61results about How to "Improve service capabilities" patented technology

The invention relates to the technical field of artificial intelligence, in particular to a charging pile construction planning method and system based on artificial intelligence. The method comprises the following steps: acquiring existing power infrastructure data and multi-source heterogeneous data, wherein the multi-source heterogeneous data comprises traffic data, geographic data, vehicle data and charging behavior data; performing time sequence feature extraction on the multi-source heterogeneous data, and performing cross-time scale fusion on different data source features by using a preset hierarchical attention network model to obtain factor weight data; and constructing a long-term charging demand prediction model through a sequence-to-sequence model according to the factor weight data and the multi-source heterogeneous data. According to the site selection method based on the risk minimum set coverage problem, initial site selection scheme data is generated by combining multi-objective optimization of the coverage rate, the service radius and the accessibility, and more scientific charging pile layout is achieved.

The invention discloses a customer service response evaluation method and system based on a large language model, and relates to the technical field of customer service responsiveness, and the method comprises the steps: obtaining customer service dialogue data, carrying out the emotion score assignment through an emotion dictionary and an emotion label library, and obtaining a customer service emotion text; obtaining a plurality of groups of different emotion threshold combinations, and layering the customer service emotion text to obtain the emotion level of the customer; acquiring emotion matching data and customer emotion change data; constructing an emotion threshold evaluation model based on machine learning; constructing an effect display model, carrying out data analysis on the effect display model to obtain an optimized emotion threshold combination, and applying the optimized emotion threshold combination to customer service response evaluation; according to the method and the device, the problem that the customer satisfaction and the service quality are finally influenced due to inaccurate analysis result and unstable service effect caused by experience-based setting of a sentiment analysis threshold value is solved.

The invention relates to a method for assisting ground user communication by a multi-antenna unmanned aerial vehicle, belongs to the field of unmanned aerial vehicle assisted communication, and solves the limitation of a single-antenna unmanned aerial vehicle in the aspects of signal concentration and directional transmission. Comprising the following steps: constructing a multi-antenna unmanned aerial vehicle assisted multi-ground user communication system, and calculating a steering vector from an unmanned aerial vehicle to each ground user; calculating a channel gain from the unmanned aerial vehicle to each ground user based on the steering vector; calculating a communication rate between the unmanned aerial vehicle and each ground user based on the channel gain; constructing an unmanned aerial vehicle assisted ground user communication optimization model which takes maximization of the average communication rate between the unmanned aerial vehicle and multiple ground users as an optimization objective function and meets user scheduling constraints, unmanned aerial vehicle communication performance constraints, unmanned aerial vehicle transmitting power constraints and unmanned aerial vehicle flight trajectory constraints; and solving the unmanned aerial vehicle assisted ground user communication optimization model to obtain an optimal communication solution of the unmanned aerial vehicle and the multiple ground users. And the signal can accurately reach the ground user.

The invention relates to an insurance industry-oriented customer full-life-cycle event data modeling method and system. The method comprises the steps of collecting customer full-life-cycle event data through a customer contact channel and a business processing link of an insurance industry; preprocessing the collected data, and converting the data into structured data; key elements are extracted from the preprocessed structured detail data; performing hierarchical and classified storage on the structured data based on a hierarchical and classified event data model, and respectively establishing a trunk index model and an expansion detail model in combination with the key elements; generating a unique event ID (Identity) for each event from the key elements; and performing data query optimization and providing data service based on the trunk index model, the expansion detail model and the event ID. Compared with the prior art, the method has the advantages that massive customer event data can be efficiently integrated and analyzed, the data processing and query capability is improved, more efficient and flexible data services are provided, and decision support is provided for the insurance industry.

The invention discloses a device and a method for adaptively adapting a cloud platform to a domestic AI accelerator card, belongs to the technical field of cloud computing and artificial intelligence, and aims to solve the technical problems of how to realize rapid integration and deployment of the domestic AI accelerator card by the cloud platform, improve the flexibility and expandability of the cloud platform and further better meet diversified AI computing requirements. According to the technical scheme, the device comprises a script tool set, a resource management module, an adaptation task management module, a data storage module and an adaptation analysis module; wherein the script tool set integrates a CPU and a script tool for identifying, sensing, driving and monitoring physical machine accessories of a domestic AI acceleration card, and is used for automatically realizing hardware identification, driving installation and hardware state monitoring functions according to the characteristics of hardware; and the resource management module is used for realizing platform access of the AI server and management of the domestic AI acceleration card, and monitoring states and loads of the nodes and the AI acceleration card in real time.

The invention discloses a data processing method and device applied to a high-concurrency scene and electronic equipment, and the method comprises the steps: responding to a received data obtaining request, if configuration type data is obtained, obtaining target configuration type data corresponding to the data obtaining request based on a first data obtaining mode, the first data acquisition mode represents that the configuration data is acquired according to the access sequence of the local cache, the memory database and the relational database. If the service class data is acquired, target service class data corresponding to the data acquisition request is acquired based on a second data acquisition mode, and the second data acquisition mode represents that the service class data is acquired according to the access sequence of the slave database and the master database. According to the method, the configuration type data is applied through the local cache and the memory database, and the business type data is read through the master-slave database, so that the reading pressure of the database is reduced, the transaction response speed is improved, and the system service capability in a high-concurrency scene is further improved.

The invention discloses a correction type technique supervision and analysis system, and the key points of the technical scheme are that the system comprises the following steps: data collection and preprocessing, mode recognition and modeling, anomaly detection and evaluation, correction and feedback mechanism, personalized recommendation and service optimization, and visualization and reporting. Comprehensive optimization and fine management of the whole massage service process can be realized through the modified form manipulation supervision and analysis system, and the system identifies and predicts customer demands and potential abnormal conditions by utilizing an intelligent algorithm through accurately collecting and processing physiological and psychological data and massage manipulation information of customers. Improper techniques or risk behaviors are found and corrected in time, a personalized recommendation mechanism automatically adjusts a massage scheme according to health conditions and preferences of customers, and through a clear visual interface and a real-time report, the service quality and customer satisfaction are improved, and intelligentization, personalization and high efficiency of massage services are achieved.

The application relates to a user service method and device based on a control plane, a computer device and a storage medium, and relates to the technical field of networks. The method is executed by a backup control plane and comprises the following steps: receiving a digest table sent by a master control plane; the digest table contains user digest information of a target user; the target user is a user accessing the master control plane; performing pre-occupation processing based on the digest table to determine pre-occupation resources of the target user; and in the case of an exception of the master control plane, switching the target user to the backup control plane to provide services for the target user based on the pre-occupation resources. Through the above method, in the control plane switching process, since pre-occupation has been performed on the backup control plane side, address conflicts do not occur, and since the information amount of the digest table is relatively small, black barrier periods are not prone to occur, so that the user side is not aware of the control plane switching, normal business is ensured, and service effect is improved.

The invention discloses a vertical laser and receiver positive pressure sealing cavity structure, and relates to the technical field of optical laser and receiver protection cavity structures needing positive pressure sealing. According to the invention, a positive pressure sealing cavity comprising a laser and a receiver is adopted, and the window glass and the flange are integrated by adopting a high-temperature sintering process, so that excellent sealing performance is ensured. And a real-time temperature monitoring and heating system is designed and integrated, so that the influence of window atomization on laser signal receiving is prevented, the heat dissipation effect is enhanced, an air inlet system is simplified, and the overall stability and the use efficiency of equipment are improved. Compared with the prior art, the LED lamp has obvious advantages in sealing performance, heat dissipation performance and maintenance convenience.

The embodiment of the invention discloses an internet-based photographic studio photo online refinement system, and belongs to the technical field of photographic platforms, and the system comprises an operation display module which enables a user to carry out multiple times of rough refinement processing on a photo, a refiner carries out multiple times of refinement processing on the photo according to a rough refinement processing result, and finally a refinement photo is obtained. The terminal service module stores an initial photo shot by a photographer, a plurality of rough retouching image processing results, a plurality of fine retouching image processing results and a final fine retouching photo, the embodiment of the invention can enable a user to meet own requirements for each fine retouching step, and the finally obtained fine retouching photo can meet the requirements of the user in each detail, so that the user experience is improved, and the user experience is improved. The service effect of user studio shooting is improved, the situation that refinement service after shooting is not full due to different requirements of different users is avoided, the evaluation of the user on the studio is improved, and the economic income of the studio is increased.

The invention discloses a knowledge index and text generation control method and system for retrieval enhancement generation. The method relates to the technical field of retrieval enhancement generation and comprises the following steps of knowledge index accuracy evaluation, index accuracy intelligent regulation and control, text generation timeliness evaluation and generation timeliness intelligent regulation and control. According to the method, the knowledge index accuracy is evaluated based on the index accurate parameters, and if the knowledge index does not reach the standard, the semantic relevance and the result effectiveness are regulated and optimized in a self-adaptive mode through the window width and the effective proportion. And then, evaluating the text generation timeliness based on generation timeliness parameters, if the text generation timeliness does not reach the standard, dynamically managing dialogue memory and load by updating a rate threshold value and performing adaptive regulation and control of a response period, preferentially guaranteeing the response speed and continuity, and finally performing a text generation verification link. The control timeliness of the knowledge index generated by retrieval enhancement and the text generation is improved, and the problem that the control timeliness of the knowledge index generated by retrieval enhancement and the text generation is low in the prior art is solved.

The invention discloses a charging pile control method and device and a charging pile, and belongs to the field of new energy charging piles, and the charging pile control method and device comprises the steps that charging demand information of multiple to-be-charged vehicles connected with multiple charging guns is acquired, and the charging demand information at least comprises the battery charge state, the battery capacity and the charging duration preset by a user; according to the charging demand information, the charging priority and the demand power of each vehicle are calculated; generating a power distribution strategy according to the charging priority and the required power, and dynamically distributing a plurality of power modules in the charging pile to a plurality of charging guns; controlling the on-off state of the power distribution matrix according to a power distribution strategy so as to establish electric connection between the power supply module and the charging gun; in the charging process, the actual charging power and the battery state of each vehicle are monitored in real time, the on-off state of the power distribution matrix is dynamically adjusted according to the monitoring result, the power modules are redistributed, and the charging efficiency is maximized on the premise that the requirement for charging multiple vehicles at the same time is met.

The invention discloses a digital twin service equipment management and control method and device, and solves the problems that the service equipment in a traffic scene runs for a long time, so that the service life is shortened, the energy consumption is large, and the cost control is not facilitated. The invention discloses a digital twin service equipment management and control method. The method comprises the following steps: acquiring current sensing information of a target vehicle; displaying a twin picture of the traffic scene; the twinborn picture comprises a twinborn object of the target vehicle and a twinborn object of service equipment; the current sensing information of the target vehicle comprises vehicle position information; obtaining the range of the service area, and controlling the working state of the service equipment in the range; and in the twinborn picture, updating the twinborn object of the service equipment, and displaying the current working state or the current operation effect of the service equipment. On the basis of all views in one picture, service equipment evaluation and adjustment can be carried out visually and conveniently, and the service capability is improved.

The invention relates to the technical field of medical training, in particular to an intravenous infusion treatment management training method and system based on a patient safety target. Presetting an evaluation time point, and carrying out capability evaluation on the nursing personnel based on a plurality of preset evaluation indexes; performing statistical analysis on an evaluation result of the evaluation index to obtain a first score corresponding to the evaluation index; setting a first weight for the evaluation index, and multiplying the first score by the first weight to obtain a first result; calculating a capability assessment score of the nursing personnel according to all the first results; dividing a plurality of ability grades based on the ability evaluation score, and determining a to-be-trained person according to the ability grades; determining training content based on the evaluation indexes of the to-be-trained personnel; acquiring a skill brief introduction of a nursing lecturer; matching the training content with the skill brief introduction, and determining a current training lecturer; a training time point is preset, and the current training lecturer trains the to-be-trained person based on the training content. The post competency of nursing personnel is rapidly improved, and the safety of patients is guaranteed.

The invention provides a travel service providing method and device, a mobile terminal, a storage medium and a product, and belongs to the technical field of Internet. The method comprises the following steps: acquiring multiple pieces of travel interaction data of a mobile terminal; based on the multiple pieces of travel interaction data, multiple first travel tracks of the user are determined; fusing a plurality of resident sites included in the plurality of first travel trajectories to obtain a plurality of second travel trajectories, the second travel trajectories including a plurality of travel traffic sites and arrival time and departure time corresponding to the plurality of travel traffic sites; clustering the arrival time and the departure time corresponding to the plurality of travel traffic stations in the plurality of second travel tracks to obtain label information of the plurality of travel traffic stations, and storing the label information of the plurality of travel traffic stations; and when it is detected that the user travels, providing travel service for the user based on the stored label information of the plurality of travel traffic stations. The service effect can be improved.

The application discloses an edge device deployment method and system for service-oriented manufacturing remote operation and maintenance service, and the method comprises the following steps: acquiring the data amount processed by a center server within a predetermined time; acquiring a plurality of customers to which the data amount respectively belongs, and obtaining the geographical area to which each customer belongs according to the network protocol address of each customer in the plurality of customers; acquiring the geographical area covering the most customers, and setting an edge server in the geographical area, wherein the edge server is used for acquiring data from the center server and providing data service to the customers in the geographical area; and configuring an operation and maintenance server in the area where the edge server is located, wherein the operation and maintenance server is used for providing operation and maintenance service for the edge server. Through the application, the problem that the pressure of the center server for providing service in the service-oriented manufacturing is increased and the service provided by the server is affected in the prior art is solved, so that the ability of providing service for customers is improved by adding the edge server.

The invention relates to the technical field of communication services, and particularly discloses a cloud native architecture service concurrency performance optimization method and device, equipment and a medium, and the method comprises the steps: determining a to-be-optimized combined scene service under a cloud native architecture; and performing service thread resource reuse, service-level thread concurrent processing and data interaction frequency reduction processing on the to-be-optimized combined scene service to realize service concurrent performance optimization of the to-be-optimized combined scene service. According to the method, the communication efficiency of the microservice architecture complex scene service can be improved, so that the fusing of a microservice system triggered by a single service is reduced as far as possible, and high-availability, high-availability and high-concurrency service capabilities are continuously provided for a terminal user; the problem of an internet-based scene-based business fusion development mode is solved, and the concurrency response efficiency of cloud native architecture services is improved.

The invention discloses a method for evaluating the seaworthiness performance of a rigid overlay composite pavement structure in a cold region. The method comprises the following steps: collecting soil matrix moisture content; the thickness of an original pavement panel is corrected; calculating a soil matrix reaction modulus; determining a standard model; correcting the aircraft load; calculating the vertical deformation of the pavement slab; detecting the actual deformation amount; calculating a pavement fatigue coefficient; judging a fatigue failure state; calculating shear deformation; calculating an interlayer combination coefficient; and outputting a pavement fatigue coefficient, an interlayer combination coefficient and a cold region airport runway airworthiness performance report of the cold region airport. According to the method, the characteristics of the airport in the cold region and the characteristics of the composite pavement can be considered, and the airworthiness of the runway is represented by the deformation in a mode of combining theoretical calculation and actual detection. In addition, the method can also provide a cold region airport runway seaworthiness performance report for related personnel, which not only helps to improve the safety and service ability of the cold region airport, but also can provide data support for pavement design and maintenance.

The application discloses a communication address resolution service updating method and device, equipment, medium and product, and the method comprises the following steps: in response to a communication address resolution request of a user, a first resolution interface of a self-built communication address resolution service is called to process, so that a first resolution result obtained after an application neural network model is obtained is acquired, the model is used for determining a standard address text of an input address text in the request from a standard database; when the first resolution result indicates that the resolution fails, a second resolution interface of a third-party communication address resolution service is called to process, so that a second resolution result is acquired; when any resolution result contains a standard address text and resolution information thereof, the standard address text is stored in the standard database; in response to a timing task triggering event, part of the standard address texts recalled from the standard database according to given address samples are respectively combined with the address samples to form positive samples, and the model is trained. The application can provide efficient and accurate communication address resolution services for e-commerce platforms at a relatively low cost.

The invention provides a question and answer information generation method and device, computer equipment and a readable storage medium, and the method comprises the steps: obtaining question information to be answered, the question information at least comprising first image information; performing image processing on the first image information to obtain second image information corresponding to the first image information; the resolution of the second image information is lower than that of the first image information; inputting the first image information to a pre-trained first encoder, and obtaining feature map information corresponding to the first image information; inputting the second image information into a pre-trained second encoder, and obtaining visual embedding information corresponding to the second image information; querying in the feature map information according to the visual embedding information so as to obtain related information corresponding to the visual embedding information in the feature map information based on a self-attention mechanism; and answer information corresponding to the question information is generated according to the related information, and the question information is answered.

The present application relates to the technical field of Internet of Vehicles communication and calculation, in particular to a remote area Internet of Vehicles task offloading method and device based on high altitude platform assistance, which comprises the following steps: constructing a vehicle connection judgment model based on a high altitude platform and an edge server, obtaining the position of a vehicle, judging whether the vehicle is connected to the edge server or the high altitude platform or whether the vehicle is not connected to the edge server or the high altitude platform; constructing a communication model, a time delay model and an energy consumption model, calculating the offloading transmission rate, the total time delay of the task and the total energy consumption of the task according to the communication model, the time delay model and the energy consumption model and the connection judgment result; constructing an optimization objective function according to the time delay model and the energy consumption model; modeling the task offloading problem as a Markov decision process and training it by using a MAPPO algorithm to output a task offloading strategy, thereby providing a solution to the problem of limited task offloading and high time delay of the remote area Internet of Vehicles.

The invention requests to protect an internet system and method of an ISO (International Standardization Organization) Proxy based on an OID (Object Identifier), which is operated on other networks which can be interconnected in the future including a traditional IP (Internet Protocol) internet and is based on the ISO Proxy internet of the OID, is mainly used in the technical field of data identification and linking, and comprises an OID management and distribution module, a data processing module, a data processing module and a data processing module, the OID generation module is used for generating an OID of the intelligent conjoined body so as to ensure the uniqueness in the Internet; and the intellectual conjunct engine decomposition and recombination module is used for realizing dynamic decomposition and recombination of the intellectual conjunct PNE engine so as to form sub-brains which are reconstructed according to requirements. According to the invention, the object identification (OID) coding mechanism of the international standardization organization (ISO) is applied to the identification and management of the intelligent conjunct (digital agents of people, machines and objects) for the first time, a global unified, easy-to-identify and traceable intelligent conjunct internet is constructed, and the problems of identity authentication and interconnection of the intelligent conjunct in a large-scale network environment are solved.

The present invention discloses a waste foam CA mortar grouting material and its preparation method and application, belonging to the technical field of road maintenance and reinforcement materials. The grouting material comprises, by mass, 250 to 300 parts of cationic emulsified asphalt, 300 to 400 parts of cement, 200 to 800 parts of fine sand, 1 to 3 parts of waste foam particles, 180 to 220 parts of water, 3 to 5 parts of water reducer, 0.5 to 1 part of defoamer, and 5 to 10 parts of low thermal conductivity material with a thermal conductivity of 0.01 to 0.07 W / (m·K). The raw materials for preparing the grouting material of the present invention include waste foam particles, which realizes the green application of bulk solid waste materials in road maintenance projects and reduces environmental pressure. The grouting material prepared by the present invention has the characteristics of good fluidity, light weight, low thermal conductivity, high strength, etc., and can be widely used in special engineering parts that need to reduce dead weight, reduce heat transfer, and have sufficient strength and rigidity.

The invention discloses an artificial intelligence system and method applied to smart park services, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the call based on an intelligent agent of a large language model through a tool library, automatically recognizing the operation intention and related parameters of a user, and carrying out the operation of the user; the body agent continuously learns updated sample data, and the large language model agent is allowed to be executed according to a new instruction inserted by a user intention or an instruction before interruption during the action execution period of the robot through a priority scheduling algorithm; according to the method and the system, seamless connection between the physical world and the digital world is achieved, a sensing-decision-execution closed loop is achieved, the system comprises a multi-mode input module, a robot body, an intention understanding and decision-making module, an action planning and execution module and an Internet of Things (IoT) interface function, and the environment sensing ability of the robot and the intention understanding ability of a user are improved through the method and the system.

This invention relates to the field of data retrieval technology, specifically disclosing a database-based method for rapid retrieval of skills learning data, comprising the following steps: S1: Preset a retrieval period, statistically analyze the types, occurrences, and frequencies of retrieval fields within the period, and stop if the threshold is not met; S2: Construct binary retrieval field combinations, calculate the frequency and correlation coefficient of each combination field; S3: Single-field retrieval matches initial courses, calculates popularity based on the number of enrollees and collections, and sorts them; S4: Divide primary and secondary fields to correct popularity, sort and filter popular courses, and establish a connection between combinations and courses; S5: Prioritize displaying related popular courses, continuously update the period, and repeat the process after decomposing multi-field combinations. This method can improve retrieval accuracy and efficiency, ensure course timeliness and recommendation quality, adapt to the needs of skills training platforms, optimize resource allocation, and enhance the platform's core competitiveness.

The invention discloses a traffic panorama operation and maintenance management and control method, and the method comprises the steps: displaying a twinborn image of a traffic scene, the twinborn image comprising twinborn objects of a road and frames displayed in parallel; acquiring a video image of a road site, wherein the video image is acquired through a sensing system arranged on a road; and determining the position of a picture frame for displaying the video image according to the acquisition position of the video image. The invention further comprises a device for implementing the method. According to the technical scheme, the technical problems that in the traffic operation and maintenance process in the prior art, the digital twinborn visual data processing efficiency is low, road equipment is inconvenient to manage and control in time, and the service effect of the road equipment is inconvenient to evaluate are solved, the twinborn data processing efficiency and the visual processing efficiency are improved, and the service capacity is improved.

The invention belongs to the technical field of wireless communication, and particularly relates to an unmanned aerial vehicle base station position and sub-band allocation joint optimization method, which comprises the following steps of: firstly, determining an adjustment item executed in a time step; and for sub-band allocation, initializing sub-band allocation parameters, constructing an interference relation graph, circularly adjusting the band selection probability of the unmanned aerial vehicle base station until convergence or reaching a preset cycle index, and obtaining an optimized allocation scheme. For base station position adjustment, uniformly dividing a scene into a plurality of square grids, and constructing a Markov decision process for unmanned aerial vehicle base station position adjustment; and obtaining the state of each unmanned aerial vehicle base station and inputting the state into a self intelligent agent to obtain a position adjustment result. Compared with the existing method, the method disclosed by the invention has the advantages that position adjustment and sub-band allocation can be jointly optimized, multiple factors of transmission rate, user coverage and base station energy consumption can be fully considered, and the method is suitable for a high-dynamic scene, does not depend on accurate user coordinates and can effectively improve the network service performance.

Provided in the present invention is a method performed by user equipment (UE), including: receiving first indication information and second indication information, the first indication information representing a synchronization signal block (SSB) sequence number of an SSB actually transmitted in a network, and the second indication information representing a sequence and indication bits related to a plurality of channel state information reference signal (CSI-RS) configuration groups; and determining, according to the first indication information and the second indication information, the correspondence between a CSI-RS signal corresponding to each one of the plurality of CSI-RS configuration groups and the SSB sequence number of the SSB actually transmitted in the network.

The present application relates to the technical field of wisdom fire and building engineering digital supervision, in particular to a fire inspection and verification process optimization system based on knowledge graph and AI diagnosis, comprising: a data receiving step: obtaining basic attributes such as building age, height and purpose; a theoretical graph generation step: constructing a theoretical compliance graph based on attribute filtering regulation meta-graph; a fact graph construction step: converting structured Internet of Things sensor data stream and unstructured field image data to generate field fact graph; a difference quantization diagnosis step: comparing graph differences and calculating compliance deviation; a decision closed-loop feedback step: outputting compliance signal or rectification path data packet according to deviation; the present application greatly improves the applicability of the fire inspection and verification system in urban renewal and stock building reconstruction projects.

The utility model relates to the technical field of battery replacement, in particular to a battery transfer device and a battery replacement station. The battery transfer device aims at solving the problem that an existing battery transfer device is poor in compatibility. In order to achieve the purpose, the battery transfer device comprises a main body frame, a lifting part, a first telescopic pallet fork, a second telescopic pallet fork, a first adjusting mechanism and a second adjusting mechanism, the lifting part is arranged on the main body frame in a liftable mode, and the first telescopic pallet fork and the second telescopic pallet fork are arranged on the lifting part; the first adjusting mechanism is arranged on the lifting part and connected with the first telescopic pallet fork and can drive the first telescopic pallet fork to move in the direction close to or away from the second telescopic pallet fork. The second adjusting mechanism is arranged on the lifting part and connected with the second telescopic pallet fork and can drive the second telescopic pallet fork to move in the direction close to or away from the first telescopic pallet fork. The battery transfer device can adapt to batteries of different specifications, the compatibility of the battery transfer device is improved, and the service capacity of a battery swap station is improved.