185 results about "Service worker" patented technology

The invention discloses a service scheduling system based on artificial intelligence, and belongs to the technical field of service scheduling. Comprising a data acquisition layer, an artificial intelligence engine layer, a scheduling execution layer, a monitoring management layer and a function module. The data acquisition layer acquires and preprocesses data related to insurance services; the artificial intelligence engine layer integrates natural language processing and machine learning technologies, and identifies and analyzes customer demands; the scheduling execution layer realizes access of customer service staff through a scheduling algorithm according to customer requirements and customer service staff information; and the monitoring management layer monitors and optimizes the service scheduling process. According to the invention, customer demands are intelligently analyzed, appropriate professional service personnel are accurately matched, and zero-delay docking between demands and services is realized; service personnel are intelligently dispatched, the waiting time of clients is greatly shortened, and the satisfaction degree is improved; tasks are deployed according to the insurance business rhythm, the potential of service personnel is mined, idleness is reduced, and the overall service capacity is improved.

The invention discloses an automatic order sending system with an intelligent matching function, and the system comprises a data collection module which is used for collecting customer information, order information, service personnel information, and environment information; the data acquisition module is connected with a plurality of data sources, and obtains customer information such as basic information, historical order data, consumption habits and preferences of customers through an interface protocol; order information such as the type, the amount, the time, the emergency degree and the special requirement of the order is acquired; and service personnel information such as skill level, working experience, working time arrangement and service area preference of the service personnel is obtained. According to the automatic order sending system with the intelligent matching function provided by the invention, the technical aspect of the automatic order sending system with the intelligent matching function is remarkably improved. Through multi-dimensional data acquisition, the system can obtain more comprehensive and accurate information, and a solid data basis is provided for intelligent matching.

The invention relates to the technical field of order allocation, in particular to a housekeeping platform order allocation system based on big data analysis, which comprises the following steps of: comprehensively analyzing housekeeping service request information, identifying service types, emergency degrees of time requirements and resource requirements, and integrating to form a preliminary service order list based on clear rules; the resource allocation is ensured to have pertinence from a demand end, and the matching probability of the order and the service personnel is optimized and calculated by updating the position and state data of the service personnel in real time and adopting the ant colony algorithm, so that the order matching is quickly adjusted and accurately allocated in a dynamic scene, the low-efficiency matching possibility is reduced, the resource utilization rate is improved, and the user experience is improved. The optimal service path is designed from the angles of cost and efficiency through the greedy algorithm, the service response time is ensured to be minimized, meanwhile, the operation cost is reduced, the economical efficiency and the performability of path planning are enhanced, and the distribution efficiency, the user satisfaction degree and the overall operation efficiency of the platform are improved.

The invention discloses a hotel guest room service task intelligent scheduling system based on a cloud platform, and relates to the technical field of hotel service management, the intelligent scheduling system comprises a mobile client, a cloud server and a database system; and the mobile client is used for configuring a special mobile application program running on mobile equipment such as a smart phone or a tablet personal computer for hotel guest room service personnel. According to the intelligent hotel guest room service task scheduling system based on the cloud platform, service personnel can quickly respond to service requirements through real-time task pushing and mobile operation, the task waiting time is shortened, the moving speed of the service personnel is increased through positioning and navigation functions, the service response time is shortened, and the service efficiency is improved. Through detailed recording and picture and video uploading in the service process, service quality tracing and supervision are facilitated, weak links of the service process can be found and improved through data analysis, in addition, special requirements of guests are met through personalized service recommendation, and the satisfaction degree of the guests is improved.

The invention discloses an inference type dialogue response method and system based on a large model, and a storage medium, relates to the technical field of service consultation dialogue response, and solves the problems that the existing service consultation dialogue response is generally relatively simple, lacks an active inquiry strategy, only can be passively responded and cannot simulate a questioning mechanism of service personnel, and the service consultation dialogue response cannot be simulated. The technical problems of insufficient suggestion judgment accuracy and high misjudgment rate caused by difficulty in comprehensively and accurately collecting the conditions of the demanders in the prior art are solved. The method comprises the steps of obtaining voice data of a demander for service consultation; the method comprises the steps of performing feature extraction on voice input data to obtain condition feature data; inquiring the demander through a pre-trained condition inquiry model based on the condition characteristic data to obtain judgment data; matching from a historical consultation database based on the condition feature data and the judgment data to obtain a reasoning target; and feeding back a judgment suggestion to the demander based on the reasoning target, thereby solving the technical problem.

The invention discloses a big data-based government affair service window behavior analysis system and method, and relates to the technical field of government affair service analysis. A government affair service window behavior analysis system based on big data comprises a data acquisition module, an object identification module, a behavior analysis module, a service personnel evaluation module, a feature association module and a service optimization module. A correlation analysis model and a graph neural network technology are utilized to perform multi-dimensional analysis on service features of service personnel, group features of service objects and key features of window behaviors, dynamic correlation between service behaviors and feedback behaviors is accurately identified, scores of service efficiency, service attitude, user satisfaction and the like are generated, and the service efficiency, service attitude, user satisfaction and the like are improved. And the accuracy and depth of behavior analysis are obviously improved.

The invention provides a vehicle fault after-sales service method and device, a storage medium and electronic equipment, and is applied to the technical field of after-sales services, and the method comprises the steps: obtaining a fault after-sales request sent by diagnosis equipment; when the fault after-sales request is a tire pressure monitoring system fault diagnosis request, vehicle diagnosis data of a vehicle is obtained through diagnosis equipment, and a target after-sales service person is determined in all after-sales service persons through a recommendation algorithm; and pushing the fault after-sales request and the vehicle diagnosis data to a target after-sales service worker, so that the after-sales service worker uses the vehicle diagnosis data to remotely assist a customer in performing tire pressure detection system fault diagnosis on the vehicle. The fault after-sales request is sent through the diagnosis equipment, the after-sales service system quickly responds to the fault after-sales request, the response time of after-sales service is shortened, vehicle diagnosis data are provided at the first time through the diagnosis equipment, accurate data are provided for after-sales service personnel, the diagnosis work difficulty of the after-sales service personnel is reduced, and the diagnosis accuracy is improved.

The invention discloses a housekeeping platform order sending system based on the Internet technology, and relates to the technical field of housekeeping management systems, the housekeeping platform order sending system comprises a user side and a server side which are used for users and service personnel to place orders and receive orders, and a multi-dimensional portrayal module which is based on the relevant information of the service personnel and is used for sending the orders to the user side and the server side. And the multi-dimensional order sending module is used for processing and analyzing service requirements input by the user by adopting a natural language, extracting implicit requirements except for basic service types, time and places, and generating requirement feature vectors of the user, and is used for carrying out side portrait evaluation on service personnel and carrying out side portrait evaluation on the user according to housekeeping order information of the user as the same, and the multi-dimensional order sending module is used for processing and analyzing the service requirements input by the user by adopting a natural language, and can be used for extracting implicit requirements and generating requirement feature vectors of the user. Through the multi-dimensional portrait module, side portrait evaluation is carried out on service personnel from multiple aspects such as personality, capability, service evaluation, order completion degree, skill and education background, the problem of inaccurate matching caused by single index in a traditional order dispatching mode is avoided, and the order dispatching efficiency and the service quality are improved.

The invention provides a service optimization method and system based on data of old people, electronic equipment and a storage medium, and belongs to the field of services. The method comprises the following steps: acquiring basic information and demand information of old people and current service information provided by a community; using a K-means clustering algorithm to classify and label the old people based on the basic information and demand information of the old people; and optimizing the service according to the label identifier and the current service information provided by the community. By collecting and sorting the data of the old people and performing classification management, accurate data management is realized, so that accurate work guidance is provided for service personnel, and diversified requirements of the old people can be efficiently and accurately met.

The invention relates to the technical field of service management, in particular to a service personnel scheduling optimization method and system based on an intelligent terminal. The method comprises the following steps: collecting user behavior track data and service historical data through an intelligent terminal, extracting regional service request features, and dividing service space partitions; and service personnel data are obtained, a service capability portrait is constructed, and task requirements are accurately matched. Based on regional service features and service space partition, service personnel data are subjected to priority division, and efficient task allocation is ensured. And furthermore, in combination with the behavior track and the ability portrait of the service personnel, cross-regional collaborative scheduling is optimized, and the resource utilization rate is improved. According to the invention, customer demands and service personnel can be accurately matched, dynamic optimization scheduling is realized, the operation efficiency of the foot bath city is improved, the scheduling cost is reduced, and the customer satisfaction is improved.

The invention relates to the technical field of artificial intelligence, and discloses a housekeeping service simulation training environment system and device based on AI. According to the system and the device, a housekeeping service basic data set is constructed by collecting user demands, service personnel skills, service scenes and historical feedback data in real time, the comprehensiveness and accuracy of data are ensured, in the data processing stage, key features are extracted, the user demand matching degree is calculated, a pure data set is generated, and the user experience is improved. The model training module utilizes an advanced machine learning algorithm to construct user demand prediction, service duration prediction and service efficiency index models, and the application of the models enables service personnel to more accurately meet diversified user demands, optimize service duration and improve service efficiency. The simulation environment module provides an interactive training platform for users and service personnel, the actual effect of skill training is enhanced, and the evaluation feedback module collects feedback information in real time to realize continuous monitoring and optimization of household service quality.

The invention discloses an intelligent distribution system based on deep learning and dynamic resource scheduling, and relates to the technical field of resource scheduling. Comprising the steps of 1, creating an intelligent distribution system, 2, integrating an NLP engine through a user request analysis module, carrying out intention recognition and semantic analysis on a user request, extracting a service type and related parameters, carrying out triple positioning by fusing GPS / base station / Wi-Fi, and obtaining user position information, and 3, constructing a service personnel digital portrait library through a dynamic resource management module, 4, calculating the geographic proximity of candidate service personnel and the user position through an intelligent matching module by adopting a Manhattan distance formula, training an LSTM neural network based on historical service data by utilizing a service quality prediction model, and obtaining the current position and the moving speed of the service personnel through the LSTM neural network; and step 5, obtaining user service evaluation data through a feedback module, triggering a service quality prediction model to perform retraining, and outputting a service quality prediction value in the confidence interval, generating a real-time comprehensive priority according to the geographic proximity, the service quality prediction value and the service emergency degree, and recommending services according to the comprehensive priority, and step 5, obtaining user service evaluation data through the feedback module, and triggering the service quality prediction model to perform retraining. And updating the service personnel digital portrait library by adopting an incremental learning strategy.

The invention provides a household service supply and demand intelligent docking management method and system based on big data analysis. The method comprises the following steps: collecting original data; processing and splicing the family structure information and the historical order information to obtain a comprehensive feature vector, and inputting the comprehensive feature vector into a multi-layer perceptron to obtain a life cycle stage vector; projecting the life cycle stage vector to a space consistent with a preference vector to obtain a stage service mask; carrying out dimension-by-dimension multiplication operation on the stage service mask, the preference vector and the attention weight to obtain a preference fusion vector; constructing a first service capability vector for each service staff, and reconstructing the preference fusion vector and the service capability vector to obtain a second service capability vector; and calculating an average value to obtain a comprehensive score, sorting the comprehensive scores of all candidate service personnel according to a score descending order, and finally selecting the candidate service personnel with the highest comprehensive score and meeting a threshold condition as an order sending object.

The invention discloses a high-speed rail business travel service personnel scheduling method based on data analysis, and relates to the technical field of personnel scheduling management. Comprising the following steps: data acquisition and integration: acquiring high-speed rail station operation data, passenger information, service personnel information and environment data; streaming data processing and space-time alignment are carried out on the collected data, and a dynamic main data matrix is constructed; service demand prediction: extracting passenger multi-dimensional features from the dynamic main data matrix, and generating passenger multi-dimensional feature tags; and performing bimodal demand prediction based on the passenger multi-dimensional feature tag in combination with the environmental data to obtain an initial passenger service demand. According to the invention, through establishing the bimodal service demand prediction method, extracting the multi-dimensional features of the passengers, combining environment data and predicting the demands of the passengers, passive response is converted into active prediction, the response speed is accelerated, the waiting time of the passengers is reduced, and the service quality and efficiency are improved.

The invention belongs to the technical field of housekeeping service, and discloses a housekeeping service system which comprises a user system module, a service management module, an order scheduling module and an evaluation risk control module. The user system module supports hierarchical authentication and authority distribution of clients, service personnel and administrators, and generates portrait label drive matching based on behavior data of the clients and the service personnel; the service management module constructs a secondary classification system, and adopts an intelligent recommendation engine driven by a fusion collaborative filtering algorithm and a deep learning algorithm to carry out household service project recommendation; the order scheduling module optimizes a service process by using order period management and an intelligent matching engine; and the evaluation risk control module ensures the justice of service quality monitoring and a credit system through a two-way evaluation mechanism and abnormal evaluation detection. The household service supply and demand matching efficiency can be improved, the service standard is optimized, the credit system is perfected, and a decision basis of data support is provided for large-scale operation.

A service information processing method based on intelligent interaction equipment comprises the following steps: service request input: inputting text information on a screen of an AI intelligent interaction terminal when a customer has a service demand; or the demand information is input through voice of the AI intelligent interaction terminal; information processing and screening: the AI intelligent interaction terminal sends the processed service request information to an AI server through a wireless communication network; the AI server screens and distributes the service requests to the service personnel through a deep learning algorithm and a preset distribution model according to the real-time working states of the service personnel; information transmission and response: the AI server sends the distributed service request information to the intelligent earphones of the corresponding service personnel; and after receiving the confirmation information, the AI intelligent interaction terminal informs the customer in a popup window display or voice broadcast mode. The problems that the efficiency is low and the cost is increased due to a traditional service request interaction mode in the service process of service personnel are solved.

The embodiment of the invention provides an information recommendation method and device, a storage medium and a program product. In the method, in a multi-modal recommendation model, according to service demand information and historical behavior information of a user, multi-modal demand understanding is carried out to obtain dual demand information of the user, according to multi-modal information of multiple service personnel, ability portraits of the service personnel are constructed, and the ability portraits comprise dominant skill information and recessive traits information; and according to the dual demand information and the ability portrait, performing dual demand matching between the user and the service personnel to obtain identification information of a target service personnel, and according to the identification information of the target service personnel, pushing detail information of the target service personnel to the user terminal equipment so as to recommend the target service personnel to the user. In this way, the service requirements of the user can be more accurately understood, the ability portraits of the service personnel can be more accurately constructed, the adaptation degree between the user and the service personnel is improved based on dual-requirement matching, and the service personnel are more accurately recommended to the user.

The invention discloses a building service personnel scheduling method, and relates to the technical field of building service personnel scheduling, and the method comprises the following steps: collecting building data through collection equipment, designing a smart bracelet, collecting building service personnel data, obtaining the completion degree of corresponding building service according to each piece of building service data, and obtaining the completion degree of the building service through a neural network algorithm. Building a building service progress monitoring model, obtaining a building service personnel scheduling result according to the building service personnel data in combination with the building service progress monitoring model, and building a building service personnel scheduling model by using a random forest algorithm; according to the method, the smart bracelet coding technology, the smart bracelet acquisition equipment technology and the big data processing technology are closely combined with the modern information technology, real-time and comprehensive monitoring of the building service progress is achieved, and the intelligent degree in the scheduling process of the building service personnel is remarkably enhanced.

The invention discloses a catering store customer behavior recognition and intelligent service response system, which belongs to the technical field of artificial intelligence and computer vision and comprises a data acquisition module, a data preprocessing module, a target detection module, a posture estimation module, a behavior feature calculation module, a keyword feature recognition module and an initial service demand triggering module. And a final service demand triggering module and a service response module. According to camera behavior recognition or / and voice keyword recognition, after it is recognized that the user has the service requirement, the initial service requirement is triggered, the judgment time is set, and within the judgment time, recognition is conducted again according to camera behaviors or / and voice keywords, so that the service requirement of the user is met. After the fact that the user still has the service demand is recognized, the final service demand is triggered and responded, the situation that the user service demand is self-solved is screened out through a mechanism of initial triggering-secondary verification-screening decision making, the probability of invalid turn-back occurrence of service personnel is reduced, and waste of service resources is avoided.

The invention discloses an active off-line calibration system and method for a vehicle-mounted controller and the vehicle-mounted controller. The method comprises the following steps: generating an off-line calibration file of the vehicle-mounted controller through a calibration tool and uploading the off-line calibration file to a vehicle networking service platform; after the controller is powered on, a request instruction is sent to the Internet of Vehicles service platform through the T-BOX; the car networking service platform responds to the T-BOX, wherein the response comprises a check code for calibrating the file, an FTP address for storing the file, an account number and a password; after receiving the reply, the T-BOX judges whether the calibration file needs to be updated or not, if not, subsequent operation is not carried out, and if yes, FTP is connected to download the calibration file; after the calibration file is downloaded, calibration data are transmitted to the vehicle-mounted controller, the vehicle-mounted controller updates the calibration data and resets the calibration data, and after resetting, the vehicle-mounted controller reads the latest updated calibration data to work. According to the invention, unmanned operation is realized, dependence on service personnel is reduced, labor cost is saved, and the method is suitable for batch processing of vehicles in the market.

The present invention discloses a catering service data processing system and method based on big data, comprising: a public information collection module, a restaurant information database, a restaurant image scanning module, a motion track analysis module, a public data processing module and a dining information feedback module, wherein the seat distribution information of the restaurant and the walking stride data of the service personnel are collected to the restaurant information database through the public information collection module, the position of the service personnel and the vacant seats are monitored in real time through the restaurant image scanning module, and image data are obtained, and the service personnel's dish serving route is predicted through the motion track analysis module, and the stride parameter is added in the process of calculating the dish serving route, and the service personnel who currently serves the fastest dishes are analyzed and selected, and arranged to serve the dishes, and the service personnel's dish serving information is fed back to the customer in time through the dining information feedback module, thereby speeding up the dish serving speed, improving the customer's dining comfort, and realizing the public information exchange between the kitchen, service personnel and customers.

The utility model discloses a voice intercom device, voice intercom device includes: voice emission module, voice receiving module, voice call button 110, MCU control module, MCU control module controls voice emission module to send call signal and user's voice signal, display screen module is used to show digit, first plug module, one end of first plug module is connected to computer interface, and the other end of first plug module is used to power supply voice emission module, voice receiving module, MCU control module and display screen module. The utility model has the beneficial effect that: after user presses voice call button 110, user communicates with the real -time voice of server through voice intercom device. User can obtain seat number or room number information from display screen module when communicating, thereby directly informs service personnel of server, avoids server service personnel after receiving multiple call signals simultaneously and can not confirm the position of user, improves the communication efficiency.

The invention discloses a bus turnover plan optimization method considering train number task distribution fairness, which comprises the following steps: step 1, constructing a turnover state space-time network capable of representing that buses execute train number tasks according to a given time table, including constructing a space-time node set and a space-time arc set in a space-time network diagram; step 2, based on the established space-time network, establishing a bus turnover plan network flow model with the goal of minimizing the number of buses executing the service task; 3, solving the mathematical model by using a Lagrange relaxation algorithm to obtain an initial public transport vehicle turnover plan scheme; and step 4, considering fairness, adjusting the obtained initial public transport vehicle turnover plan scheme, and finally obtaining an optimal public transport vehicle turnover plan scheme. According to the method, the fairness of bus number task allocation is considered, buses are used as few as possible, it is guaranteed that all bus number tasks are executed, the bus operation efficiency is improved, and the workload of bus service personnel is balanced.

The invention relates to the technical field of pension service, and discloses a smart nursing home optimization auxiliary service system, which comprises a high-dimensional situation sensing module, which is used for collecting multi-modal biological and environmental signals in real time through an integrated sensor array; the professional cognitive reconstruction module is used for deducing a cognitive path sequence and a decision intention; the service behavior generation module is used for reversely deriving a complete language expression sequence and a limb behavior sequence required by the old-age care service; the dynamic calibration module is used for comparing the actual situation change with the service system expectation in real time; the body memory module is used for constructing body memory experience for immersive backtracking of service personnel; and the cognitive sharing module is used for anonymously extracting the situational cognitive fingerprints. According to the invention, the service instruction is transmitted to the service personnel without perception through the cross-sensory customized instruction transmission unit, the standardization and accurate control of the service behavior are realized, dynamic adjustment is carried out according to the actual situation change, and the real-time adaptability of the service process is ensured.

The invention discloses a test question generation method based on category skill dimensions. The test question generation method comprises the steps of calculating subjective weights and objective weights of multiple skill dimensions; determining a comprehensive weight of the plurality of skill dimensions according to the subjective weight and the objective weight; calculating the matching priority of the scene template test questions; screening a preset number of initial test questions to obtain an initial test question set of multiple skill dimensions; a coverage degree verification step; supplementing the initial test question set according to the test question coverage and the matching priority; and performing test question duplicate removal according to the similarity of the test questions in the supplemented initial test question set to obtain a target test question set. According to the method and the system, test question matching is performed on examination of entering personnel through skills of multiple dimensions in combination with the static dimension and the dynamic dimension, so that the comprehensiveness and scientificity of an evaluation result are improved, skill evaluation is more stereoscopic and objective, and the actual working efficiency of service personnel can be reflected more truly. The invention further discloses a system for implementing the method, electronic equipment and a storage medium.

The invention discloses a legal service management system and a service method, and relates to the technical field of legal services. Comprising an account module, a query module, a distribution module, a calibration module and a storage module which are connected in sequence, and the account module is used for a help seeker or a legal service person to register an account, set a password and log in a working interface; the query module is used for querying legal help information and a case corresponding to the help information, and determining a user request and a corresponding project service; the distribution module is used for distributing corresponding legal service personnel according to the project service determined by the user request; the calibration module is used for generating corresponding identification codes for legal service personnel and adding corresponding identification codes for legal personnel catching cases; and the storage module is used for storing the identification code into the server. The legal service efficiency can be improved, the traceability of the service quality can be guaranteed, and the resource allocation is optimal.

The utility model discloses a movable partition wall of adjustable distance, including slide rail, partition wall, the partition wall top is provided with mobile subassembly, the partition wall one side is provided with the delivery port, is fixedly connected with the partition piece on the delivery port, partition piece both sides all are provided with the baffle, is located partition piece both sides and is provided with the connecting assembly on the delivery port, partition piece top both sides all are provided with first sliding slot, baffle one side both ends all are provided with second sliding slot, the second sliding slot is slidably connected with the sliding block, sliding block one side is fixedly connected with the delivery board. In the utility model, through the design of delivery port, baffle and delivery board, service personnel can send dishes and wine to the other side of the partition wall without frequently going in and out, thereby avoiding the interference caused to the guests in the partition room due to the frequent going in and out of the service personnel.

The application discloses a railway key passenger service method, which comprises the following steps: a pre-marking step, in which a train service personnel binds and marks seat information of a key passenger with a railway smooth code by using a station-car interaction terminal device, and synchronizes the railway smooth code to a background of a railway smooth code service system; a key passenger service reservation step, in which the key passenger identifies the railway smooth code arranged on a car seat by using a terminal device, activates and opens the railway smooth code service system, and fills in and submits a key passenger service application online by using the smooth code service system; and a key passenger service application acceptance step, in which the background of the smooth code service system pushes the key passenger service application to the station-car interaction terminal device, the station-car interaction terminal device sends a key passenger service acceptance notification, and the service demand of the key passenger is realized. The application further provides a railway key passenger service system.

The present application relates to a speech recognition method, apparatus, computer device, computer-readable storage medium, and computer program product. The method comprises: inputting multiple candidate segmentations of an initial recognition text corresponding to a speech to be recognized into a first model for recognition, obtaining multiple target segmentations corresponding to the multiple candidate segmentations; arranging the multiple target segmentations and the initial segmentations to obtain multiple intermediate texts; inputting the multiple intermediate texts into a second model to obtain logical scores corresponding to the multiple intermediate texts; and determining the target recognition text of the speech to be recognized based on the logical scores corresponding to the multiple intermediate texts. The speech recognition method provided in the present application can improve the recognition accuracy of speech in financial institutions, thereby improving the quality inspection effect of financial institutions on the service quality of customer service personnel.

The utility model relates to the field of consultation desks, in particular to an enterprise management consultation desk which comprises a workbench, a supporting assembly, a partition plate and a seat, the workbench is horizontally placed, and a controller is installed on the workbench; the supporting assemblies are fixedly installed at the bottom end of the workbench at equal intervals, each supporting assembly comprises a base and a vertical plate, and the two ends of each vertical plate are fixedly connected with the bottom end of the workbench and the top end of the corresponding base correspondingly; the front end and the rear end of the partition plate are fixedly connected with the two adjacent vertical plates respectively, the left side and the right side of the partition plate are a service personnel area and a consulting personnel area respectively, an electromagnet is fixedly installed at the end, facing the consulting personnel area, of the partition plate, and the electromagnet is electrically connected with the controller; and the seat is placed in a consultant area, an auxiliary iron block is fixedly installed at the end, facing the electrified magnet, of the seat, and pulleys are installed at the bottom end of the seat. The chair has the effects that the chair can be conveniently placed, and the corporate image is improved.