to the method disclosed by the invention, the local evaluation prediction parameters and the global evaluation prediction parameters corresponding to the server cluster are determined by using the QMIX model and the ADP model, so that automatic optimization of the execution action set of the server cluster is realized, and the stability and the service efficiency of the server cluster are improved.

The invention provides an airport passenger travel data processing method and device based on artificial intelligence, and relates to the field of data processing. The method comprises the following steps: responding to a dining request input by a passenger through user equipment; boarding duration, boarding gate position information and carry-on luggage information of passengers are obtained; according to the boarding duration and the carry-on luggage information, determining the dining duration of the passenger; acquiring current position information of the passenger; acquiring real-time meal delivery duration, real-time queuing duration and dining duration corresponding to the dining place in the preset range; determining the dining duration based on the current position information and the real-time serving duration, the real-time queuing duration and the dining duration corresponding to the dining place; according to the dining duration, screening from the plurality of dining durations to obtain a first dining duration meeting a preset condition; determining a first dining place corresponding to the first dining duration; and sending the first dining place to the user equipment. By implementing the technical scheme, the problem of reasonable arrangement of travel time of airport passengers can be solved.

The invention discloses a water service customer service supervision system based on a cloud platform, which belongs to the technical field of water service customer service and comprises a water service timeliness module, a monitoring module, a monitoring analysis module and a management module. The water affair timeliness module is used for carrying out service supervision on water affair tasks of customer service staff, carrying out dynamic timeliness evaluation and adjustment on data of the water affair tasks and setting timeliness coefficients corresponding to the water affair tasks; the monitoring module is used for monitoring the service process of customer service staff in real time to obtain service monitoring data of each customer service staff for each water task; the monitoring analysis module is used for monitoring and analyzing each water affair task of each customer service, acquiring evaluation data of each water affair task in real time, and evaluating a task service value of the corresponding water affair task according to the evaluation data and service monitoring data; generating a service evaluation curve according to each task service value; evaluating the customer service according to the service evaluation curve to obtain a comprehensive service score of the customer service; and the management module is used for performing management according to the comprehensive service score of each customer service.

The invention discloses a vehicle-road cooperative scheduling method and system between a bus and a station, and the method comprises the steps: collecting data in real time through vehicle-road cooperative equipment at a bus side and a station side, obtaining the collected data, carrying out the preprocessing and fusion of the collected data, and obtaining a fused data set; constructing a safety early warning model of the bus and the station based on the fused data set, and identifying safety risks and generating safety early warning information by using the safety early warning model; according to the invention, efficient, safe and intelligent monitoring and scheduling functions are provided for urban public transportation, so that the travel experience of passengers can be improved, the bus operation cost can be reduced, and the sustainable development of the urban transportation can be promoted; and meanwhile, potential safety hazards and operation bottlenecks can be automatically identified through fusion of video data and radar data, so that safety early warning and scheduling optimization suggestions are generated, the safety of passengers and vehicles is ensured, the bus service efficiency and quality are improved, and the system is suitable for being widely popularized and used.

The invention discloses a healthy diet nutrition collocation guidance platform based on artificial intelligence, and the platform comprises the steps: obtaining a diet collocation plan needing to be implemented by a user, extracting a needed estimated time length corresponding to the diet collocation plan, dividing the needed estimated time length into X observation sub-time zones according to the time length range of the needed estimated time length, and carrying out the calculation of the X observation sub-time zones. When the divided observation sub-time zones are reached, the weight change condition of the user in the current observation sub-time zone is analyzed, the implemented diet matching plan is adjusted, and the adjusted diet matching plan is used as the diet matching plan temporarily implemented by the user in the next observation sub-time zone, so that dynamic adjustment of the diet matching plan is realized; and the continuity and stability of the weight losing effect of the user in the implementation process are ensured.

The invention discloses an intelligent service linkage queuing number calling method based on an AI learning model. The method comprises the following steps: a transacter obtains a unique queuing number through a queuing number taking module; the queuing management module is used for managing the transaction processes of all transactions and dynamically informing the transactors of transaction recommendation sequences of all the transactions, the currently available optimal waiting window and the predicted waiting time in real time; in the transaction handling process, if a transacter cannot arrive at a handling window in time, a queuing management module intelligently adjusts a reservation number calling queue of subsequent transactions according to the actual transaction handling progress and the situation of a queuing resource pool of remaining transactions; and if the transacter needs to cancel the transaction of a certain transaction, the queuing management module intelligently adjusts the waiting window of the subsequent transaction and the required waiting time. The invention relates to the technical field of artificial intelligence scheduling, and can solve the problem that in the prior art, when a transacter transacts multiple transactions at the same time, conflicts or number missing is likely to happen.

The invention provides a multi-unmanned aerial vehicle path planning and power distribution method based on an automatic encoder, and relates to the technical field of unmanned aerial vehicles. According to the invention, the problems of power distribution and path planning in a multi-unmanned aerial vehicle scene are researched, and the purpose is to maximize the average data transmission rate of user equipment in a random user environment. Therefore, the invention provides a deep reinforcement learning framework oriented to a distributed multi-agent environment, and provides a solution for autonomous cooperation of the unmanned aerial vehicle. According to the framework, a common communication basis of the unmanned aerial vehicles is learned by using a self-supervised representation learning task based on an automatic encoder, and on the basis, the unmanned aerial vehicles can understand and convey information observed by each other, so that the information acquisition capability of the unmanned aerial vehicles under a limited observation condition is improved. The method is suitable for a completely dispersedly executed system structure, does not need additional auxiliary information, and realizes efficient information transmission and communication between unmanned aerial vehicles, thereby effectively improving the service efficiency of an unmanned aerial vehicle network.

The embodiment of the invention provides an intelligent customer service response method and device, equipment and a storage medium, and relates to the technical field of vehicle diagnosis, and the method comprises the steps: receiving a consultation question sent by a response terminal, and judging whether the consultation question has a preset answer or not; if the preset answer exists, sending the preset answer to the response terminal; if the preset answer does not exist, sending the consultation question to a manual terminal; and receiving a target answer sent by the manual terminal, sending the target answer to the response terminal, and providing the target answer to a user by the response terminal. By judging whether the consultation question has the preset answer, the service efficiency can be improved, the labor cost is reduced, and the user satisfaction is improved; and receiving the target answer sent by the manual terminal, so that the question of the user can be accurately and comprehensively answered, the service quality is improved, and the question answering range of the service terminal can be updated and expanded through the participation of the manual terminal.

The invention discloses a beauty health information management system. According to the technical scheme, the beauty health information management system mainly comprises a user information management module, a data acquisition module, a health assessment module, a personalized scheme recommendation module, a reservation and service management module and a data security and privacy protection module. The user information management module comprises the following steps: S1, user file management: storing basic information of a user, and storing and recording dynamic health information of the user, such as a skin type, a body fat rate, blood pressure and an allergy history; s1.1, data input and update: supporting manual input and automatic synchronization of health data by an intelligent device, receiving data uploaded by a user or the device through a form or an API interface, and updating a database; and S1.2, querying and screening: quickly retrieving user information and historical data, supporting screening according to time and categories, and realizing a multi-condition screening function through SQL query.

The invention relates to an intelligent customer service method, and aims to provide personalized and accurate customer service reply through advanced technical means. The method comprises the following steps: firstly, acquiring and analyzing a query request of a user regardless of the form of text, voice or image; thirdly, intention recognition is conducted through a preset response model, a user portrait is generated in combination with historical interaction data of the user, and customer service requirements are predicted according to the user portrait. And by correcting the prediction intention data and considering the user preference, an accurate customer service reply is generated. In addition, the system also collects subsequent behavior data of the user, constructs a service scoring data set, and continuously optimizes the service model by using a machine self-learning algorithm. According to the method, the user satisfaction can be effectively improved, the click rate and the conversion rate are increased, the response time is shortened, the problem solving rate is improved, and continuous service optimization and performance improvement are realized.