1622 results about "Mobile end" patented technology

The invention provides a BIM intelligent management platform oriented to a whole life cycle of project construction. A building information model, Internet of Things sensing data and a block chain evidence storage mechanism are integrated through a multi-source data fusion technology, and a whole-process data chain of association planning, design, construction, operation and maintenance is associated. The platform adopts space optimization Huffman coding to realize model lightweight, combines a constraint genetic algorithm to optimize a construction path, and applies a bidirectional long-short-term memory network to analyze an equipment state. A three-chain block chain system is reconstructed on the architecture, intelligent association of engineering quantity and payment nodes is realized through cooperation of a main chain, a calculation quantity side chain and an auditing side chain, and mobile terminal offline interaction is supported based on a digital-analog separation technology. The platform covers an intelligent design management unit, a block chain investment management unit, a dynamic correction management unit, a quality safety responsibility tracing unit, an NLP risk management unit and a digital twin operation and maintenance unit. The units achieve cross-system cooperation through a unified data bus, and a closed-loop management architecture covering the whole life cycle of project construction is formed.

The invention provides a self-adaptive nonlinear image enhancement method and system for a low-light scene of a mobile terminal, and relates to the technical field of image enhancement, and the method comprises the steps: carrying out the image preprocessing and noise reduction, and carrying out the graying and noise suppression of an input color image through a local variance self-adaptive algorithm; adaptive down-sampling is carried out, and the down-sampling proportion is dynamically adjusted according to the image resolution and the content complexity, so that the processing efficiency is improved; brightness adaptive enhancement is carried out, and the overall brightness of the image is rapidly improved by adopting an Otsu method and a lookup table; contrast nonlinear enhancement: enhancing image details and contrast in combination with a Laplace operator and local mean adjustment; and color restoration: restoring the resolution through bilinear interpolation and performing weighted fusion to realize natural color reconstruction. And finally, a high-quality image of which the brightness, the contrast ratio and the color are remarkably improved is output. According to the invention, the recognition accuracy and processing efficiency of the low-illumination image are improved.

The invention relates to a cardiovascular disease risk prediction system, which comprises a user terminal module, an edge computing module, a cloud intelligent module, an application service module and a system support module, wherein the user terminal module comprises an intelligent sensing equipment cluster unit and a mobile terminal data entry unit; and the intelligent sensing equipment cluster unit adopts a millimeter wave radar-PPG fusion sensor, monitors subcutaneous 0.5 mm depth arterial vibration through a 60GHz radar array, is aligned with a photoplethysmogram signal in a space-time manner, and performs user data acquisition based on a surface plasma resonance chip. According to the cardiovascular disease risk prediction method and system, real-time signal processing is realized by adopting JetsonAGX through a heterogeneous calculation architecture, medical image accelerated calculation is performed by using NVIDIAClara, non-out-of-domain joint modeling of data of hospitals is supported through federal learning, privacy protection reasoning based on homomorphic encryption is realized, and full-process closed-loop management is realized by adopting a layered modular architecture. And the accuracy of cardiovascular disease risk prediction is improved.

The invention discloses an intelligent safety inspection system for a construction site, and relates to the technical field of construction inspection, multiple data sources of the construction site are obtained through a data acquisition module, and a data fusion and processing module dynamically optimizes heterogeneous data through time synchronization, format standardization and noise filtering in combination with a self-adaptive weighted fusion algorithm, so that the construction site safety is improved. The intelligent analysis and early warning module evaluates the data difference degree based on machine learning, adopts clustering analysis to mine an abnormal mode for high-difference data, carries out safety risk identification on low-difference data, and dynamically adjusts an early warning strategy. The terminal interaction module pushes the inspection result and the early warning information to the mobile terminal APP, the monitoring center display screen and the voice broadcast device, so that a manager can remotely check the construction condition and quickly make a decision, the intelligent level of construction site safety inspection can be remarkably improved, efficient and accurate potential safety hazard recognition and dynamic early warning are achieved, and the safety inspection efficiency is improved. And the safety accident risk is effectively reduced.

The invention discloses a configurable number-theory transformation parallel computing acceleration method and device for a post quantum cryptographic algorithm, and relates to the technical field of cryptographic algorithms. The number theory transformation is a calculation bottleneck in lattice-based post-quantum cryptography and PQC; a hardware accelerator specially designed for number theory transformation (NTT) is an effective solution for improving the execution speed. At present, a mainstream design neglects the influence of the scale of a calculation array, so that the design of an NTT calculation circuit is poor in flexibility and low in memory utilization rate, and a two-dimensional reconfigurable number theory transformation acceleration circuit is provided; the method is applied to a key generation stage, an encryption stage and a decryption stage of the post-quantum cryptographic algorithm. The NTT reconfigurable computing circuit provided by the invention can keep the utilization rate of hardware resources, and is suitable for mobile terminal equipment with limited resources; the NTT circuit adopts a low-complexity memory mapping scheme, so that the address control logic is greatly simplified, and the hardware overhead is reduced.

The invention provides a mobile terminal online learning optimization method and system, and belongs to the technical field of mobile terminal learning platform optimization, and the method comprises the steps: 1, collecting the original behavior data of a terminal user, and outputting a learner state packet containing a real-time knowledge attention vector, a cognitive load index and an equipment efficiency score; 2, outputting a knowledge blind area mark set, and meanwhile, generating learning state description containing blind area marks and load levels; 3, generating a primary content optimization strategy based on the blind area mark set, carrying out strategy feasibility verification in combination with a load grade and an equipment efficiency score, and outputting a final executable strategy set; 4, executing the executable strategy set and controlling interface rendering and resource allocation; and 5, collecting eye movement track change data and system performance indexes, and outputting a feedback data stream used for updating the knowledge attention vector. The learning content and the user experience are optimized, the cognitive load is reduced, and the high efficiency and individuation of the learning process are ensured.

The invention relates to the field of video processing, in particular to a video data processing method and device, equipment and a medium. In a background replacement link, based on precise operation of video processing requirements, an adaptive algorithm can be selected according to scene characteristics, and errors are preliminarily reduced. And subsequently, error compensation is carried out on the generated intermediate video data, the error region is corrected in a targeted manner, the edge is filled and optimized by utilizing the edge pixel characteristics of the foreground region, and iteration processing is carried out until the error is lower than a preset value, so that the accuracy of background replacement is greatly improved. And finally, the target video data is injected into the virtual camera of the cloud mobile phone, the method is applied to a mobile terminal scene, the background and the foreground are naturally fused under high-precision scenes such as live broadcast and virtual conferences, the image flaws are remarkably reduced, the strict requirements of a user on the video image quality are met with a high-precision background replacement effect, and the overall user experience is improved.

The invention relates to a BIM model mobile terminal and mixed reality cooperation method and system and a medium, and the method comprises the steps: carrying out the space segmentation and space grid division processing of a BIM model according to a pre-created index structure, obtaining the index information of a plurality of space models and a plurality of space grids, and obtaining a plurality of space models and a plurality of space grids based on the index information; and constructing a unique identification code of the spatial model. Identifying the identification code through the mobile terminal, loading the spatial model corresponding to the identification code, obtaining spatial coordinates in the spatial model according to the gesture operation, converting the spatial coordinates into spatial grid index information through a preset conversion rule, and generating a loading instruction of the mixed reality equipment. And the mixed reality equipment loads a space model corresponding to the space grid index information according to the loading instruction, and superposes the space model to a real building scene through a positioning strategy. The problem of low cooperation efficiency of a BIM model mobile terminal and mixed reality in related technologies is solved.

The invention relates to a method and system for encrypting and isolating storage data of a credential mobile terminal, and belongs to the technical field of information. The method comprises the following steps: encrypting and partitioning the whole storage area, and setting an access strategy according to user permission; when a user requests to access, executing multi-factor authentication containing a password and an external hardware certificate, and adding biological characteristic authentication; after the authentication is passed, an encryption key is taken from the domestic security chip; and encrypting and decrypting data by using the secret key, and opening corresponding partition access according to authority. The system comprises a storage partition module, an identity authentication module, a key management module, an encryption and decryption module and an authority control module and is used for executing the method. The method also comprises the steps of equipment startup trusted boot and firmware upgrade verification, is based on a custom curing system, and is compatible with Android 10 +. The problems of poor hardware controllability and positioning security risk of the creative mobile terminal are solved, and full-link data security protection is realized.

The invention discloses a project progress, quality and safety collaborative management and control system and method based on BIM and Internet of Things, and belongs to the technical field of constructional engineering informatization management. In order to improve engineering management efficiency and reliability, the system comprises a data acquisition layer, a data processing layer, an application layer and a security module. The data acquisition layer is connected with the data processing layer, the data processing layer is connected with the application layer, and the security module is respectively connected with the data acquisition layer, the data processing layer and the application layer; the data acquisition layer comprises IoT equipment, an external data interface, data middleware and a BIM model, the IoT equipment acquires data through the external data interface, the IoT equipment is connected with the BIM model through the data middleware, and the data processing layer comprises a multi-source data fusion engine and an intelligent algorithm module; the application layer comprises a model management module, a model display module, an early warning management module, a data management module, a three-dimensional visual monitoring platform, an intelligent decision center and a mobile terminal module. The project management efficiency is improved.

The invention provides a multi-mode interaction mobile terminal intelligent office system and method, and the method comprises the steps: collecting and converting a voice signal through a voice input module, so as to obtain standardized audio data; the speech recognition and transcription module converts and preliminarily processes the standardized audio data to obtain text data; the intention recognition module analyzes a user intention and a key entity in the text data based on a natural language processing technology to obtain an intention recognition result; the cue word template module matches the intention recognition result to a cue word template to generate a structured instruction; the dialogue module sends the structured instruction to the large language model and analyzes structured response data returned by the large language model; the system docking and function execution module calls a target office system interface according to the structured response data so as to execute mail sending, schedule management, document processing or leave application operation; and the output and function implementation module converts the text of the operation result into a voice signal or directly outputs the voice signal, so that the problem of low office efficiency of the mobile terminal is solved.

The invention discloses a small and medium-sized enterprise information management method and system based on a multi-layer architecture, and belongs to the technical field of information management, and the method comprises the steps: constructing a decoupling architecture of a user interface layer, a business logic layer and a data storage layer; analyzing the evaluation standard through a dynamic rule engine of a business logic layer, and generating a configurable rule unit comprising a logic expression and a dynamic weight parameter; an offline priority strategy is adopted at the mobile terminal, and a vector clock identifier containing a client ID and a logic clock sequence is added to a data record; executing dynamic weighted evaluation calculation to generate a total evaluation score; and performing industry reference threshold verification on the numeric field. The technical bottleneck of tight coupling of multiple layers of modules in a traditional single framework is broken through by constructing a decoupling framework of the user interface layer, the service logic layer and the data storage layer and an asynchronous message bus communication mechanism, so that cross-layer codes do not need to be synchronously modified when the system adds or adjusts the evaluation dimension, and the system reliability is improved. And the framework flexibility and the expansion efficiency are obviously improved.

The invention belongs to the technical field of brain-computer interfaces and cognitive neural engineering, and discloses a gender impressions nerve feedback intervention method based on cooperation of a lightweight electroencephalogram sensor and a mobile terminal. According to the system, polyimide microneedle dry electrodes are adopted, interference is suppressed through double-layer shielding, and low-noise signal collection is achieved in combination with the chopping modulation technology; constructing a BDSAG model based on the alpha / theta frequency band differential entropy, and recognizing gender engraving plate activation, neutral concentration and cognitive fatigue states in real time by using a lightweight graph neural network; the dynamic closed-loop module adjusts the sex-free task density and the end-to-end delay lt according to the neural state; the time is 200 ms. The power consumption of the system is 2.7 mW, and the endurance is gt; the cost is 1 / 4 of that of traditional equipment, and experiments show that the IAT effect value of an intervention group is reduced by 25.3% (plt; 0.01) of the substrate. The method solves the problems of complex wearing, gender characteristic quantification and intervention lag of electroencephalogram equipment, and is suitable for vocational education and other scenes.

The invention discloses a multi-platform real-time field rice ear detection and counting method based on a visual converter, which is suitable for various acquisition platforms from a portable mobile terminal to an unmanned aerial vehicle terminal and the like, and meets the requirements of small-range accurate identification and large-range high-throughput monitoring. Aiming at the characteristics of multiple scales, multiple varieties, phenotype difference, time sequence change, complex field environment and the like in a data set, a rice spike detection counting network comprising a feature enhancement module, an efficient cross-space feature extraction network, a lightweight bidirectional feature fusion module and a number estimation and detection head module is constructed. The average precision mean value (mAP50) of the model reaches 0.8906 and is improved by 11.5% compared with that of an original model, the parameter quantity is reduced by 29%, and the calculated quantity (GFLOPs) is reduced by 48%. The method can effectively process rice ear images of different scales and growth periods, adapts to morphological change, overcomes interference such as illumination, phenotypic difference and shielding, and provides technical support for rice yield evaluation and field rice ear quality analysis.

The invention relates to the technical field of engineering settlement, in particular to a dynamic cost management system and method for an engineering cost settlement process, and aims to ensure that key information such as construction data and approval records cannot be tampered through a block chain technology and improve data credibility; a multi-dimensional deviation analysis algorithm comprehensively evaluates deviations of building materials, manpower, construction periods and the like, an approval process is automatically started when a threshold value is triggered, and abnormity is quickly responded; the optimal approver is automatically matched, and the flow time consumption is shortened; electronic signature and process monitoring support mobile terminal signing and real-time uploading, paper file delay is avoided, a reminding mechanism is automatically triggered when time is out, and the approval progress is ensured; the visual interaction module visually displays cost deviation and progress comparison through a thermodynamic diagram, a Gantt chart and other tools; automatic report generation and settlement support are achieved, manual accounting errors are reduced, and therefore the problem that in the existing project cost settlement process, cost dynamic management is low in practicability is solved.

The invention belongs to the technical field of intelligent measurement, and discloses a mobile terminal automatic measurement method and system based on YOLO key point detection and an AR platform, and the method comprises the steps: obtaining multi-modal data, and carrying out the preprocessing; performing target detection and key point positioning based on the RGB image to obtain two-dimensional key point coordinates; based on the depth image and the pose information, a three-dimensional space coordinate system is established, the two-dimensional key point coordinates are converted into the three-dimensional space coordinate system, and in the conversion process, a self-adaptive weight fusion mechanism is adopted to perform fusion on the multi-modal data to obtain a fusion result; a nonlinear error propagation control model is adopted to suppress error accumulation in the process of converting the two-dimensional coordinates into the three-dimensional coordinates; and calculating morphological parameters of the target object based on the converted three-dimensional key point coordinates. According to the invention, the problems of low measurement efficiency, poor precision, high equipment cost, insufficient cross-platform adaptation and the like in the prior art are solved, and high-precision, real-time and low-cost automatic measurement of various types of target objects at the mobile terminal is realized.

The invention discloses a bucket wheel anti-collision system and an anti-collision method, and relates to the technical field of bucket wheel anti-collision. The system comprises a data acquisition module used for acquiring operation data, environment data and historical collision data of the bucket wheel machine, the operation data comprises the position, the speed, the angle and the operation mode of the bucket wheel machine, and the environment data comprises a coal yard three-dimensional map, obstacle coordinates and meteorological data; the historical collision data comprises accident records and false alarm analysis. The state and environment of the bucket wheel machine are mastered in real time through high-precision positioning and multi-mode sensing, collision is effectively prevented in combination with intelligent graded alarm, and safety is remarkably improved. The risk is predicted through big data analysis and machine learning, the operation path is dynamically adjusted, operation is optimized, the maintenance cost is reduced, and the service life of equipment is prolonged. Meanwhile, the cloud monitoring and the mobile terminal APP support remote operation and real-time information pushing, the convenience and applicability of the system are enhanced, and the management efficiency is improved.

The invention discloses a power equipment temperature monitoring and early warning system and method based on wireless communication, and relates to the technical field of temperature monitoring, the system comprises a wireless temperature measurement terminal box and a mobile terminal APP, the wireless temperature measurement terminal box and the mobile terminal APP establish communication connection based on a wireless network, and the wireless temperature measurement terminal box is fixedly installed on power equipment; the wireless temperature measurement terminal box comprises an electromagnetic environment judgment module which monitors and judges whether interference exists in the environment where power equipment is located in real time based on an electromagnetic sensor and synchronizes a result into a temperature drift compensation analysis module; and the temperature monitoring module monitors temperature data in the power equipment in real time based on a temperature sensor. Through electromagnetic environment judgment and temperature drift compensation, historical data and a model are combined to dynamically correct interfered temperature data, the influence of electromagnetic interference is eliminated, real-time monitoring is matched with graded alarm, hidden dangers can be found in time, response can be made according to risk grades, accidents are avoided, and wireless connection adapts to complex scenes.

The invention relates to the technical field of mobile terminal data processing, in particular to a CPU-GPU dual-core collaborative execution method and system for a mobile terminal deep learning reasoning task. The method comprises the following steps: in an offline stage, performing structural analysis on a target deep learning model, and predicting execution time and data transmission overhead of each operator in combination with hardware characteristics; in the online stage, the two key modules of the task scheduler and the heterogeneous execution engine ensure efficient CPU and GPU cooperative execution through the innovative dynamic scheduling and resource management technology. The reasoning tasks are dynamically distributed to the CPU and the GPU, flexible cooperative scheduling is achieved, the calculation advantages of all processors are fully played, the overall utilization rate is remarkably improved, and the idle or bottleneck of a single calculation resource is avoided. For resource-limited scenes such as a mobile terminal, the system optimizes the memory use efficiency, improves the task execution concurrency and stability and realizes efficient reasoning performance through a double-buffer structure and a data multiplexing and concurrent execution strategy.

The present invention discloses a mobile terminal punching mechanism, including a main support seat, a bottom plate, a transverse sliding block, a terminal mold transverse driving device, a terminal feed track, a terminal mold seat, an upper terminal punching knife, an upper terminal punching knife punch, a lifting driving seat, an upper terminal punching knife lifting driving device, a lower terminal punching knife and a terminal feed toggle device. The present invention is reasonably designed, and the terminal mold transverse driving device can drive the entire terminal mold installed on the transverse sliding block to move laterally, so that the upper terminal punching knife and the lower terminal punching knife can move and punch the terminal in sequence. The present invention can punch the terminal while moving, without the need for a wire clamp to move, which is convenient for other workstations or other mechanisms to perform corresponding operations during the temporary pause of the wire clamp, greatly improving the production speed and production efficiency.

The invention provides a mobile terminal model lightweight method based on an artificial intelligence practical training platform, and belongs to the technical field of artificial intelligence model optimization and mobile terminal deployment, and the method comprises the steps: 1, carrying out the weight parameter monitoring of each convolution layer of a target AI voice model, calculating the importance score and parameter sparseness of each layer when a redundant parameter is detected, and carrying out the weight parameter monitoring of each convolution layer; performing pruning feasibility analysis and quantitative feasibility analysis to obtain a target pruning coefficient and a target quantitative coefficient; 2, calculating the dependency weight of the association reasoning task on each layer of the target AI voice model, and obtaining a dependency relationship network; 3, obtaining a final pruning threshold value and a pruning proportion; 4, hierarchical pruning operation is carried out by adopting the final pruning threshold value and the pruning proportion, and a model after pruning is obtained; and 5, generating a lightweight model, and outputting a mobile terminal deployment performance report. And the deployment efficiency and response performance of the AI voice model at the mobile terminal are improved.

The invention provides an electric power optical communication positioning system and method based on a PLC, and relates to the technical field of PLC electric power optical communication. After a real-time user starts a mobile terminal camera, a real-time optical signal of a target lamp is captured through the camera; the mobile terminal obtains a real-time ID and a real-time physical coordinate by decoding the real-time optical signal; after receiving a target parking space number input by a real-time user, the mobile terminal matches a parking space lamp ID and a parking space physical coordinate pre-bound with the target parking space number; and calculating a navigation path according to the real-time physical coordinates and the parking space physical coordinates, and outputting a real-time navigation path. The technical problem that in the prior art, due to the fact that underground space positioning is high in cost, poor in precision and prone to interruption of positioning communication, sub-meter continuous positioning and intensive management are difficult to carry out in a network-free underground space is solved. The comprehensive technical effects of remarkably saving the cost, improving the positioning precision, optimizing the user experience and enhancing the management efficiency are achieved.

The invention discloses an intelligent college visitor reservation system which comprises a visitor registration module, a process approval module, a pass verification module, a data management module and a confidential pass module. The mobile terminal encrypts the confidential information of the confidential identity personnel by adopting a dynamic multi-factor encryption algorithm, and then generates a dynamic two-dimensional code from the encrypted confidential information, and an authorized applicant scans the dynamic two-dimensional code of the mobile terminal of the confidential identity personnel through the authorized mobile terminal to obtain the confidential information, automatically generates authorized access and sends the authorized access to the auditing terminal; and the auditor analyzes the confidential information through the auditing terminal, performs access auditing and then issues the passing permission. According to the invention, the campus traffic management efficiency is improved, and the method has a positive influence on guaranteeing the safety of the university campus.

The utility model discloses a horizontal box filling machine which comprises a right-angle machine frame and a U-shaped inner sliding frame installed in the right-angle machine frame in a sliding mode, a lead screw linear module used for pulling the U-shaped inner sliding frame to move in the Y-axis direction is installed on the outer wall of one side of the right-angle machine frame, and a supporting table is fixed to the top end of the U-shaped inner sliding frame. A lifting unit is arranged at the top end of the supporting table, a base is installed at the moving end of the lifting unit, and supporting shells are installed on the left outer wall and the right outer wall of the base correspondingly. The outer wall and the bottom end of the packaging box are supported through the rotating and swinging action of the rotating and swinging type single-side box supporting mechanism, so that the packaging box is stably supported, more uniform pressure distribution is provided, the situation that the high-weight packaging box inclines or slides due to uneven stress is avoided, the supporting height can be accurately adjusted through the lifting unit and the rotating and swinging type box supporting mechanism, and the supporting efficiency is improved. And the packaging box is always in a stable state.

The invention relates to a heading machine pose measurement and control method and system based on visual direction finding and communication distance measurement. The system comprises a base station end measuring system in a roadway, a mobile end measuring system on a heading machine body and a motion control module. The method comprises the following steps: S1, establishing a base station end coordinate system; s2, establishing a mobile terminal coordinate system; s3, the base station side identifies and measures the vector information of the characteristic light source of the mobile terminal through a visual sensor; s4, the base station end and the mobile end measure the distance between the base station end and the mobile end through communication ranging equipment; s5, calculating the three-dimensional position of the mobile terminal in the coordinate system of the base station terminal based on the vector information and the distance information; s6, according to the three-dimensional position and the inertial measurement data of the mobile terminal, carrying out combined navigation calculation based on an EKF algorithm; and S7, performing pose control based on a combined navigation calculation result. According to the invention, a means of combining visual direction finding, communication distance measurement and inertial measurement is adopted, so that the position measurement precision is improved.

The invention relates to the technical field of intelligent operation and maintenance of electric control cabinets, and discloses an intelligent electric control cabinet remote operation and maintenance system based on the Internet of Things, which comprises a central control board, data acquisition equipment, a data transmission module, a data cleaning module, a fault detection module, a wireless communication module and a mobile terminal, the central control board is respectively connected with the data transmission module and the data cleaning module, the data transmission module is also connected with the data acquisition equipment, and the data cleaning module is also connected with the fault detection module. According to the intelligent electric control cabinet remote operation and maintenance system based on the Internet of Things, the operation state, fault information, early warning signals and the like of the intelligent electric control cabinet can be sensed and monitored by using the Internet of Things technology, and data analysis is automatically performed on the information through the fault detection technology; therefore, real-time monitoring, data statistics and maintenance management of the intelligent electric control cabinet are realized.

The invention relates to the technical field of power transmission and distribution overhead lines, and discloses a power transmission and distribution overhead line ground wire monitoring method, a positioning forwarding circuit and a device, which are used for improving the accuracy and efficiency of ground wire hanging and dismounting management. The power transmission and distribution overhead line grounding wire monitoring method comprises the steps of obtaining operation task information, obtaining and selecting a target tower, and performing navigation operation based on geographic coordinates of the target tower; after a navigation designated position is reached according to the navigation information, a mobile terminal is used for carrying out coordinate positioning checking on a target tower, grounding hitching operation processing is carried out after checking is correct, hitching position coordinates and real-time hitching and detaching state information of a target grounding wire are collected in real time through a grounding wire monitoring device, and whether hitching succeeds or not is judged through a cloud server side; if hitching is successful, hitching success confirmation information is displayed on the mobile terminal, the operation state is updated, and hitching success records and related information are stored in a database.

The objective of the present invention is to provide a mobile terminal in which a layout of execution screens of two or more applications displayed together can be automatically changed to be suited for a user's viewing. According to an aspect of the present invention, provided is a mobile terminal comprising: a body; a display coupled to the body such that a display area viewed from the front of the body can be changed according to the switching between an extension display mode and a contraction display mode; and a control unit for controlling such that a layout for two or more application execution screens displayed together on the display is changed in response to the switching from the extension display mode to the contraction display mode.

The invention relates to the technical field of block chains, and particularly discloses a virtual article secure transaction method, device and system, a medium and a server. The method relates to a mobile terminal, a proxy server and an issuing server, is executed by the proxy server and is used for receiving encrypted ciphertext transaction data sent by the mobile terminal and transmitting the data to the issuing server, so that the issuing server issues a virtual article corresponding to the transaction data obtained by decryption to the mobile terminal, and after the issuing server issues the virtual article, the virtual article is sent to the mobile terminal. And the proxy server and the issuing server carry out account checking. According to the method, the transaction data is encrypted by using the fully homomorphic encryption algorithm in the data transmission process, it is ensured that the proxy server cannot obtain plaintext transaction data, and account checking is performed by the proxy server and the issuing server, so that the problem of non-uniform bills is solved.

The invention discloses a remote intelligent home peritoneal dialysis system, a peritoneal dialysis control method, a terminal and a medium. The system comprises a patient terminal device, a remote server and a mobile terminal. The patient end device is used for collecting and transmitting multi-dimensional data. And the remote server is used for collecting the multi-dimensional data collected by the patient end equipment, analyzing and processing the multi-dimensional data by using an AI model, and outputting early warning information, a prediction result and a treatment scheme. And the mobile terminal is used for acquiring the early warning information, the prediction result and the treatment scheme pushed by the remote server, and generating a visual data board. The remote intelligent home peritoneal dialysis system provided by the invention is beneficial for helping a patient clearly know the health condition of the patient, meanwhile, a doctor can carry out omnibearing monitoring on the patient, and three-in-one integration of all-dimensional monitoring, AI intelligent decision making and doctor-patient closed-loop management is facilitated.