346 results about "Terminal operation" patented technology

The invention provides a feeder terminal fault detection method, system and device, a medium and a program product, and the method comprises the steps: obtaining multi-source heterogeneous data comprising feeder terminal operation data, a topological graph structure of a power distribution network and external sensing data, the multi-source heterogeneous data comprises at least one kind of structured or unstructured time sequence data, and the external sensing data comprises at least one kind of structured or unstructured time sequence data; the external sensing data comprises meteorological data, geographic space information and historical fault records; and preprocessing the multi-source heterogeneous data, inputting the preprocessed time-aligned multi-source heterogeneous data into the trained time-space diagram neural network model to extract features and perform joint modeling, and outputting a fault type classification result and a fault probability distribution result corresponding to each feeder terminal node in the power distribution network. According to the method, a multi-source heterogeneous data fusion and time-space diagram neural network modeling mechanism is introduced, so that the model has a dynamic response capability to complex environment changes, and the identification precision of a potential fault mode is effectively enhanced.

The invention belongs to the technical field of power resource optimization, and particularly relates to a power supply station service architecture optimization method based on digital power grid construction achievements, which comprises the following steps: investigating power supply station service requirements, constructing a power supply station service architecture, and determining a power supply station application architecture; an intelligent Internet of Things terminal operation system based on an electric power gap base and a platformization solution are introduced into the application architecture, and a platformization and perception fused service operation system is constructed; core technologies such as an AI large model, a high-perception terminal, a security authentication mechanism and a 5G slicing network are introduced into asset management, production management, resource management and technical management, and an integrated service execution system with intelligent perception, efficient cooperation, security, credibility and standardized operation is constructed. According to the invention, the problems of scattered architecture, slow response, weak cooperative capability and the like in a traditional power grid system are solved, and reliable support and a technical path are provided for efficient, safe and intelligent development of a power grid.

The invention provides a container shipping stowage method and system based on a multi-stage optimization algorithm, is applied to the technical field of operational research and port logistics, and decomposes a complex stowage process into a plurality of optimization stages based on a four-stage mixed integer programming method. The method comprises the following steps: firstly splicing 20-foot boxes into 40-foot equivalent boxes, quickly locking a shipping space by taking the minimum box area-ship-shellfish connection number and weight deviation as targets, then eliminating vertical overweight and transverse unbalance layer by layer, and finally finely adjusting the shipping space through local neighborhood search, thereby reducing the box turnover rate and improving the dispatching efficiency. Therefore, higher efficiency, lower conflict rate and better process matching degree of container space distribution are realized, the adaptability and efficiency of actual wharf operation are remarkably improved while the safety of a ship structure is guaranteed, and intelligent, systematized and efficient development of a port operation system is promoted.

A method by which a first device performs wireless communication, and a device for supporting same are provided. The method may comprise the steps of: acquiring a configuration related to inter-UE coordination (IUC) information reporting; initiating an IUC report timer on the basis that the IUC information reporting is triggered; performing listen before talk (LBT); and stopping the IUC report timer on the basis of (i) the generation of an IUC information medium access control (MAC) control element (CE), and on the basis of (ii) the success of the LBT.

The invention discloses an electronic ticket ordering and payment application system based on a block chain, relates to the technical field of block chains, and is used for ticket business whole-process digital management, and a user interaction module supports multi-terminal operation and information management; the block chain order management module is responsible for order chaining and state updating; the multi-mode payment module supports double-track payment and encrypted transmission; the comprehensive matching module is linked with the block chain order management module and comprises a meal subsystem, a tourism subsystem, a hotel reservation subsystem and the like, and the passenger ticket verification module realizes multi-mode verification; the data storage module stores key data; and the intelligent contract scheduling module automatically executes the pre-deployed contract. The problems that an existing system is poor in data safety, low in efficiency and insufficient in adaptability are solved, ticket transaction safety and process automation are improved, data synchronization is guaranteed, multiple languages and multiple currencies are supported, user privacy is protected, multiple scenes are adapted, and travel and supervision requirements are met.

The invention relates to the technical field of form construction, in particular to a form construction method and system based on dragging operation and a storage medium. The method comprises the following steps: identifying a target form dragged by a mouse of a user, and performing form content structure deep analysis to obtain a form information structure identification result; obtaining a user historical form operation data set to perform operation behavior semantic mining, and performing historical page layout behavior clustering analysis on a form information structure identification result to obtain form layout preference features; performing layout demand prediction according to the form layout preference features, and performing feasibility evaluation to obtain an accurate layout demand prediction result; and identifying an affiliation page to which the user drags the target form, performing spatial layout constraint analysis, and performing available space size evaluation, thereby obtaining the available space of the current page. According to the method, efficient and convenient form self-adaptive construction is realized, the user development efficiency is improved, and multi-terminal operation is adapted.

The invention discloses a data encryption method applicable to open source gap terminal equipment, which comprises the following steps of: firstly, establishing communication connection based on a gap distributed soft bus technology, and generating a trust relationship through identity identification authentication; during data transmission, a national cryptographic algorithm, a symmetric or asymmetric encryption algorithm, a hybrid encryption algorithm and the like are dynamically selected according to data types, importance, transmission scenes and equipment performance. After being encrypted, the data are transmitted to the target device through the soft bus, and the target device decrypts and verifies the data. And the terminal equipment is integrated with the hardware security module to realize hardware encryption and key storage. Security module adaptation development is carried out based on an HDF library, and one-time development and multi-terminal operation are achieved. In the encryption process, a fragmentation encryption strategy can be adopted, multiple devices can perform collaborative encryption and decryption, and the encryption efficiency is improved by defining the task priority and sequence and utilizing a distributed task scheduling mechanism and reasonably allocating resources.

The invention belongs to the technical field of bulk cargo wharf operation and maintenance situation awareness, and relates to a bulk cargo wharf operation and maintenance situation awareness method and system. The residual life of the equipment is calculated through the residual life probability distribution of the equipment predicted by the constructed residual life probability distribution prediction model, and the failure rate of the equipment is predicted through the constructed situation awareness model according to the health degree index of the equipment and the residual life of the equipment, so that equipment alarm signals of different grades are obtained. An auxiliary management scheme is generated and executed according to the equipment alarm signal, the equipment user maintenance time is reasonably planned, and the equipment utilization rate and the field production efficiency are improved. Health state monitoring and operation and maintenance situation awareness of the bulk cargo wharf are achieved, the equipment utilization rate and the field production efficiency are improved, and the turnover rate and turnover efficiency of wharf cargos are improved.

The invention relates to the technical field of front-end development, in particular to a method and a system for generating a multi-end table data display page. Comprising a table definition module, a table rendering module, a data processing module, a function extension module and a state management module, the table definition module is used for finely defining the structure and behavior of a table, the table rendering module is used for converting the configured table definition into a multi-terminal adaptive visual interface and optimizing rendering performance and interactive experience, and the data processing module is used for efficiently processing table data and carrying out format conversion, cache management and paging loading. The function expansion module provides flexible function expansion capability and meets interaction requirements of complex business scenes, the state management module uniformly manages interaction states of tables and ensures consistency and persistence of multi-terminal operation, and by means of the mode, the problems that table components are limited in function, insufficient in performance and poor in expansibility are solved, and the user experience is improved. Therefore, the table component has good multi-terminal adaptation capability and can meet complex business requirements.

The invention discloses an intelligent key response method, a user terminal, a storage medium and a program product, and relates to the field of electric digital data processing.The method comprises the steps that based on first time sequence touch data obtained from a sample user and collected when a mouse device does not generate a displacement signal, a two-hand mistaken touch recognition model is obtained through training; based on second time sequence touch data acquired from the sample user and acquired during the period that the mouse device generates the displacement signal, training to obtain a single-hand mistaken touch recognition model; during the operation period of the user terminal, monitoring a target displacement signal of the mouse equipment; according to the target displacement signal, determining one of a two-hand mistaken touch recognition model and a single-hand mistaken touch recognition model as a current effective recognition model; inputting the real-time touch data into the current effective recognition model for calculation to obtain a key position effective score; and when the key position effective score is lower than a preset effective threshold value, preventing a corresponding error key pressing signal. By implementing the method and the device, the misjudgment detection accuracy on the high-sensitivity keyboard can be improved.

The invention discloses an industrial equipment monitoring system based on the Internet of Things, which comprises the following modules: a video monitoring deployment module, an anti-interference intelligent transmission sub-module, a multi-terminal collaborative scheduling module, an equipment intelligent diagnosis and prediction module, a user mobile control terminal module and a video monitoring display module. The problems that data transmission is prone to interference and packet loss delay in a complex industrial environment are solved through edge computing node preprocessing caching and self-adaptive frequency hopping interference resistance, real-time and accurate transmission of equipment state data is guaranteed, a reliable data foundation is built for monitoring management, meanwhile, instruction conflicts are avoided by means of a distributed lock, and the data transmission efficiency is improved. Terminal operation is responded in order in combination with priority scheduling, the multi-terminal access and interaction process is standardized, the multi-terminal cooperative monitoring efficiency is improved, different role terminals are made to cooperate efficiently, the monitoring management experience is optimized, the equipment data value is deeply mined by applying a machine learning algorithm, fault early warning is achieved, and the equipment fault shutdown loss is reduced.

The invention relates to the technical field of port automation, in particular to a bulk cargo wharf operation whole-process management and control system based on multi-dimensional parameter perception. Comprising a multi-source parameter acquisition unit; a multi-dimensional parameter adaptive fusion unit; a process node dynamic analysis unit; an intelligent decision and instruction generation unit; and a closed-loop control and verification unit. According to the invention, multi-dimensional data are comprehensively acquired through the multi-source parameter acquisition unit; meanwhile, based on an adaptive confidence model improved by Kalman filtering, a constraint credible time window is configured for various parameters, time dimension calibration is completed in combination with a time attenuation confidence weight and a working condition reliability factor, and precise fusion of multi-source heterogeneous data is achieved with assistance of physical constraint noise reduction and electromagnetic environment calibration; finally, the process node dynamic analysis unit completes multi-scene accurate adaptation by pre-storing standard process maps of various types of operation such as ship loading and unloading, train loading and unloading and automobile gathering and evacuation ports, and the defect that the whole service scene is not covered in the prior art is overcome.

The invention provides a cable terminal assembly and a cable terminal abnormal heating monitoring system, and relates to the technical field of power cables, and the method comprises the steps: collecting the operation data and environment auxiliary data of a conductor connection point, an insulating layer, a shielding layer and a grounding terminal in a preset monitoring period, and carrying out the time alignment processing, and obtaining the standardized multi-dimensional time series data. Time domain features are calculated, frequency domain features are extracted through fast Fourier transform, and the time domain features and the frequency domain features form single-dimensional time sequence features. Constructing a data association matrix, screening strong association data pairs according to Pearson's correlation coefficients and mutual information values, and calculating dynamic covariance by adopting a sliding window method to form cross-dimension association features. And splicing the two types of features and performing dimension reduction to obtain fusion feature vectors, splicing the fusion feature vectors of the current monitoring period and the previous monitoring period and the next monitoring period into a time sequence input sequence, and inputting the time sequence input sequence into an improved LSTM model to output an abnormal probability value, thereby realizing abnormal heating monitoring of the cable terminal.

The invention discloses an exit-entry license management system and method based on an intelligent terminal, and the system comprises a management platform which comprises a system client, a management background, a core database and a rule engine, and is used for achieving the closed-loop management of online application approval and offline terminal operation; the certificate management terminal equipment is used for reading the certificate key information and performing matching verification on the certificate key information and the employee identity information in the core database; the early warning equipment is used for sending an early warning prompt to a certificate holder and a manager based on a rule engine detection result; and the block chain equipment comprises an intelligent contract and an oracle machine, the oracle machine is used for encrypting the dynamic certificate data and then transmitting the encrypted dynamic certificate data to the block chain to trigger the intelligent contract, and the intelligent contract automatically executes early warning judgment on the dynamic data based on a built-in coding early warning rule and generates an on-chain early warning event. According to the system, the certificate management efficiency is improved.

The invention provides a wharf container truck scheduling method and device, and relates to the technical field of wharf operation, and the method comprises the steps: determining whether a container transported by a container truck needs to be subjected to lock operation or not according to the transportation task type of the container truck in combination with a ship stowage plan and / or a lock detection result; the method comprises the following steps: determining that a container truck does not need to pass through lock stations and directly arrives at a destination under the condition that a container does not need lock operation, determining a target lock station according to a queuing index of each lock station and wharf environment data under the condition that the container needs lock operation, and determining a queue index of each lock station according to a graph neural network model and a large language model. Determining candidate paths from the container truck to the destination through the target lock station and corresponding time nodes; determining a target path from the candidate paths according to a relationship between the time nodes corresponding to the candidate paths and a preset time window; and the target path and the corresponding time node are issued to the container truck and the target lock station, so that the wharf container truck scheduling efficiency is improved.

The invention provides a river-sea combined transportation wharf resource intelligent dynamic configuration method and system based on deep learning, and the method comprises the steps: firstly obtaining a wharf resource type, a ship arrival demand and a historical configuration result set, then capturing the time sequence correlation between the ship demand and resource use through a deep learning model, generating a resource demand feature sequence, and carrying out the recognition of the ship arrival demand. Generating multiple groups of resource configuration initial schemes according to resource types and feature sequences, pre-relieving potential conflicts through an interaction module, inputting the multiple groups of resource configuration initial schemes into an evaluation module, generating an evaluation result in combination with a historical configuration result, and adjusting the schemes according to the evaluation result to generate a resource configuration optimization scheme; and triggering a wharf resource allocation operation, recording an application result, and feeding back the application result to the model updating logic, thereby realizing efficient and intelligent dynamic configuration of the wharf resources, and improving the wharf operation efficiency.

The invention relates to a road and bridge engineering quality supervision method and system based on mobile internet multi-terminal cooperation. The method comprises the following steps: generating a space-time composite label by fusing engineering data collected by a mobile terminal, a Beidou time service signal, multi-source positioning information and BIM component characteristics; dynamic drift compensation is carried out on the digital twin model by utilizing the attenuation characteristic of the material, and position deviation caused by long-period construction is eliminated; intelligent arbitration of multi-terminal operation conflicts is realized based on space-time overlap analysis; generating a lightweight incremental data packet according to the change priority; and finally, synchronously generating a visual supervision interface fusing the BIM model, the quality anomaly annotation and the drift thermodynamic diagram at a mobile terminal, a PC terminal and a large screen terminal through a multi-resolution rendering engine. According to the invention, three core problems in the prior art that the positions of the model and the entity are mismatched, multi-terminal collaborative conflicts frequently occur and the visualization efficiency of heterogeneous equipment is low are solved, and the accuracy, the collaboration and the decision-making efficiency of road and bridge engineering quality supervision are remarkably improved.

The invention relates to the technical field of information security, and discloses a terminal clipboard sensitive information cross-application leakage real-time interception method, which comprises the following steps of: registering a clipboard access hook function in a kernel layer or a system framework layer of a terminal operating system, and capturing a clipboard reading operation in real time; comparing an application program identifier corresponding to the captured reading operation with an application program identifier of a clipboard owner, and judging whether the access is cross-application access or not; when the access is determined to be cross-application access, triggering a clipboard content scanning engine to perform sensitive information identification on texts, images and file paths in a clipboard; and obtaining an evaluation result based on a preset sensitive information rule base and the dynamic strategy engine. A clipboard access hook function is deployed in a kernel layer or a system framework layer, millisecond-level capture and blocking of cross-application clipboard reading operation are achieved, and traditional extensive management based on application permission declaration is upgraded to refined management and control based on content risk identification.

The invention relates to an AI-driven pan-screen operation method and device and electronic equipment. The method comprises the steps that an operation instruction input by an operator is received in response, the operation instruction is analyzed, an operation intention is recognized, and the operation instruction is an instruction based on a natural language; calling at least one AI service based on the operation intention to generate an operation sequence corresponding to the operation intention; and adaptively executing the operation sequence on at least one target terminal pan-screen service system to realize a cross-terminal operation task. According to the method and the device, the operation instruction is identified and the AI service is called, so that a cross-terminal operation task can be realized for a plurality of target terminal pan-screen service systems.

The invention discloses a power distribution terminal automatic test method and system based on a distribution network semantic knowledge graph. The method comprises the following steps: acquiring operation data of a power distribution terminal and reading of an environment sensor, performing entity alignment and relation mapping, and generating a multi-modal data set with semantic annotation; extracting association features of semantic entities by using a random forest algorithm in combination with semantic constraints, and constructing a semantic relationship matrix with weight attributes; determining the interference degree of the environmental factors to the entity association, and adjusting the elements of the relation matrix according to the interference degree; and generating a test scene behavior sequence in combination with topological constraints in the knowledge graph, performing fault point prediction by adopting a graph neural network algorithm, positioning a coordinate set based on a problem of probability labeling, identifying an uncovered interaction relation path, and generating a multi-dimensional test coverage evaluation report containing semantic description. According to the scheme, the cooperative work mechanism is evaluated from the system level, the accuracy of the test result in the actual operation environment is improved, and the test coverage range is increased.

The invention relates to the technical field of digital office, and particularly discloses a digital office platform. Authority generation logic of a dynamic authority control module is matched with an equipment characteristic parameter acquisition function of a multi-terminal access module; an operation chain construction function of the operation chain management module performs operation node screening by analyzing an operation range limit of a dynamic permission identifier; and a condition response relationship is established between a synchronous triggering mechanism of the data synchronization center and an operation chain structure integrity mark. According to the invention, a verifiable operation chain structure is constructed through a synergistic effect of equipment characteristic parameter acquisition of the multi-terminal access module and identification generation of the dynamic authority control module, and full-process tracing of cross-terminal operation is realized. The data synchronization center triggers differential synchronization based on the operation chain integrity mark, redundant data transmission is reduced, and illegal terminal access is prevented through the mapping relation between the device feature parameters and the permission identifier.

The invention discloses an electricity consumption information acquisition terminal transaction semantic monitoring and causal delimiting method, which comprises the following steps: acquiring an application protocol data unit by utilizing an eBPF probe, generating a cross-layer unique transaction fingerprint based on extracted sessions, objects, businesses and calling identifiers, and generating a transaction event record by utilizing a pairing state machine; constructing a transaction observation window containing front and back extensions by taking a transaction observation timestamp as a reference, and screening and aggregating kernel events associated with the transaction fingerprint to obtain a transaction evidence set; and constructing a directed evidence graph based on the set, and calculating the confidence coefficient of each root cause category by using a scoring rule and an index normalization algorithm. According to the invention, non-intrusive deep observation of power acquisition business affairs is realized, and the automation level and fault diagnosis precision of power terminal operation and maintenance are improved.

The invention relates to the technical field of flow control, in particular to an oxygen inhalation terminal flow balance control system which comprises a pressure distribution monitoring module, a flow regulation execution module, a terminal state judgment module, an instruction optimization adaptation module and an operation record acquisition module. According to the method, the pressure of multiple points in the oxygen supply pipeline is periodically collected, the change amplitude is analyzed, sensitive identification and state marking of flow abnormity are achieved, the accuracy and execution matching performance of flow adjustment are improved by combining the time point of equipment operation with time window matching of pressure fluctuation, and the flow adjustment accuracy is improved through a forward insertion rearrangement mechanism of a control instruction. According to the method and the system, priority issuing is guaranteed in a lagging scene, the adjustment response speed and the execution stability are enhanced, an adjustment process is recorded, accurate traceability and regulation and control quality evaluation of an oxygen supply terminal operation track are supported, and the regulation and control precision, the abnormity recognition capability and the overall controllability of system operation are effectively improved in a multi-terminal concurrent oxygen consumption scene.

The invention discloses a multi-terminal equipment state synchronization method and device, electronic equipment and a medium, and belongs to the technical field of terminal state synchronization. The method comprises the following steps: receiving a first operation instruction of a first terminal for target smart home equipment and a second operation instruction of a second terminal for the target smart home equipment; determining semantic types and context information corresponding to the first operation instruction and the second operation instruction; determining a target state corresponding to the target smart home device based on the semantic type and the context information; and synchronizing the target state to the first terminal and the second terminal. Through the embodiment of the invention, the target state corresponding to the target smart home equipment under the multi-terminal operation instruction can be determined based on the semantic type and the context information, so that multi-terminal state synchronization is realized, and operation conflicts are avoided.

The application relates to the technical field of medical informatics, and discloses a postoperative rehabilitation automatic follow-up triggering system for multidimensional physiological index fluctuation, which comprises the following steps: establishing a physiological time coordinate with the end time of surgery as the starting point and matching a rehabilitation baseline template; synchronously uploading and associating the physiological time sequence and the terminal operation log; extracting an interference time window caused by patient activity or equipment state change; combining the time window and the offset of the physiological time sequence to calculate a comprehensive triggering index of sign fluctuation and data loss; further generating a follow-up triggering time interval and performing task deduplication processing; and finally converting the follow-up triggering time interval into a follow-up triggering object and outputting the follow-up triggering object to a clinical task interface. The application reduces false alarm, and ensures that postoperative rehabilitation monitoring and early warning are timely and reliable.

The invention discloses an intelligent software management system of RFID, and relates to the technical field of intelligent software management. Comprising a login and safety module, a home page billboard module, a regional warehouse project management module, a data information management module, an inventory management module, a warehouse-in and warehouse-out management module, a warehouse checking module, a project inspection module, a user authority management module, a handheld terminal interface module and an intelligent abnormity identification and early warning module. By integrating the RFID scanning technology, the system can realize rapid identification and information input of the pipeline, automatically generate operation records and synchronize the operation records to a cloud database, so that the operation efficiency and the data accuracy are effectively improved; the intelligent software management system of the RFID comprises a mobile terminal operation interface and a cloud visual platform, efficient management, real-time monitoring, intelligent analysis and safety early warning of the whole life cycle of the pipeline are achieved by integrating a plurality of functional modules, and the management efficiency and decision scientificity are remarkably improved.

The utility model provides a portable safety control command terminal, including operating unit, display unit, processing unit and protection unit, the protection unit forms the accommodation cavity through panel enclosing to form the shell, the accommodation cavity is provided with operating unit, display unit and processing unit, operating unit and display unit circuit connection processing unit, the processing unit is provided with the display unit, the processing unit is provided with the display unit, the display unit is provided with the display unit, and the display unit is provided with the display unit. And the processing unit is plugged with external equipment and a power line through an external interface hole reserved in the protection unit, so that the technical problems that the safety control terminal is flexible to operate and convenient to carry are solved. The safety control platform is simple in structure, convenient to carry and move, and wide in application range, and the maneuverability of the safety control platform is improved; compared with a large-scale safety control platform, the safety control platform has the advantages that the key travel and the area of an operation panel can be reduced, the response speed and the operation efficiency are improved, the maintenance cost is reduced, the single-person control risk is reduced, the operation difficulty is reduced, the operation is flexible, the convenience and the interactivity are high, and the task guarantee reliability is improved. The portable safety control instruction terminal is suitable for being used as a portable safety control instruction terminal.

The invention relates to the technical field of data processing, and discloses a standardized lottery terminal ticket issuing exception processing method and system, and the method comprises the steps: obtaining ticket face data printed by a terminal and a terminal operation log when it is detected that the terminal executes a lottery printing instruction based on a betting scheme; based on a preset rule, automatic identification is carried out based on the ticket issuing data and the terminal operation log, whether ticket issuing abnormity occurs in the ticket issuing data and ticket issuing abnormity types are determined, and the ticket issuing abnormity types comprise a white ticket abnormity type, a residual ticket abnormity type and a ticket eating abnormity type; and if ticket issuing abnormity occurs in the ticket issuing data, triggering a target automatic processing flow based on the abnormity type. According to the invention, through an automatic abnormity identification and processing mechanism, when abnormal conditions such as white tickets, residual tickets and eating tickets occur in the lottery terminal, a corresponding processing flow is rapidly triggered, so that damage to rights and interests caused by abnormal tickets is avoided, and the problems of how to standardize ticket issuing abnormity processing of the lottery terminal and guarantee rights and interests and lottery sales order are effectively solved.

The embodiment of the present application provides a kind of double screen terminal operation method and double screen terminal.The double screen terminal operation method provided by the embodiment of the present application is by detecting whether the first application program currently being used by user in the first screen is private application program, and according to the judgment result, second application program is displayed on the second screen.Specifically, if the first application program is private application program, the second application program is non-private application program, or if the first application program is non-private application program, the second application program is private application program.The private application program and the non-private application program are displayed on two different screens, which achieves effective isolation of private application program and non-private application program, and facilitates user operation.

The application discloses a wireless data communication terminal device of a power system and a Web terminal operation method, and relates to the technical field of terminal devices. The wireless data communication terminal device of the power system comprises a terminal machine, a support leg and an antenna assembly. The bottom of the terminal machine is provided with a frame body capable of fixing the terminal machine to a plane position. The support leg is arranged at the bottom of the terminal machine and forms support for the bottom of the terminal machine. The antenna assembly is installed at the top of the terminal machine and comprises two states of unfolding and shrinking. A heat dissipation module is arranged in the terminal machine. The opening and closing of the air inlet of the heat dissipation module are controlled by the unfolding and shrinking states of the antenna assembly. A wireless communication module is arranged in the terminal machine and connected to the terminal machine. The application adjusts the angle position of the antenna arranged in the communication terminal device, can realize antenna gain in a corresponding range, and can obtain more stable data transmission effect in the process of main data interaction.