1838results about How to "Guaranteed normal transmission" patented technology

The invention provides an unstructured file parallel synchronization method and system, and relates to the technical field of file synchronization, and the method comprises the steps: carrying out the intelligent partitioning of a target file through a pre-training file partitioning model, and generating a double-layer cascade index number and a data hash value; and then, according to the data transmission priority model, transmitting the data sub-blocks to a target end database through a self-adaptive parallel transmission channel, and performing asynchronous verification. And finally, recombining the data sub-blocks based on the double-layer cascade index number and the data block association graph by utilizing a pre-training file recombining model, generating a synchronous target file, and submitting confirmation information to the block chain network. According to the method, the unstructured file synchronization efficiency can be improved, the data integrity and security are guaranteed, and the network transmission pressure and the storage cost are reduced.

The invention provides an intelligent runoff pollution monitoring and response method and system, and the method comprises the steps: arranging a plurality of monitoring points in a runoff region, collecting water quality, hydrological and meteorological data in real time through a sensor, transmitting the data to a data processing center through a wireless network, carrying out the preprocessing, storage and analysis, and calculating the comprehensive pollution index of each monitoring point. And comparing with a set index threshold value. When the comprehensive pollution index exceeds a threshold value, the system identifies and evaluates key water quality parameters so as to determine a reasonable parameter threshold value; once data of a monitoring point exceeds a preset pollution threshold value, an alarm mechanism is triggered, then a pipe network water flow model and a geographic information system are combined to reversely track a pollution path, accurately position a pollution source and provide a basis for pollution control, and the process comprises the steps of screening suspected pollution source nodes, calculating a propagation path probability and preferentially checking a high-probability path. The traced pollution source or path probability is lower than a preset value.

The invention discloses a video transmission method and system based on streaming processing, and relates to the technical field of video transmission, and the method comprises the steps: collecting a video stream, carrying out the preprocessing, extracting a video frame, packaging the video frame into a picture stream, carrying out the data fragmentation, distributing an initialization path for fragmented data, and calculating an initial traffic proportion; and optimizing path selection and adjusting path flow distribution according to network feedback to obtain a path optimization result, and transmitting the fragmented data according to the path optimization result. Through multi-level feature extraction and key frame selection of video frames, fragmented packaging of video data is realized, a dynamic path optimization technology is combined, path selection and flow distribution are dynamically adjusted based on a Q learning algorithm and a luminescence firefly algorithm, the transmission efficiency is improved, video image processing and a dynamic network optimization technology are fully combined, and the video image processing efficiency is improved. And a brand new solution is provided for efficient and stable transmission of high-definition video streams.

The invention discloses a data cooperative transmission method and system for a low earth orbit satellite Internet of Things terminal, and the method specifically comprises the steps: carrying out the classification cutting of environment data, and forming a plurality of environment data subsets; determining a plurality of cooperative sending terminals and respective optimal communication paths between the first low earth orbit satellite Internet of Things terminal and each cooperative sending terminal based on a communication topological structure relationship between the low earth orbit satellite Internet of Things terminals in the ad hoc network; transmitting the environment data subsets with different priorities to corresponding cooperative sending terminals through different optimal communication paths; and according to the environment data subsets sent by each cooperative sending terminal and received by the low-orbit satellite, splicing the environment data subsets and forwarding the spliced environment data subsets to a target terminal or a ground station or a data center. According to the invention, the cooperative effect among a plurality of low-orbit satellite Internet of Things terminals can be fully utilized, and stable and reliable data transmission under the requirements of large data volume and high real-time performance is realized.

The invention provides an interconnection communication system based on multiple mesh circuits, and belongs to the technical field of communication network management, and the system comprises a tensor obtaining module which collects basic parameters of network nodes, constructs a multi-dimensional tensor, and expands the multi-dimensional tensor to obtain an expanded multi-dimensional tensor; the model building module is used for decomposing the extended multi-dimensional tensor and building a global network topology model based on a decomposition result; the model analysis module is used for analyzing the global network topology model and determining an initial path candidate set based on an analysis result; the path determination module is used for selecting an optimal path from the initial path candidate set based on a preset algorithm, and taking the optimal path as a main path for communication resource transmission; and the fault processing module is used for deploying a preset monitoring tool at each network node to monitor the operation parameters of each link in real time, and triggering a fault report mechanism and starting a fault processing flow when an agent detects that the link is abnormal. And the intelligence and reliability of network management are improved.

The invention provides a mobile robot operation efficiency evaluation method and system based on the industrial internet, and relates to the technical field of operation efficiency evaluation, and the method comprises the steps: collecting multi-mode operation data, selecting a transmission channel, uploading the data to an edge calculation node, carrying out the preprocessing, completing the information, and carrying out the filtering operation, generating a first semantic feature and an operation feature descriptor; selecting an optimal transmission path and a service function chain, uploading the operation characteristic descriptor to a cloud server, carrying out real-time analysis on the operation characteristic descriptor, generating an initial operation efficiency evaluation result, carrying out analysis and comparison, determining an efficiency bottleneck, and generating an initial optimization improvement suggestion; sending an initial operation efficiency evaluation result to an edge computing node, performing semantic enhancement and logical reasoning, generating a refined efficiency evaluation report, analyzing an incidence relation and an influence mechanism among different evaluation indexes, determining key efficiency bottleneck factors, generating a comprehensive optimization suggestion, collecting operation data in real time, and generating a comprehensive efficiency evaluation report.

The invention relates to the field of power system safety monitoring, and discloses a power transmission line vibration monitoring and early warning method for dealing with extreme weather, which comprises the following steps: arranging a multi-level sensor network to monitor vibration and environmental conditions of a power transmission line; monitoring data are processed and transmitted in real time through edge calculation and a 5G network; performing trend prediction on the vibration data by using a multi-modal deep learning model; an early warning threshold value is adjusted through a distributed self-adaptive dynamic threshold value control method; and when abnormal vibration or a high-risk trend is detected, generating and issuing early warning information. Through a multi-level sensor network, an intelligent early warning algorithm and dynamic threshold control, efficient monitoring of power transmission line vibration and accurate early warning in extreme weather are realized, the real-time performance of data transmission and processing is effectively improved, the accuracy of vibration trend prediction is enhanced, the false alarm rate and the missing report rate are reduced, and the method is suitable for popularization and application. Therefore, the method has higher adaptability and stability in a complex environment.

The invention discloses a point cloud data processing method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring initial point cloud data to be sent; dividing the initial point cloud data into a group of point cloud blocks; performing graphical representation on the basis of the point cloud data in each point cloud block in the group of point cloud blocks to generate a group of graph structure data, one graph structure data in the group of graph structure data corresponding to one point cloud block in the group of point cloud blocks, and the graph structure data being used for representing features of the corresponding point cloud block; and encoding the group of graph structure data to obtain a group of data packets, and sending the group of data packets to a target terminal so as to perform decoding reconstruction at the target terminal to obtain target point cloud data. The technical problems that the processing efficiency of the point cloud data is low and the effect cannot be quickly achieved in the related technology are solved.

The invention relates to the technical field of data transmission and updating, in particular to a data transmission and updating system and method of a cloud mobile phone. According to the technical scheme, the system comprises an intelligent network monitoring module, a dynamic bandwidth allocation module, a server load balancing module, an intelligent data synchronization module and a cache management module, and the intelligent network monitoring module monitors network conditions, including network bandwidth, network congestion degree and network stability, between a user terminal and a cloud server in real time. Through the synergistic effect of the intelligent network monitoring module, the dynamic bandwidth allocation module, the server load balancing module, the intelligent data synchronization module, the cache management module and the like, the network condition is accurately monitored, the bandwidth is reasonably allocated, the server load is optimized, the data synchronization and completeness are ensured, and the cache efficiency is improved; stable and reliable network connection, preferential key data transmission and rapid data synchronization and loading are brought to users, and the use experience of the cloud mobile phone and the overall performance of the system are greatly improved.

The invention relates to the field of infrared image processing, and discloses a signal transmission method and system of an infrared thermal imaging movement, and the method comprises the steps: obtaining initial infrared thermal imaging data, network environment parameters and packet loss information; according to the initial infrared thermal imaging data and the network environment parameters, transmission strategy self-adaptive dynamic adjustment is carried out, and an optimized transmission strategy is obtained; according to the packet loss information, performing packet loss mechanism analysis to obtain a packet loss mapping relation model; dynamically balancing image quality and transmission real-time performance according to the network environment parameters, the optimized transmission strategy and the packet loss mapping relation model to obtain a balance constraint condition; estimating a future bandwidth demand according to the balance constraint condition to obtain a network resource pre-allocation scheme; and according to the network resource pre-allocation scheme, establishing a closed-loop optimization model and carrying out model optimization iteration to obtain a stable-state transmission scheme. According to the method, self-adaptive dynamically-adjusted infrared thermal imaging movement data transmission can be realized.

The invention relates to integrated airborne communication antenna equipment and a communication method. The method comprises the following steps: carrying out CSI data acquisition and space-time focus modulation on a communication channel to obtain CSI space-time characteristic data; performing residual vector quantization operation to generate a quantized data stream, and performing recursive coding processing to obtain a target data stream; mapping the target data stream to a three-dimensional tensor space, constructing a real value tensor model, and performing iterative operation to obtain a CSI feature vector; performing fractional order wavelet transform decomposition on the CSI feature vector to obtain a radio frequency feature set, and inputting the radio frequency feature set into a federal fractional scattering network for feature processing to obtain an identity authentication result; and calculating an amplitude-phase weight coefficient of the antenna array, generating a beam parameter, and performing compensation matrix operation on the beam parameter according to the CSI feature vector to obtain a pre-coded signal. According to the invention, the dynamic adjustment of the antenna beam parameters is realized, and the accuracy and anti-interference capability of beam forming are improved.

The invention relates to a high-single-mode ultra-low-loss hollow-core anti-resonance optical fiber which comprises an outer cladding and an inner cladding, the inner cladding is composed of nested structure units, the nested structure units are arranged in the circumferential direction of the inner wall of the outer cladding and are connected with the inner wall of the outer cladding, a fiber core is formed by a central cavity wrapped by the inner cladding, and the fiber core is connected with the inner cladding through the nested structure units. The embedded glass tube is characterized in that each embedded structure unit comprises three or more layers of embedded glass tubes with different radiuses, at least one embedded glass tube with at least one layer of embedded glass tubes deflects towards one side relative to the adjacent outer embedded glass tube, and the deflection included angle is 5-55 degrees. According to the invention, through the change of the cladding structure, the reasonable nested structure unit shape capable of being prepared, the optimized nested size combination and the deflection of the embedded glass tube, the leakage loss of the LP11 mode is obviously improved, the influence on the fundamental mode performance is small, and finally the single-mode performance of the optical fiber is effectively improved.

The invention relates to a high-single-mode low-loss hollow-core anti-resonance optical fiber which comprises an outer cladding and an inner cladding, the inner cladding is composed of nested structure units, the nested structure units are arranged in the circumferential direction of the inner wall of the outer cladding and are connected with the inner wall of the outer cladding, a fiber core is formed by a central cavity wrapped by the inner cladding, and the fiber core is connected with the inner cladding through the nested structure units. The nesting structure is characterized in that each nesting structure unit comprises two layers of nesting glass tubes with different radiuses, the nesting glass tubes comprise outer nesting glass tubes and inner nesting glass tubes, at least one inner nesting glass tube deflects towards one side relative to the outer nesting glass tube where the inner nesting glass tube is located, and the deflection included angle ranges from 5 degrees to 55 degrees. According to the invention, through the change of the cladding structure, the reasonable nested structure unit shape capable of being prepared, the optimized nested size combination and the deflection of the embedded glass tube, the leakage loss of the LP11 mode is obviously improved, the influence on the fundamental mode performance is small, and finally the single-mode performance of the optical fiber is effectively improved.

The invention discloses a digital twin-driven photovoltaic module monitoring and self-purification system, belongs to the technical field of photovoltaic module cleaning, and realizes intelligent management and maintenance of a photovoltaic system through mutual cooperation of a sensing layer, an information capturing layer, an information transfer layer, an intelligent analysis layer, a decision support layer and an interactive experience layer. The sensing layer deploys various sensors to collect key data of the photovoltaic module; the information capturing layer transmits the data to a back-end processing system in real time; the information transfer layer ensures efficient transmission of data in the system; the intelligent analysis layer predicts a maintenance demand by using a machine learning algorithm, realizes predictive maintenance, and maintains the optimal working state of the component through an intelligent cleaning mechanism; the decision support layer provides decision support based on data analysis for an operator of the photovoltaic power station, and optimizes a maintenance plan and a productivity plan; and the interactive experience layer provides a visual management interface, so that the component state can be remotely monitored conveniently.

The invention belongs to the technical field of magnetic confinement controllable thermonuclear fusion, and particularly relates to an in-situ laser diagnosis system and method for plasma fuel thermal desorption / impurity deposition in a wall material. The long-pulse laser module emits a long-pulse laser beam, and the long-pulse laser beam sequentially passes through the dichroscope I, the convex lens, the dichroscope II and quartz glass on the vacuum chamber and is irradiated to the surface of the sample to be detected; the short-pulse laser module emits a short-pulse laser beam, and the short-pulse laser beam sequentially passes through the dichroscope I, the convex lens, the dichroscope II and quartz glass on the vacuum chamber of the fusion device and is irradiated to the surface of the sample to be detected; the irradiated radiation light of the to-be-detected sample sequentially passes through the focusing lens, and a spectral signal is transmitted to the spectrum acquisition system. According to the system, high-efficiency in-situ laser thermal desorption can be carried out on fuel gas retained in a wall material, in-situ laser diagnosis of impurity deposition can also be carried out, the two methods are flexibly coupled into one set of system and can be independently used or simultaneously carried out, and a reference basis is provided for fusion reactor divertor operation control and wall material research and development in the future.

The invention discloses an intelligent monitoring and early warning method and system for a cofferdam construction process, and belongs to the field of intelligent monitoring, and the early warning method comprises the steps: collecting historical hydrological and geological data, constructing a hydrological-geological database, marking risk factors, and determining hydrological and geological risk types and safety thresholds. Then, key monitoring parameters are determined according to the cofferdam type, unique IDs are distributed to the sensors, and sensor data are integrated to network transmission nodes; and after the data is transmitted to the data processing center, the data is decompressed and compared with hydrological-geological data, and a sensor data weight coefficient is calculated. A cofferdam construction early warning model is constructed based on the data, early warning conditions are screened step by step through weight coefficients and risk factors, and construction early warning evaluation parameters are formed. And finally, risk identification and probability early warning are carried out on the construction process in combination with real-time data, so that the construction safety is improved. According to the method, the accurate cofferdam construction early warning model is constructed, so that the accuracy of construction risk prediction is improved.

The invention relates to the technical field of data storage, and discloses a lossless compression algorithm-based data storage method, which comprises the following steps of: receiving to-be-stored data through a data interface, automatically identifying a data format by using a data analysis tool, and performing feature analysis to obtain the size, the type and the complexity of the data; through deep analysis of data features, the method can flexibly select a proper Huffman coding processing mode, and optimizes a compression process according to different data types and complexity. In addition, a context modeling optimization mechanism is introduced, the coding mode is dynamically adjusted, and the compression ratio and the storage efficiency are further improved; efficient storage and reliability verification of data are ensured through a block storage strategy in combination with metadata management; the problem that an existing compression algorithm is low in efficiency is solved, the integrity and reliability of data storage are improved, and the method is suitable for storage requirements of large-scale data and diversified data.

The invention relates to the technical field of enterprise cloud management, and discloses an ERP enterprise cloud management system, which comprises a system main body deployed based on a cloud computing architecture, the system main body is integrated with a financial management module, an inventory control module, a purchase management module, a sales management module, a production plan module, a human resource management module and a customer relationship management module, and data interaction interfaces and cooperative work mechanisms are arranged among the modules; data are stored by the cloud storage unit, and a data processing task is executed by the cloud operation unit. The ERP enterprise cloud management system breaks data barriers among departments of an enterprise, integrates core modules of financial management, inventory control, purchase management, sales management, production planning, human resource management, customer relationship management and the like, ensures the accuracy and consistency of data, and realizes the cloud management of the enterprise through a data sharing function. All the modules can obtain needed data and information in real time, and seamless transmission and cooperative work of the information are achieved.

The invention discloses a CIM-based pipeline state intelligent monitoring method, system and equipment and a medium, belongs to the technical field of urban infrastructure management, and aims to solve the technical problem of how to realize comprehensive, real-time and intelligent monitoring and management of the pipeline state of an underground pipe network, automatically analyze potential risks and abnormities and improve the management efficiency of the underground pipe network. In order to improve the management efficiency and level of the pipeline state of the underground pipe network, the adopted technical scheme is as follows: constructing a data acquisition and transmission network: constructing the data acquisition and transmission network by deploying multiple types of sensors along the pipeline, and obtaining and transmitting the real-time operation data of the pipeline; preprocessing data and constructing a model: preprocessing the pipeline operation data, and constructing a precise three-dimensional model of the pipeline by using a CIM (Common Information Model) technology; and intelligent analysis and prediction: in combination with big data analysis and data mining technologies, deep analysis and prediction of pipeline operation data are realized, and potential risks are identified and early warned.

The invention discloses a vehicle-mounted tire pressure sensor rapid programming and automatic positioning method and related equipment, and the method comprises the following steps: respectively transmitting low-frequency programming signals to a preset number of tire pressure sensors; controlling a tire pressure sensor to transmit a high-frequency response signal to a tire pressure receiver; writing the high-frequency response signal into a program code corresponding to the tire pressure sensor, and generating a one-to-one corresponding unique identity; respectively transmitting low-frequency positioning signals to a preset number of tire pressure sensors; generating status words in one-to-one correspondence according to a preset corresponding relation and the unique identity; a preset number of tire pressure sensors are controlled to send corresponding status words to a tire pressure receiver; controlling the tire pressure sensor to identify the status word to obtain corresponding real-time pressure data, and determining position information corresponding to the tire pressure sensor according to the unique identity; and displaying the real-time pressure data and the position information corresponding to the preset number of tire pressure sensors in a preset display screen. The method is used for improving the programming efficiency and the positioning accuracy of the tire pressure sensor.

The invention provides a device and a method for testing thermal deformation of a reflector, and relates to the technical field of optical assembly, calibration and detection.The testing device comprises an interferometer, a three-comprehensive test box, a standard plane reflector, first window glass, second window glass and a holographic original, firstly, the thermal deformation of the window glass on the two sides in the three-comprehensive test box is measured; measuring the thermal deformation of the reflector to be measured, analyzing and calculating the surface shape error caused by two times of thermal deformation to obtain the Zernike polynomial coefficient value of the reflector to be measured, and obtaining the surface shape value of the reflector to be measured through fitting analysis, namely the thermal deformation of the reflector to be measured. The problems that in the prior art, the surface shape change condition in the actual load working environment is difficult to accurately measure and the influence of window glass on the reflector to be tested is difficult to accurately measure are solved, the testing precision is improved, and in addition, the surface shape error of the reflector to be tested can be quantitatively analyzed through all Zernike polynomial coefficient values in the testing result.

The invention relates to the technical field of robots, in particular to a linear driving device and a robot, the linear driving device comprises a device body, a reduction gearbox and a multi-stage linear transmission section are arranged on the device body, and a transmission mechanism and a synchronous belt mechanism are arranged in the device body; the reduction gearbox can drive the transmission mechanism to rotate; the transmission mechanism can drive the synchronous belt mechanism to advance; the synchronous belt mechanisms comprise the first synchronous belt mechanism and the second synchronous belt mechanism, and the first synchronous belt mechanism and the second synchronous belt mechanism can stretch into the multi-stage linear transmission section, are connected with the multi-stage linear transmission section and can drive the multi-stage linear transmission section to stretch out and draw back. A supporting structure is arranged in the multi-stage linear transmission section, so that sectional type multi-stage arrangement is adopted in a linear part, and stretching and retracting can be realized during working so as to be stored in a very small space; by arranging the first synchronous belt mechanism and the second synchronous belt mechanism which are oppositely arranged, transmission failure caused by unilateral instability can be effectively avoided.

The invention discloses a power meter reading concentrator remote upgrading system and method based on a 4G communication module. The system comprises a power meter reading concentrator, a remote server, a management terminal and a security authentication module. The concentrator is internally provided with a 4G communication module and establishes secure communication with a remote server through a 4G network, so that remote upgrade of firmware or software is realized. The system adopts block transmission and breakpoint resume technologies, and it is ensured that the upgrade package can still be efficiently and completely transmitted under the condition that the network is unstable. In the upgrading process, SSL / TLS encryption is adopted for data transmission, and safety is guaranteed; meanwhile, the system has self-checking and rollback functions, and it is ensured that the system automatically recovers to a safe state when upgrading fails. According to the invention, the upgrading and maintenance efficiency of the electric power meter reading system is remarkably improved, the operation and maintenance cost is reduced, and the reliability and safety of the system are improved.

The invention discloses a performance detection device for an automobile brake pad in the technical field of automobile brake pad detection. Comprising a controller, a tire, a detection body and two brake pads, a detection groove is formed in the top of the detection body, a water inlet pipe and a water outlet pipe are arranged on the surfaces of the two sides of the detection body respectively, and a first electromagnetic valve and a second electromagnetic valve are arranged on the water inlet pipe and the water outlet pipe respectively and electrically connected with the controller; a rotating assembly and a brake assembly are installed in the detection groove, an air blowing assembly is installed on the inner wall of the detection groove, and a signal assembly is installed at the bottom of the detection groove. The rotating assembly, the brake assembly, the air blowing assembly and the signal assembly are electrically connected with the controller. The device is simple and easy to operate, through cooperative work of the detection body, the water inlet pipe, the water outlet pipe, the rotating assembly and the brake assembly, performance indexes of the brake pad can be detected under the conditions of simulating road surface ponding, muddy road sections and the like, and therefore detection data are more reliable and scientific.

The invention relates to the field of precursor material drying, and provides a drying device capable of continuously processing a precursor material, comprising: a mounting table; the housing is fixedly arranged on one side of the upper part of the mounting table; a discharge hole is obliquely formed in the upper part; the air guide volute is fixedly connected to the lower end part of the housing, and an air inlet pipe is arranged at a volute tongue of the air guide volute; and the shunting turbofan is arranged in the air guide volute and consists of an upper side plate, a lower side plate and a plurality of arc-shaped fan blades which are uniformly arranged in the side plates at intervals. A precursor material is sprayed into the drying equipment in a mist shape through the spraying mechanism, continuous feeding of materials with different moisture contents is achieved for continuous processing, the phenomena of agglomeration and drying scaling of the materials when the materials enter the drying area of the equipment are effectively reduced, meanwhile, heat discharged during drying is recycled through the heat recovery pipe, and the energy consumption is reduced. And while the production energy consumption is reduced, the product granularity and granularity distribution are effectively controlled, and the drying uniformity is ensured.

The invention discloses a quantum router for an ultra-secure communication network, and relates to the technical field of quantum communication and networks. The system comprises a quantum key distribution module which is used for generating and distributing quantum keys between two communication parties, and is used for encrypting and decrypting transmitted information; the quantum entanglement state generation and management module is used for generating and managing quantum entanglement pairs and supporting transmission and management of the quantum entanglement pairs among different network nodes; the quantum routing module is used as a core processing unit of the system and is responsible for analyzing the received quantum information and selecting an optimal transmission path according to a preset algorithm; the quantum error correction and protection module is used for applying a quantum error correction code and a quantum state protection mechanism in the information transmission process to prevent the quantum state from being damaged by external environment and equipment defect interference; and the classic control channel module is used for transmitting classic control signals, cooperating with routing and management of the quantum information, and providing a feedback mechanism to realize real-time monitoring and dynamic adjustment of the quantum information transmission process.

The invention discloses a scene-based data accurate desensitization virtual power plant user privacy protection method. The method comprises the following steps of: firstly, setting different desensitization intensities according to the sensitivity of data through a hierarchical desensitization method, and selecting different desensitization technologies to perform encryption processing or access control according to the use and use scene requirements of the data, so as to realize privacy protection and accurate desensitization; secondly, accurately identifying sensitive information in the data by adopting a sensitive attribute identification module, and matching proper desensitization intensity and strategy for the sensitive information; then, data hierarchical storage and encrypted transmission are adopted, and it is ensured that data of different hierarchies are properly protected; finally, a reasonable access control strategy is set according to different scenes and data sensitivities, unauthorized access and abuse are avoided, and meanwhile the accurate desensitization efficiency is optimized. According to the method, an efficient and safe solution is provided for user privacy protection in the virtual power plant by combining hierarchical desensitization, sensitive attribute identification, Merkle tree storage, encryption transmission and attribute-based access control.

The invention discloses a multi-dimensional constellation diagram mapping enhanced orthogonal chirp multiplexing optical transmission sending method, receiving method and system in the field of optical communication. The method comprises the following steps: a sending end converts data to be transmitted into an original signal bit stream; mapping through a preset four-dimensional constellation diagram model to generate a four-dimensional constellation point coordinate sequence, and dividing the four-dimensional constellation point coordinate sequence into two different branches; respectively carrying out OCDM modulation on the four-dimensional constellation point coordinate sequences on the two branches to generate two time domain sending signal sequences; performing power distribution and superposition on the time domain sending signal sequence to form a final sending signal; and a receiving end receives the sending signal from the channel, performs OCDM demodulation on the sending signal, recovers constellation point signals in the two branches by using a serial interference cancellation technology, and obtains an original signal bit stream through demapping of the four-dimensional constellation diagram model. According to the invention, the problems of selective fading of signal frequency and overlong CP in DD-OFDM can be solved.

The invention discloses an intelligent data acquisition method and equipment based on a front-end monitoring SDK (Software Development Kit) and a medium, and relates to the technical field of front-end monitoring of Web applications. The method comprises the steps that when a Web application page is loaded, a front-end monitoring SDK script is introduced through an external file label, and preset data collection logic in the front-end monitoring SDK script is loaded; wherein the data acquisition logic comprises performance data acquisition logic, user behavior data acquisition logic and error log acquisition logic; when a Web application page runs, intelligent data acquisition is carried out through a preset idle time data scheduling mechanism in a front-end monitoring SDK script; the method comprises the following steps: determining to-be-uploaded data through a preset incremental data uploading mechanism in a front-end monitoring SDK script, and intelligently compressing the to-be-uploaded data; and dynamically selecting a data uploading strategy based on the real-time network condition so as to upload the compressed to-be-uploaded data to a data server.

The invention discloses a carbon ceramic composite conductive microsphere, a ceramic resistor and a preparation method, and belongs to the technical field of production of special materials of electrical equipment, and the method comprises the following steps: sequentially dipping porous mullite in a precursor solution of carbon and slurry containing carbon black, and carrying out drying treatment and carbon burying sintering to obtain the carbon ceramic composite conductive microsphere; the preparation method comprises the following steps: preparing a ceramic raw material, performing vacuum-assisted centrifugal impregnation on the ceramic raw material and slurry consisting of a binder in pug consisting of the ceramic raw material and a surfactant, sequentially performing drying and glue discharging treatment, primary isostatic pressing forming and air pressure sintering, cooling to room temperature, and performing mechanical treatment and electrode spraying to obtain the ceramic resistor. Impregnation improves the dispersibility and uniformity of the carbon material in the porous mullite to form a continuous conductive path, the carbon black-containing slurry improves the conductivity of the ceramic resistor, carbon-buried sintering generates in-situ carbon with abundant types, the combination of carbon and a ceramic interface is promoted, and the oxidation resistance, mechanical properties and electrical properties of the ceramic resistor are improved.