278 results about "Online processing" patented technology

The invention relates to the technical field of agricultural environment intelligent regulation and control, in particular to an agricultural environment intelligent regulation and control method and system based on a cloud platform, and the method comprises the steps: collecting farmland environment parameters and crop image data through a multi-source sensor, filtering the farmland environment parameters and crop image data through an edge computing node, and transmitting the filtered farmland environment parameters and crop image data to the cloud platform; preprocessing the farmland environment parameters and the crop image data, and extracting time domain and space domain features; an agricultural environment state index prediction model is constructed based on a multi-head self-attention encoder, training of the agricultural environment state index prediction model is completed through historical data, the agricultural environment state index prediction model is deployed as a cloud service API, farmland environment parameters and crop image data input in real time are processed online, a control instruction is generated according to a prediction result, and the control instruction is sent to the cloud service API. Accurate and intelligent regulation and control of the agricultural environment are completed through Internet of Things protocol issuing equipment. Through dynamic feature modeling and multi-index collaborative optimization, the precision of agricultural environment regulation and control and the resource utilization efficiency are remarkably improved.

The invention discloses a multi-mode electroencephalogram analysis model construction method and an online processing method and system. According to the method, multi-modal physiological signals such as electroencephalogram, electrocardio, skin electrical activity and eye movement are collected, and an integrated multi-modal signal collection device is used for preprocessing and feature extraction. A modal expert system based on an adaptive Transform architecture is adopted to replace a standard feed-forward network so as to enhance the feature processing capability. By means of the method, the features can be complemented under the condition of mode or data missing, the robustness, real-time performance and accuracy of the brain-computer interface technology in multi-mode data processing are improved, and the method is particularly suitable for the fields of emotion recognition, cognitive load monitoring, neural rehabilitation and the like.

The invention discloses a satellite-ground cooperative processing method and system based on edge computing, and the method comprises the steps: constructing a satellite-ground integrated cloud edge-end cooperative architecture which comprises a satellite terminal layer, a ground edge layer and a cloud computing layer, connecting a satellite end with a ground cloud center through a distributed foundation edge service station, and achieving the unified scheduling of satellite-ground resources and task cooperation; establishing a task processing position decision model based on task data volume, link bandwidth and computing power, dynamically selecting a satellite end, an edge station or a cloud center for processing in combination with response time constraint and energy consumption cost, and optimizing time delay and energy consumption; the method comprises the following steps: constructing a geoscience sky intelligent learning framework, performing ground center offline training to optimize a deep learning model, performing pruning quantification to generate a lightweight model, issuing the lightweight model to a satellite end, performing on-line reasoning by the satellite end, and collecting and returning data to form a closed-loop learning process; an offline-online cooperation mode is introduced, high-real-time tasks are preferentially processed online, non-real-time tasks are cached and downloaded in batches, and a strategy is dynamically adjusted to improve the system efficiency and the resource utilization rate.

The invention discloses a laser radar multi-channel echo data online processing system, which sequentially comprises a data distribution layer, a data processing layer and a data processing layer, the data distribution layer divides the echo data and then sends the echo data to the data cache layer to extract a local maximum value, a filtered sampling point sub-sequence corresponding to the local maximum value and a serial number of the local maximum value in the corresponding filtered sampling point sub-sequence; and inputting the data to be pre-fitted into a data processing layer for pre-fitting and fitting based on a polarization normal waveform fitting function in sequence to obtain the optimized signal intensity and the optimized waveform center position, thereby further obtaining the channel calculation distance of the target. The invention further discloses a laser radar multichannel echo data on-line processing method. The on-line processing system is used for obtaining the spatial position information, the corrected spectral information and the spectral reflectivity of a target. According to the invention, by adopting an FPGA pipeline processing architecture, efficient online processing of multi-channel echo data of the hyperspectral laser radar is realized.

The invention discloses a multi-modal KV cache retrieval method and system based on a hybrid architecture, relates to the technical field of data processing, and aims to solve the technical problem that in the prior art, due to the adoption of a full-online computing architecture and lack of a unified cross-modal representation framework, the computing efficiency and the modal fusion effect are difficult to consider at the same time. By constructing a hybrid processing architecture of offline pre-calculation and online processing, multi-modal data is subjected to unified fragmentation coding and KV cache and semantic fingerprints of the multi-modal data are pre-calculated in an offline stage, and cache fragments are intelligently assembled and position codes are dynamically remapped based on a user query intention in an online stage; therefore, online repeated calculation of multi-modal content is fundamentally avoided, coherent alignment and efficient fusion of cross-modal semantics are achieved, the real-time response capability, the cache reuse rate and the multi-modal generation quality of the system are remarkably improved, and high-concurrency scenes can be dynamically adapted.

The invention introduces a short-process manufacturing process of aluminum foil for a high-strength 8021 alloy container, and relates to the technical field of aluminum foil processing, and the short-process manufacturing process comprises the following specific steps: S1, smelting; s2, on-line treatment of the melt; s3, continuous casting and rolling; s4, cold foil rolling; s5, annealing a finished product; and S6, checking and packaging. According to the method, homogenizing annealing and even after-process cold foil rolling production are not needed, components can be utilized, the blank can be discharged from a machine for preheating, blank waste heat can play a role in eliminating internal stress through low-temperature tempering, the subsequent rolling deformation resistance is reduced, and the low-carbon production concept is really practiced; the single-pass machining rate of cold foil rolling is larger, the number of rolling passes is smaller, rolling is easier, production is easier, the production cost of cold foil rolling and foil rolling can be effectively reduced, and economic benefits of industrial production are achieved.

A multi-legal person business processing method based on data labels and multi-dimensional control comprises the following steps: grouping according to legal persons, and designing a batch processing mechanism for the legal persons capable of sharing data files and keeping business date synchronization so as to process the legal persons in the same batch processing group; a multi-legal person mechanism for online processing is designed by adopting the modes of starting and stopping according to legal persons, processing errors and processing input and output in transactions; designing a data isolation sharing mechanism, and adding a legal person number field to the table needing data isolation; performing message interpretation based on the batch processing mechanism, the online processing multi-legal person mechanism and the data isolation sharing mechanism; the validity of data access is verified in the message interpretation stage so as to reduce the consumption of system resources, and if illegal data access is found, the illegal data access is intercepted when a core interpretation message is just entered and a failure is returned.

The invention discloses an SF6 gas monitoring data online processing system. The system comprises a multi-mode sensing unit, an edge calculation preprocessing unit, an Internet of Things communication transmission unit, a cloud deep reinforcement learning and Transform fusion processing unit, a decision analysis unit and an interactive display unit. The multi-mode sensing unit collects SF6 gas pressure, temperature and other parameters in real time, and the parameters are uploaded to the cloud through the Internet of Things communication transmission unit after edge calculation preprocessing. The cloud end utilizes a deep reinforcement learning and Transform fusion model to mine a complex relationship and a change trend among parameters, the decision analysis unit evaluates a gas state according to the complex relationship and the change trend, and the interactive display unit visually displays a result. The system overcomes the problems of low manual efficiency, shallow data processing, poor self-adaption and the like of traditional monitoring, realizes accurate, real-time and intelligent monitoring of the SF6 gas density, and provides reliable guarantee for safe operation and intelligent operation and maintenance of substation equipment.

The embodiment of the invention provides a fan online vibration monitoring and fault diagnosis method and system, and belongs to the technical field of fan monitoring. Comprising the following steps: acquiring vibration data of fan operation within a period of time and performing noise reduction processing; windowing and framing are carried out on the vibration data after noise reduction processing, vibration data features are extracted, a training data set is obtained, and a fan vibration fault diagnosis model is constructed and trained. A trained fan vibration fault diagnosis model is deployed in an STM32 chip of an intelligent diagnosis terminal through STM32CUBEMAX software, and terminal edge calculation and real-time fault diagnosis functions are realized. The fan online vibration monitoring system can perform real-time vibration monitoring on the fan, perform online processing and diagnosis on vibration data, and transmit an analysis and diagnosis result to a background in real time, so that a vibration fault and fault early warning of the fan can be found in time, operation and maintenance personnel can conveniently retrieve the vibration analysis result at any time, and the operation and maintenance efficiency is improved. And the vibration state of the fan is compared and analyzed in real time, and the potential fault hidden danger of the fan is found in time.

The invention discloses an unknown protocol identification method based on comparative learning, and relates to the technical field of industrial control system network security, and the method employs multi-view feature extraction and comparative learning pre-training, can learn general protocol representation from unlabeled traffic, reduces the dependence on prior knowledge, and improves the recognition efficiency. The robustness of the model in a data scarce scene is enhanced; a dynamic prototype network construction and self-adaptive threshold updating mechanism allows a system to process new protocol traffic online, and through similarity calculation and threshold adjustment, known and unknown protocols are quickly distinguished, so that the delay problem of retraining due to protocol mutation in a traditional method is avoided, and the real-time response capability is improved; besides, a meta-learning mechanism is integrated, so that the model can quickly adapt to a new protocol type after obtaining a small number of labeled samples, and in combination with incremental updating of prototype memory, old class drift is effectively inhibited, and the stability of the system in a dynamic environment is ensured.

The invention relates to the technical field of laser processing, and discloses a method and system for online removal of steel wire rod oxide scale based on the laser technology, and the method comprises the following steps: establishing a relationship between a release stress and an adhesive force, and determining a relationship between different process parameters and oxide scale removal effects; initial laser process parameters are determined by combining the current material attributes of the wire rod and the performance of the oxide skin; the initial laser process parameters are dynamically adjusted according to the thickness distribution condition of the oxidation layer on the surface of the wire rod; performing laser treatment on the oxide scale on the surface of the wire rod by using a rotary laser head; and detecting the removal effect of the scale on the surface of the wire rod by using an image recognition technology, and dynamically optimizing model parameters according to a detection result. The device can remove scale and stains on the surface of the wire rod in the continuous production process at a time, and the problems that in the prior art, the scale on the surface of the wire rod cannot be completely removed, and the scale on the surface of a workpiece cannot be efficiently treated online are solved.

The invention discloses a method for improving the strength and plasticity of a middle-high layer staggered energy metal material, and belongs to the technical field of metal material preparation and processing. According to the method, N times of deep cooling online treatment (N is larger than or equal to 2) are carried out on the middle-high layer staggered energy metal material, a deep cooling medium is liquid nitrogen or liquid helium, plastic deformation is achieved by means of continuous rolling and other processes, and online aging heat treatment can be carried out between the treatment chambers. After treatment, the material forms a nano twin crystal structure, so that the strength and plasticity are synergistically improved, and the high conductivity is kept. According to the method, the limitation of a traditional strengthening technology is broken through, dislocation motion and stress distribution are regulated and controlled through the nano twin boundaries, fracture is avoided, and the conductivity is guaranteed. Meanwhile, the technology can be operated in an integrated and continuous mode, is suitable for large-scale production of wires and thin strips, is high in machining efficiency and stable in performance batch, and meets the requirements for metal materials of high-end connectors in the fields of integrated circuits, new energy automobiles and the like.

The invention discloses a real estate registration service on-line handling system and method, and the system comprises a user access end which is used for carrying out the real-time communication with a plurality of users related to service handling through an external network, carrying out the identity verification of the users, and transmitting the verification result to a server; the data forwarding module is also used for being connected with a virtual hall server through an encrypted intranet and forwarding data of the virtual hall server; the virtual hall server is used for determining a security policy according to the business handling type, the encrypted intranet state and the identity information and the positioning record of each user, and establishing a virtual reception room; the business handling server is used for completing contract signing, material receiving and voice recording in the virtual reception room, and verifying the authenticity of related materials and voice content according to the collaboration file; and the collaborative server is used for storing associated files issued by different government affair departments related to business handling. According to the invention, on-line handling of real estate businesses in which a plurality of parties are required to participate is realized, and the handling efficiency and the user experience are improved.

The invention discloses an SEO intelligent marketing system which comprises an SEO intelligent marketing information interaction window and an SEO intelligent marketing element database. The SEO intelligent marketing element database comprises a customer data management module, a website optimization data management module, a competing site data tracking analysis module, a keyword primary selection module, a page topic planning module, a keyword map layout module and a page TD generation module; the invention further discloses an SEO intelligent marketing method based on the SEO intelligent marketing system, the SEO optimization marketing step can be converted into digital online processing, and the problems that the current optimization speed is low, the efficiency is low and the period is long are solved.

The invention belongs to the technical field of nuclear power station pipeline internal weld joint processing, and particularly relates to a special online processing device for pipeline internal weld joints. The eccentric tool bit is fixed to the eccentric tool rest base, the annular conical face push rod axially slides in the shell, the annular wedge block is installed on the shell, the annular wedge block is limited in the axial direction and stretches out and retracts in the circumferential direction of the shell, and the annular wedge block moves along with movement of the annular conical face push rod. The power connecting shaft is used for connecting and transmitting rotating power transmitted by a main shaft power source to the eccentric tool rest seat, so that circumferential rotation and axial movement of the eccentric tool rest seat are realized; a first air inlet and a second air inlet are formed in the tail of the shell. On-line machining is carried out on the internal weld joint of the high-temperature gas cooled reactor pneumatic lifting pipeline, the device can extend into the bulge of the internal weld joint of the pipeline to carry out on-line machining work, the machining precision of the pipeline weld joint in a narrow space is improved, clamping and blocking of a spherical element are avoided, and the reliability of pipeline equipment is improved.

The invention relates to the field of optical fiber sound wave sensing and positioning, in particular to an optical cable rapid positioning system and a method thereof, the positioning system does not depend on real-time network communication, can stably operate even in an environment without a communication network, shows obvious advantages, and can realize rapid positioning by playing characteristic sound waves with specified frequency components. The interference of environmental noise can be effectively reduced, the positioning accuracy can be remarkably improved, even in a noisy environment, the accuracy of a positioning result can be ensured by applying a high-strength characteristic signal and filtering noise interference of a non-target frequency band, and the accuracy of a positioning result can be ensured by adopting an offline acquisition-online processing mixed framework. The environmental adaptability and the automatic data processing capability of the system are obviously improved, and the complexity and the potential error rate of manual operation are greatly reduced; the problems that an existing optical cable positioning system and method depends on GPS positioning and a real-time communication network and is easily influenced by subjective judgment, the calculation efficiency of all-point analysis is low, and the number of participants is too large are solved.

A system for in-line treatment of thread for use with a thread consuming device is provided. The system comprises at least one treatment unit being configured to dispense one or more coating substances onto the at least one thread when activated and a thread speed sensor being driven by the motion of the at least one thread. A method is further provided.

An edge online processing method for multi-source data relates to the technical field of data processing, and obtains data corresponding to various types of production data monitoring indicators of process subsequences; constructs a relationship topology diagram between industrial equipment corresponding to each process subsequence, obtains abnormal process subsequences according to an input edge data fuzzy judgment model, suspends the operation of production equipment of the abnormal process subsequence, and starts an edge scheduling mechanism for the abnormal process subsequence; constructs a full-process edge data prediction model based on a graph convolutional neural network, obtains prediction data corresponding to various types of production data monitoring indicators of other edge monitoring nodes according to the full-process edge data prediction model, and judges whether other edge monitoring nodes are abnormal process subsequences to be detected, thereby realizing the prediction of early faults before industrial equipment changes from a normal state to a fault state, thereby taking preventive measures before the industrial equipment fault matures.

The invention relates to a fuel cell multi-objective optimization system based on electrochemical impedance spectroscopy and quantitative analysis, and the system comprises a fuel cell system which is composed of auxiliary systems and a fuel cell stack and is used for providing fuel for power generation; the electrochemical impedance spectroscopy measurement system is used for collecting the voltage and current of the fuel cell stack and calculating the impedance spectroscopy of the fuel cell stack through online processing; and the multi-objective optimization system is connected with the fuel cell system and the electrochemical impedance spectroscopy measurement system, and is used for obtaining the optimal operation conditions of the current fuel cell stack under different current densities according to the operation condition sensitivity database, the set constraint conditions, the multi-objective parameters and the to-be-optimized parameters so as to complete multi-objective optimization. By adopting the system provided by the invention, the parameter calibration of the system can be realized more quickly, the development period can be greatly shortened, and a large amount of test calibration time and cost can be saved; and a good foundation is laid for impedance-based adaptive parameter optimization application of the vehicle-mounted FCU.

The invention discloses a business collaborative scheduling method and device suitable for a decentralized multi-cluster Internet of Things, and belongs to the technical field of Internet of Things scheduling, and the method comprises the steps: deploying an algorithm in a control management scheduling function module on a cluster head node of each cluster of the multi-cluster Internet of Things, and the control management scheduling function module on each cluster head node calls an algorithm to complete an online processing process among a plurality of service requests so as to deploy the dynamically arrived service requests. The method can effectively prevent privacy leakage, and has the advantage of high deployment speed.

The invention belongs to the technical field of multi-target identity judgment among multiple passive sensors. The invention provides a space-time and track double-constraint multi-target identity judgment method for multiple passive sensors. According to the embodiment of the invention, the time-space criterion based on the continuous multi-frame epipolar geometric constraint and the track criterion based on the track feature cosine similarity are constructed, so that the identity judgment characteristics of multiple targets in different sensors can be described more accurately, and the accuracy and robustness of the identity judgment of the multiple targets are remarkably improved. The problem of weight optimization under different sensor configurations and scene characteristics is solved through an adaptive fusion weight mechanism, and performance degradation of a fixed weight strategy in a complex scene is avoided. The method has good scene adaptive ability and excellent real-time response characteristic, completely meets the rapid online processing requirement in the airborne environment with limited resources, maintains the flexibility and expansibility of cross-platform deployment, and provides reliable technical support for leading-edge applications such as multi-carrier collaborative awareness.

The invention discloses a power plant carbon emission online abnormal value real-time processing method, device and medium, and the method comprises the steps: obtaining monitoring data in CEMS carbon emission, the detection data comprising flue gas flow and carbon dioxide concentration; performing real-time online processing on the obtained monitoring data, and judging whether data exception exists or not; and if abnormity exists, establishing a mapping relation between the DCS data and the CEMS data through big data and a deep learning algorithm, and correcting or filling abnormal values of monitoring data in the CEMS by adopting DCS real-time operation data. According to the method, the mapping model relationship between the DCS data and the CEMS carbon emission online monitoring data is constructed through deep learning, the abnormal value of the monitoring data in the CEMS is corrected or filled by adopting the DCS real-time operation data, and a feasible scheme is provided for real-time processing of the CEMS carbon emission online monitoring abnormal value. The method can be widely applied to the field of environmental protection monitoring.

The invention relates to the technical field of beam diagnosis, and provides an embedded system and method for online dynamic beam position and phase real-time monitoring, the system comprises a data transmission unit and a data processing module, the data transmission unit is used for acquiring beam information of a linear accelerator and performing real-time dynamic transmission on the beam information; and the data processing module is used for performing online processing on the beam information in the target time period to obtain a processing result of the beam position and the beam phase in the target time period. The beam information is obtained and transmitted on line in real time through the data transmission unit, the beam information is processed on line through the data processing module, the beam position and the beam phase are monitored in real time, the beam information such as the beam position and the beam phase is obtained in real time, and therefore the beam adjusting and operating efficiency of the heavy ion linear accelerator is improved.

The invention discloses an intelligent online heat treatment device for strengthening and toughening alloy through cooperation of temperature and electricity and a heat treatment method of the intelligent online heat treatment device. The online treatment device comprises a curling transmission system, a temperature and electricity treatment system and a cooling system. The temperature electric treatment system is composed of a heating furnace and a current conveying device, the heating furnace is provided with M sections of hearths, any section of hearth is independently controlled in temperature, the current conveying device comprises M groups of current conveying pole pieces, any group of current conveying pole pieces comprises a first current conveying pole piece and a second current conveying pole piece, the first current conveying pole piece and the second current conveying pole piece are arranged at the two ends of any section of hearth respectively and are in lap joint with the middle of a metal material to be treated in the width direction in the working process, and the cooling system comprises M cooling pools; the hearths and the cooling pools are alternately distributed; by means of the device, continuous gradient heat treatment of the metal material can be achieved, and the metal material is evenly heated in the heat treatment process through the temperature-electricity synergistic effect.

The application discloses a kind of automobile paint surface defect detection and polishing method and system, the method includes: offline processing: detection station offline collection point planning is carried out, and the trajectory of multiple detection mechanical arms is planned;Detection station offline collection point calibration is carried out, and the paint surface imaging acquisition component and the 3D positioning camera external parameter of detection station are offline calibrated;Polishing station polishing mechanical arm and polishing station 3D positioning camera hand-eye calibration are carried out;Online processing: paint surface defect detection is carried out, and defect attribute and defect position positioning are obtained;Defect three-dimensional coordinates and normal are transmitted to automatic polishing component by visual positioning mode, and the paint surface defect is polished by automatic polishing component.Processing is carried out.The system is used to execute the above method.The application has the advantages of simple structure, wide application range, high degree of intelligence, high detection and polishing efficiency, etc.

The device comprises a long-rod-shaped spray gun, the front end of the long-rod-shaped spray gun is a spraying opening, the rear end of the long-rod-shaped spray gun is connected with an alkali liquor conveying pipe, a sleeve is arranged on the periphery of the long-rod-shaped spray gun, an isolation rotating core valve is arranged on the sleeve, and the long-rod-shaped spray gun can penetrate through a through hole in the middle of a valve element of the isolation rotating core valve; the sleeve is divided into a sleeve front section and a sleeve rear section by the isolation ball valve, the head of the sleeve front section extends into the blast furnace gas conveying pipeline, the side wall of the sleeve front section is fixedly and hermetically connected with the side wall of the blast furnace gas conveying pipeline, and a shaft sealing facility capable of penetrating through the long-rod-shaped spray gun is arranged at the tail end of the sleeve rear section. The characteristic that the spray gun can penetrate through the through hole in the middle of the isolation rotary core valve is utilized, and a shaft sealing facility is matched, so that the spray gun can enable a gas pipe to be drawn out and inserted into a gas supply gas channel in an on-line gas supply state, the spray gun can be maintained or replaced on line at any time, the spray gun can be kept in the optimal working state, the detoxification efficiency is improved, and the cost is reduced.

The invention provides a batch-to-batch connection processing method and device, equipment, a storage medium and a program product, and can be applied to the technical field of big data processing. The method comprises the following steps: in response to a batch-to-batch connection processing request for batch service data, obtaining online processing parameters of an online processing routine corresponding to multiple online service data according to a batch processing result of the batch service data; monitoring an online processing process of processing the plurality of online processing parameters by using the online processing routine to generate an online processing log; the online processing log is subjected to anomaly detection, an anomaly detection result is obtained, and the anomaly detection result comprises an anomaly type used for indicating whether an anomaly exists in the online processing process or not and representing the anomaly type under the anomaly condition; and in response to the abnormality detection result indicating that the online processing process is abnormal, executing a processing operation corresponding to an abnormality type according to the abnormality type indicated by the abnormality detection result.

The invention discloses an integrated sulfide solid electrolyte production system and method. The integrated sulfide solid electrolyte production system comprises a raw material pretreatment and feeding unit, a first-stage ball milling reactor, an online treatment device, a second-stage synthesis reactor and a whole-course inert gas protection and control system which are connected in sequence, the raw material pretreatment and feeding unit is used for drying and accurately metering sulfur powder and lithium hydride; the first-stage ball-milling reactor is used for receiving raw materials conveyed by the feeding unit and carrying out high-energy ball-milling reaction to generate a primary product containing lithium sulfide; the online treatment device is used for carrying out reaction promotion and impurity removal treatment on the primary product; the second-stage synthesis reactor receives the treated lithium sulfide product and mixes the treated lithium sulfide product with other sulfide raw materials to synthesize a target electrolyte; according to the whole-course inert gas protection and control system, the raw material pretreatment and feeding unit, the first-stage ball milling reactor, the online treatment device and the second-stage synthesis reactor are integrated in a closed inert atmosphere environment, so that continuous or semi-continuous transmission of materials is realized.

The application discloses a ground three-dimensional laser scanning point cloud collection system and relates to the field of three-dimensional point cloud data processing of the ground; the size of data input is 10 square meters; a KPConv algorithm is improved; the characteristics of each input point are expanded; Max Pooling is used to aggregate the relative position and the Euclidean distance of the field points and the center point; Average Pooling is used to aggregate the field characteristics of each point extracted through the multi-layer KPConv into global characteristics; and a set of point cloud visualization websites is deployed by using WebGL.

A speech processing method, device and system are disclosed. The speech processing method comprises: obtaining speech information; inputting the obtained speech information into a cloud speech processing engine and a local speech processing engine; determining a speech processing result to be used according to an offline-online arbitration rule; and performing a corresponding operation based on the determined speech processing result. The application inputs a speech stream into a cloud engine and a local engine at the same time, and selects a proper online or offline processing result through a reasonably set offline-online arbitration strategy. Therefore, a dynamic real-time decision for offline-online processing result selection can be realized, and is not affected by a weak network environment and a connection condition of an application and a cloud.