20results about How to "Improve service satisfaction" patented technology

The invention discloses a multi-modal large model dialogue method and system based on context awareness and a medium. Relates to the technical field of intelligent dialogues. According to the scheme, the dialogue request information and the perception feature information are generated in the context perception dialogue management model, and the answer strategy is determined according to the dialogue request information and the perception feature information; on the basis of various data of the user, system hot word auxiliary information provides personalized reply for the user and is more suitable for life links, accurate context perception is achieved, and enterprise product operation and development are served.

The invention discloses a fresh flower selling management system and method based on a block chain technology, and relates to the technical field of fresh flower management. A data acquisition module acquires real-time data of a fresh flower planting link and a logistics transportation link, transmits the real-time data to a block chain storage module, and binds an identifier of a fresh flower; the block chain storage module is used for storing the fresh flower information and storing the data of the full life cycle of the fresh flowers in a distributed account book; the user access module is used for checking a display legend of the fresh flower and related information of the fresh flower at a user side, and the intelligent contract module is used for generating order information and carrying out payment settlement and automatic account division; the inspection module is used for inspecting flower quality and flower information; and the abnormity monitoring and feedback module is used for timely recording and sending notifications when abnormity is found in the planting, transportation or sales process, and quickly positioning problem nodes. According to the method, the transparency of the whole flow of fresh flower planting and transportation is improved, the data security and credibility are ensured, and rapid traceability is realized.

The invention provides a customer service method, device and program product based on context semantic understanding, and relates to the technical field of Internet, the method comprises the following steps: in response to a received current dialogue text of a user, inputting the current dialogue text into a preset intention entity recognition model, performing intention recognition and entity recognition on the current dialogue text, and obtaining a preset intention entity recognition model; obtaining a user intention and a text entity; storing the user intention, the text entity and the current dialogue text as a current dialogue state, and updating a historical dialogue state corresponding to the user; determining a next customer service action based on the historical dialogue state through a preset dialogue strategy; the preset dialogue strategy comprises a second dialogue strategy based on rule matching and / or a first dialogue strategy based on deep learning; and executing the next customer service action and generating a corresponding customer service dialogue text to be returned to the user. According to the method and the device, the problem of relatively low efficiency of intelligent customer service business can be solved. The problem solving rate can be improved, and the upstream and downstream efficiency of intelligent customer service is improved.

The invention provides a multi-farm picking and distribution integrated scheduling method based on an improved artificial bee colony algorithm, and relates to the technical field of agricultural product supply chain management and optimization, and the method comprises the steps: setting a constraint condition for a multi-farm picking and distribution integrated scheduling problem; defining an agricultural product freshness loss function; defining two objective functions, including an operation cost minimization function and a customer satisfaction maximization function; based on the constraint condition and the objective function, establishing a dual-objective model of multi-farm picking and distribution integrated scheduling; and solving the dual-objective optimization model to obtain an optimal solution set, and performing agricultural product scheduling according to picking and distribution information in the optimal solution set. According to the invention, picking and distribution links are effectively integrated, the operation cost is reduced, the freshness of agricultural products is guaranteed, the service satisfaction is improved, and an innovative and efficient solution is provided for an agricultural product supply chain in a community-supported agricultural mode.

The invention provides a fresh agricultural product picking and distribution integrated scheduling method based on a coevolution algorithm, and relates to the technical field of agricultural product supply chain management and optimization, and the method comprises the steps: setting a constraint condition for a fresh agricultural product picking and distribution integrated scheduling problem; defining an agricultural product freshness loss function and a picking team working efficiency function; defining two objective functions, including an operation cost minimization function and a customer satisfaction maximization function; based on the constraint condition and the objective function, establishing a dual-objective optimization model about fresh agricultural product picking and delivery integrated scheduling; and solving the dual-objective optimization model to obtain an optimal solution set, and performing agricultural product scheduling according to picking and distribution information in the optimal solution set. According to the method, the operation cost of farmers can be remarkably reduced, the profit margin is improved, meanwhile, it is ensured that consumers obtain high-quality and high-freshness agricultural products within the demand time period, and therefore the service satisfaction degree is greatly improved.

The invention discloses an intelligent user service platform based on big data, which comprises a service data analysis management module, a server semantic analysis module and an intelligent service interaction feedback module, the operation method of the platform comprises the following steps: step 1, integrating data, processes, resources, organizations and functions related to business products in different life cycles based on enterprise business services to a unified intelligent user service platform for analysis and management of service data; 2, on the basis of shallow-layer user consultation text semantic analysis, keywords are marked according to semantic similarity and a vector model, and the similarity between the keywords is calculated; step 3, constructing a rule of progressive service of the intelligent user server to the user level; 4, performing question semantic analysis and information retrieval on the questions consulted by the user to form final intelligent service interaction feedback; the problem of invalid service of intelligent customer service under complex conditions is solved, and the user service satisfaction degree and the user intelligent service quality are improved.

The invention relates to a charging demand prediction method based on regional distribution of user portraits, and belongs to the technical field of electric power. The method comprises the following steps: collecting geographical location information and charging behavior data of a user, and preprocessing the collected data; analyzing the preprocessed data, and creating a portrait of the user by using the charging place, the charging frequency, the charging time and the charging electric quantity of the user; carrying out regional distribution analysis on the user portraits, and researching user charging demands and behavior modes of different regions; and predicting the charging demand of the specific user group based on the created user portrait and the regional distribution analysis result. According to the invention, through the analysis of the user portrait and the regional distribution, the future charging demand can be predicted more accurately, and the situation of resource waste or short supply caused by inaccurate estimation is effectively avoided.

This specification provides an information processing method and system. The information processing method includes: performing information content detection on information to be interacted with to obtain interaction detection information, wherein the information to be interacted with is determined by a detection object targeting a service object; if the information to be interacted with passes content detection, sending the information to be interacted with to the service object, wherein the content detection result of the information to be interacted with is determined based on the interaction detection information; acquiring historical behavior information associated with the detection object and the service object; performing behavior detection on the detection object in at least one detection dimension based on the historical behavior information to obtain behavior detection information, and generating an interaction event based on the behavior detection information, wherein the interaction event is used to provide extended services to the detection object.

The invention discloses an intelligent helmet storage box, a shared electric vehicle and a helmet return control method, and the intelligent helmet storage box comprises a box body which is used for containing helmets or articles; the turnover box further comprises a turnover mechanism which is movably connected to the box body. And the electric opening and closing device is connected with the turnover mechanism and drives the turnover mechanism to turn over so as to block the articles in the storage box. The intelligent helmet storage box is fixedly installed on the shared electric vehicle and used for containing helmets and storing the helmets, automatic helmet storage is achieved, and the technical effects of high-automation and intelligent operation experience, enhanced safety, improved operation efficiency and maintenance convenience, compact structure, reliability, user friendliness, timely feedback and the like are achieved. And an advanced and reliable solution is provided for industries such as shared electric vehicles.

The utility model discloses a precise needle head double-air-passing filter which comprises an upper shell, a lower shell and a protective cap, the upper shell is arranged on the lower shell, and the protective cap is detachably arranged on the upper shell; the upper shell is provided with a bolt part, a first flow channel, a first exhaust hole and a first half cavity; the lower shell is provided with a nipple, a second flow channel, a second exhaust hole and a second half cavity; the novel needle head double-air-passing filter has the advantages that the use is convenient, the manufacturing cost is low, the exhaust time before injection is shortened, the bidirectional air passing function is achieved, the contradiction between medical care and patients is reduced, the service satisfaction degree of the medical care personnel is improved, the time for the medical care personnel to inject and rescue the patients is saved, and whether air exists after injection or not is not worried. In addition, a direct fixing method is adopted to change a traditional hot welding film fixing method, so that the physical and chemical characteristics of the film are kept, and the production cost is saved while the gas passing function is better realized.

The invention discloses a semiconductor layout IP information extraction method, which comprises the following steps: S1, extracting specified IP information to form an IP information preliminary screening table in a specified format, regarding an IP with any information difference as an independent individual in the IP information preliminary screening table, and respectively describing the IP representation of each independent individual in the IP information preliminary screening table; s2, extracting IPs of the same name from the IP information primary screening, obtaining the difference of the IP information of the same name, and forming an IP information form of a specified format; and S3, comparing the IP information form with the external source IP information, and judging whether the IP information is accurate or not. Compared with the prior art, the method can reduce the comparison complexity of the IP information of the client or the third party, reduce the working time of the IPmerge, and improve the accuracy and credibility of information comparison, thereby reducing the risk possibly caused by the information filling problem of the client, and improving the service satisfaction of the client.

The invention relates to the technical field of power construction equipment warehouse-in and warehouse-out, and discloses a power construction equipment warehouse-in and warehouse-out management method based on intelligent warehousing, and the method comprises the steps: obtaining a construction equipment returning reason of a construction team applying for construction equipment returning, executing a construction equipment returning reason judgment strategy, and judging the reason type of the construction equipment returning reason; executing a construction machine returning moment prediction strategy, obtaining a moment when the electric power construction machine returned by the second construction team starts to transport, and recording the moment as a construction machine returning moment; executing a distribution time judgment strategy, and judging whether a time condition for sending the electric power construction equipment of the second construction team to the first construction team is met or not; executing a distribution type judgment strategy, judging whether the type of the electric power construction machines of the third construction team is equal to the type of the electric power construction machines purchased and reserved by the first construction team or not, and matching the corresponding third construction team according to the number of the electric power construction machines delivered from the warehouse by the first construction team; executing a distribution distance screening strategy, and screening a fastest distribution mode; the warehouse distribution efficiency is improved, and the number of power construction tools entering and exiting from the warehouse is reduced.

The invention discloses an electric power service sensitivity grading method and system based on customer grouping, and relates to the technical field of service sensitivity grading, and the method comprises the steps: screening out a non-forward feedback work order from historical feedback customer service work orders, and extracting sensitive information from the non-forward feedback work order; for each power customer, based on the sensitive information, calculating to obtain comprehensive sensitivity and personalized sensitivity of the corresponding sensitive point; according to the comprehensive sensitivity and the personalized sensitivity of the sensitive point corresponding to each power customer, calculating to obtain the target sensitivity of the sensitive point corresponding to each power customer; based on a preset sensitivity level, obtaining a target sensitivity level of each power customer according to each target sensitivity by using an improved k-means clustering algorithm; according to the method, sensitive points and sensitivities of different customer groups are accurately found, different marketing strategies are made for different customer groups, lean services are provided for customers, and the customer service satisfaction degree is improved.

The embodiment of the invention belongs to the field of financial science and technology, and relates to a seat verbal skill recommendation method and device, computer equipment and a storage medium, and the method comprises the following steps: obtaining customer communication voice information and customer communication text information; performing first emotion analysis on the client communication voice information according to a preset first user emotion analysis model to obtain first emotion information; performing second emotion analysis on the client communication text information according to a preset second user emotion analysis model to obtain second emotion information; performing emotion calculation according to the first emotion information and the second emotion information to obtain emotion analysis information; obtaining product knowledge information, and generating a recommended verbal skill according to the product knowledge information and the sentiment analysis information; and sending the recommended verbal skill to a seat display interface for display. According to the method, accurate and specialized recommendation verbal skills can be effectively generated according to the emotional state of the customer, so that the service satisfaction of the customer is improved.

The present application belongs to the technical field of satellite communication, and particularly relates to a switching channel resource management method, which mainly solves the problem of high switching failure rate or low new call user access success rate caused by unreasonable switching channel reservation in the prior art. The implementation scheme is as follows: in the face of the staring coverage mode, the global ground surface area is divided into several position areas according to the longitude and latitude; the number of new call users in each position area in a future period of time is predicted according to the user behavior data of each position area at historical time and the user behavior data at the current time; the user access success rate, the user switching success rate and the user average weighted satisfaction are set as the utility function, and the optimal channel resource threshold of all low-orbit satellites and the optimal switching channel of the switching user are periodically calculated. The present application improves the user access success rate and the user switching success rate, reduces the calculation amount of user access and switching, improves the user service satisfaction and the channel resource utilization rate, and can be used in the satellite communication network.

A method for processing real-time income distribution based on a batch file mode comprises the following steps: (1) reading latest total day end data line by line and recording the data into a system, and starting data storage processing when a preset number of lines of data are read; (2) checking the amount of money of the original data meeting the revenue distribution condition to ensure that the cardinal number of the calculated revenue is accurate; (3) the marketing system reads order data of income dates from the database in a paging manner according to income rules, and calculates income data to be distributed; in conclusion, the method can quickly and accurately process income distribution, and can timely reflect the income distribution on the account of the user, so that the user experience and the service satisfaction are improved; the real-time income issuing data is processed based on the batch file mode, it can be guaranteed that when the data size is large, a bank system can rapidly process a large amount of data in batches, the transaction safety can be improved, and server resources are more reasonably utilized.

The invention discloses a digital integrated platform system based on employee operation and passenger service in an airport terminal, and realizes passenger service and flight guarantee one-stop service in a forbidden zone. According to the technical scheme, the system comprises a special situation processing system and a production guarantee system, the special situation processing system comprises a flight delay module and a flight oversale module, and the production guarantee system comprises a flight information module, a basic function module and a transfer passenger module. The flight delay module is used for processing online flight delay payment, custom editing information pushing and period change in an abnormal flight forbidden zone; and the flight oversale module processes online oversale compensation and oversale flight volunteers to bid and recruit. The flight information module processes and integrates internal and external information systems and intelligently pushes information; the basic function module processes boarding gate seat changing, one-key outbound passenger late arrival reminding, MUC group optimization, remote camera position scanning and rechecking and domestic check-in. And the transfer passenger module processes online transfer query and transfer passenger service.

The invention provides a display scheme of examination guidance of a physical examination center based on a client identity state. The method comprises the following steps: starting a virtual occupation function of a queue; setting a queue in a queuing process according to a virtual person generation rule to automatically generate virtual persons; and defining an emergency customer through rule conditions, and setting that the emergency customer enters a queue in a queue jumping mode in a mode of replacing virtual personnel when entering the queue for queuing. In the queuing process of ordinary customers, the situation that the actual queuing position is changed due to queue jumping of the emergency customers is avoided, the priority service of the emergency customers and the queuing feeling of the ordinary customers are considered, and the service satisfaction degree of physical examination is improved.

Embodiments of this application provide an electronic apparatus, a control circuit, and a transmission control method. The apparatus includes: the control circuit and at least two communication circuits, where the control circuit is configured to: obtain first service data, and selectively distribute the first service data to at least one of the at least two communication circuits, and any one of the at least two communication circuits supports one wireless communication protocol.

The application discloses a kind of distribution network equipment health degree evaluation and intelligent operation and maintenance method based on negative area integral model.The method is by building the dynamic negative area integral calculation model of fusion equipment outage, operating abnormity and multi-source data such as customer complaint, realize the accurate quantitative evaluation of the health state of line, distribution transformer and other equipment, and generate equipment panoramic health portrait for visual early warning.System is based on the evaluation result automatically triggers or intelligently recommends the operation and maintenance strategy such as differentiated patrol, maintenance, and pushes to the scene execution through mobile application.At the same time, the integral model is continuously self-optimized by using operation and maintenance closed-loop feedback data.The application effectively solves the problems of data dispersion, evaluation lag and decision-making relying on experience in traditional operation and maintenance, improves the initiative, accuracy and intelligent level of distribution network operation and maintenance, and guarantees power supply reliability and service quality.