439 results about "Fiber network" patented technology

The invention discloses a distributed computing task non-perception migration method and system under optical fiber network interruption. The distributed computing task non-perception migration method comprises the following steps: constructing a distributed task migration system and an output system architecture; collecting network state indexes, constructing a network topological graph, and analyzing the state of an optical fiber link for fault prediction; obtaining a calculation task operation state, establishing a sub-task mapping relation, constructing a directed dependency graph, and generating a state snapshot; analyzing resource requirements, reserving standby resources, and deploying a distributed cache system; analyzing a fault influence range, extracting an influenced calculation sub-graph, and selecting a migration target node; in a target node preloading environment, reconstructing an execution context, and redirecting a communication path; and setting a data change capture mechanism, synchronizing incremental data and executing consistency verification. According to the method, non-perception migration of the computing tasks is realized, task continuity and data consistency are guaranteed, and the reliability of the distributed computing system in an optical fiber network fault scene is improved.

The invention discloses a panel vertical seam water stop structure repair effect evaluation method, which comprises the following steps of: firstly, synchronously obtaining surface crack and internal defect data through cooperative detection of infrared thermal imaging and ultrasonic flaw detection; and carrying out space alignment on point cloud data generated by three-dimensional laser scanning and an ultrasonic detection result, and establishing a BIM model containing a crack three-dimensional form. A practical engineering environment is simulated in a laboratory to carry out material accelerated aging and test key indexes such as an elastic recovery rate, a base surface state is evaluated through a temperature and humidity sensor array in a construction stage, a six-axis grouting robot is adopted to execute accurate filling, a curing process is monitored by a synchronous pre-embedded optical fiber sensor, and after aging is simulated by combining a hydraulic test with climate, a construction period is shortened. A distributed optical fiber network is used for continuously collecting deformation data, a comprehensive evaluation model is constructed based on mechanics, durability and sealing indexes, and finally material selection and process parameters are optimized through machine learning.

The invention discloses a multi-operator optical fiber network fault diagnosis method and device, equipment and a medium, and relates to the technical field of deep neural networks, and the method comprises the steps: constructing a three-dimensional digital twin model, and carrying out the parameter correction of the three-dimensional digital twin model; acquiring open source library data and operation and maintenance data of a plurality of operators to generate a cross-operator network asset database; respectively deploying the corrected three-dimensional digital twin model to each operator so that the operator can calculate corresponding model training parameters; acquiring all model training parameters, training the graph neural network model based on the model training parameters, and judging whether the trained graph neural network model is converged or not; if convergence occurs, inputting the cross-operator network asset database into the trained graph neural network model to predict an optical fiber network fault point; the fault report and the repair scheme are generated based on the optical fiber network fault points, the accuracy of multi-operator optical fiber network fault diagnosis is improved, and the cross-operator cooperation efficiency and the user experience feeling are improved.

The invention discloses an underground gas storage gas monitoring method and system based on optical fiber spectrum analysis. The method comprises the following steps: S1, optical fiber network deployment: arranging a corrosion-resistant optical fiber sensor network in a gas storage; s2, spectral data acquisition: transmitting light with a specific wavelength to a gas chamber at the tail end of an optical fiber through a Fourier transform infrared spectrometer, and acquiring a transmitted spectrum after interaction of gas and light; s3, spectrum decoupling and concentration calculation: based on a peak pattern fitting algorithm of the Lambert-Beer law, decoupling the infrared spectrum characteristics of the mixed gas, matching a standard spectrum database, and calculating the concentration of each gas component; s4, constructing a three-dimensional gas model: according to the position of the optical fiber sensor and the gas concentration data, establishing a gas migration model to predict a leakage position and a movement direction; according to the method, the trend, the component distribution, the concentration change and the potential leakage risk of the gas in the storage are effectively evaluated, and technical support is provided for the safety, the effectiveness and the economical efficiency of operation of the gas storage.

In some embodiments, a fiber optic cable may be monitored while reducing false positives from disturbances in trusted areas. In some embodiments, a system includes a light source, a first remote termination unit in a trusted area, and a second remote termination unit in another trusted area. The light source emits light through the fiber optic cable, which passes through the first remote termination unit, an untrusted area, and then the second remote termination unit. The remote termination units reflect portions of the light back towards the light source. The system uses a prediction model to detect disturbances in the untrusted area based on the reflected light data.

The invention discloses an ultra-flexible stretchable dimming film and a preparation method thereof, and relates to the technical field of dimming films, and the ultra-flexible stretchable dimming film comprises an upper transparent electrode layer, a dimming function layer and a lower transparent electrode layer which are sequentially stacked from top to bottom; the preparation method comprises the following steps: 1) preparing a main matrix material / ultraviolet curing resin mixture; 2) assembling the dimming film; and 3) ultraviolet light curing. According to the invention, through surface phosphonic acid functionalization treatment, covalent bond anchoring of cerium oxide nanoparticles is realized on a thermoplastic polyurethane fiber network; by constructing a full-thermoplastic polyurethane material system, the breakthrough of interfacial compatibility between a fiber reinforced phase and a polymer matrix is realized, so that the film has high tensile strain capacity and excellent fatigue resistance on the premise of keeping high transparency.

This application relates to a communication method and apparatus. The method includes: A first SMF network element receives first information from a PCF network element, where the first information includes an identifier of a first dedicated data network to which a terminal device subscribes; the first SMF network element sends a first request including the identifier of the first dedicated data network to a second SMF network element that supports the first dedicated data network; the first SMF network element receives, from the second SMF network element, a first response including second tunnel information of a second UPF network element, where the second UPF network element is a UPF network element selected based on the first dedicated data network; and the first SMF network element sends second information to a first UPF network element, where the second information includes the second tunnel information and a first traffic steering rule.

The invention discloses an optical fiber network intelligent regular checking and fault closed-loop processing system, method and device, and belongs to the technical field of optical fiber communication network intelligent operation and maintenance. The method comprises the following steps: collecting and fusing multi-source heterogeneous data such as resource management, fault network management, distributed sensing and geographic information; a multi-modal model based on a convolutional neural network and a graph neural network is utilized to analyze fusion data, meter-scale accurate positioning of faults is achieved, and a regular inspection plan is dynamically optimized by adopting a long and short-term memory network model; and based on an analysis decision result, a fault list, a mode list and a maintenance list are automatically created, circulated and associated, and a whole-process closed loop from diagnosis list sending to repair verification is realized. According to the scheme, the problems of data dispersion, single analysis dimension and lack of closed loop in the process in the prior art are solved, and the accuracy, efficiency and automation level of optical fiber network operation and maintenance are remarkably improved.

The invention relates to an intelligent dynamic negative pressure and phototherapy integrated burn wound treatment device, and belongs to the technical field of medical instruments, the device comprises a contact layer, a conduction layer and a honeycomb support layer, the contact layer drains exudate, the conduction layer is integrated with an optical fiber network and a self-adaptive deformation mechanism, and the honeycomb support layer is connected with an intelligent negative pressure chamber and a gradient sterilization system. The pressure of the negative pressure chamber is dynamically adjusted through a corrugated air bag and a rhombic telescopic unit, and the photo-thermal assembly irradiates the wound surface in a time-sharing mode and maintains the constant temperature. And the sterilization system adopts ultraviolet pulse and a multi-stage filter screen to cooperatively purify the percolate. The intelligent regulation and control module optimizes treatment parameters in real time through a multi-mode sensing network, and full-closed-loop cooperation of negative pressure, phototherapy and sterilization is achieved. According to the device, the limitation of traditional treatment is broken through through integrated design, the wound repairing quality and the anti-infection capacity are remarkably improved, meanwhile, the medical care burden is reduced through modular expansion and a non-invasive monitoring function, and an efficient and safe intelligent solution is provided for burn management.

The invention discloses a detection system for water level data and geological data of a weakly cemented coal seam, and belongs to the technical field of mine safety monitoring. Comprising a hardware layer and an algorithm layer, the hardware layer constructs a water surface-water body-water bottom three-in-one dynamic monitoring system, and the algorithm layer fuses multi-source data through a physical information neural network to realize global water bottom DEM inversion and dynamic early warning. And the physical information neural network inverts the global underwater DEM in a data driving item and physical driving item joint optimization mode by performing space-time alignment on the sonar point cloud, the unmanned aerial vehicle water level data and the optical fiber strain gradient and then performing weighted fusion. Sonar, optical fiber and water level data are fused through a PINN model, the crack recognition capacity is improved, and the side-scan sonar can detect cracks with the width larger than or equal to 2 cm; second-level data acquisition is achieved through the optical fiber sensor, the water inrush early warning response time is shortened, the response speed is increased, and the sonar sounding error is still controlled within 5 cm. The system robustness is increased, and the double-ring optical fiber network reduces the single-point fault influence range.

The invention discloses an optical domain reflection and machine learning fusion device for optical fiber network fault positioning, and relates to the technical field of optical fiber network fault positioning. According to the invention, the fine reflection characteristics of the optical fiber network are captured by using the synergistic effect of the optical signal transmitting unit and the receiving unit; the signal processing module and the data acquisition unit ensure the data quality through efficient filtering and feature extraction; the machine learning analysis module automatically identifies and classifies fault modes based on a convolutional neural network model, and overcomes the limitation of a traditional method; the fault positioning unit combines algorithm output to calculate accurate position coordinates; seamless coordination between modules is realized through a control interface, and the response efficiency of the system is improved; the display output module provides a visual result, which is convenient for operators to monitor in real time; the power supply control unit optimizes energy management, ensures stable operation of the device and saves energy in idle time, thereby remarkably improving the accuracy, efficiency and reliability of fault positioning, and reducing the maintenance cost.

A device for checking coverage of a fiber optic link of a fiber optic network, the fiber optic link configured to connect an apparatus of a telecommunications service provider and terminal equipment within the fiber optic network, may include: a processing unit; a positioning unit; a modem unit; and a connection enabler. The modem unit may be configured to connect to the fiber optic link at the terminal equipment and may be configured to retrieve data indicating that the fiber optic link is established. The positioning unit may be configured to provide geographical coordinates of the device. The processing unit may be configured to provide encrypted data by encrypting the data indicating that the fiber optic link is established and the geographical coordinates of the device. The connection enabler may be configured to transmit the encrypted data to a coverage checking server via a mobile communication network.

The invention relates to a service processing method, device, system and equipment of a passive optical fiber network, a storage medium and a program product, and relates to the field of network technology and security technology. According to the application, the flexibility of service processing can be improved, and the service-level network elasticity capability which is flexible as required is provided. The method comprises the following steps: determining a second service channel corresponding to a second service category identifier and a target dynamic bandwidth allocation rate template corresponding to the second service channel; the second service type identifier corresponds to a second network service business added on the basis of the first network service business; the second service category identifier is different from a first service category identifier corresponding to the first network service business; the second service channel is different from the first service channel corresponding to the first service type identifier; the first service channel and the second service channel are service channels established between the optical network unit and the optical line terminal; and processing service data corresponding to the second service category identifier according to the second service channel and the target dynamic bandwidth allocation rate template.

The invention belongs to the technical field of reservoir bank collapse monitoring and early warning, and particularly relates to a reservoir bank collapse real-time early warning system and method based on multi-source data collaboration. The system comprises a distributed optical fiber sensing network, a micro borehole clinometer array and an edge computing terminal, the edge computing terminal comprises a data acquisition module, a data processing module, a model computing module and an early warning module, and the model computing module adopts a dynamic prediction model cooperatively driven by a physical mechanism model and a deep reinforcement learning algorithm. And the pre-warning module analyzes and predicts the data preprocessed by the data acquisition module, and outputs a visual risk cloud picture and a graded pre-warning signal according to a prediction result and a self-adaptive pre-warning threshold algorithm. According to the invention, the strain and temperature information of the bank slope is monitored through the distributed optical fiber network, the change of inclination angles at different depths in the bank slope is monitored through the micro borehole inclinometer array, data fusion and analysis processing are carried out through the edge computing terminal, and finally real-time monitoring and early warning of the bank collapse risk are realized.

The invention discloses a branch optical fiber fault detection method, device and equipment and a storage medium, and relates to the technical field of fault detection, and the disclosed branch optical fiber fault detection method comprises the steps: obtaining multi-source data of a branch optical fiber network; the multi-source data is input into a fault analysis model for processing to obtain a fault analysis result, the fault analysis model comprises a time sequence anomaly detection module, a graph neural network reasoning module and a knowledge graph enhancement module, the time sequence anomaly detection module carries out anomaly monitoring on the multi-source data, and the knowledge graph enhancement module carries out graph neural network reasoning on the multi-source data; when abnormal data is detected, the graph neural network reasoning module and the knowledge graph enhancement module are triggered to carry out collaborative root cause analysis; and outputting a fault analysis result. The method can improve the fault detection efficiency of the branch optical fiber.

The invention relates to the technical field of space telescope calibration, in particular to a telescope pointing calibration method based on optical fiber interconnection, which comprises the following steps: providing reference light beams in different directions, enabling each lens to correspondingly receive the reference light beams by adjusting the lens pointing, splitting the reference light beams received by the lenses through an optical splitter, and obtaining a split beam; one beam is aligned and corrected through a camera, and the other beam is coupled into an optical fiber to record direction information; the calibration light beams are reversely emitted by the optical fiber through the optical switch and are emitted by the lens, each reference light beam in the known direction is reproduced, a reference light field is formed, the telescope to be calibrated is placed in the reference light field, the miss distance of each calibration light beam in the known direction on the mirror surface of the telescope to be calibrated is measured, and the pointing error is calculated and corrected according to the miss distance. The optical fiber network is used for establishing the unique mapping relation between the space direction and the optical fiber channel, miss distance measurement is carried out through dynamic time-sharing reproduction, and the problems of mechanical accumulative errors and the like existing in a traditional mechanical calibration method are solved.

The invention relates to the technical field of bridge pier construction guidance and monitoring, in particular to an intelligent sensing type expanded pier and a construction method. The expansion pier comprises an optical fiber network system and an intelligent steel mold, and the optical fiber network system comprises armored optical fibers and reinforced protection optical fibers special for a normal water level, is embedded in an expansion section and is fixed to a steel reinforcement framework; pressure, displacement and three-dimensional positioning sensors are arranged in the intelligent steel mold, and the intelligent steel mold is connected with a construction monitoring platform through a wireless transmission module. The method comprises the steps of planning an optical fiber path based on original bridge pier stress analysis, customizing and calibrating an intelligent steel mold containing a sensor, pouring concrete and monitoring and adjusting parameters in real time after the steel mold is assembled, embedding optical fibers when the concrete is poured to a preset elevation, and regularly collecting optical fiber data and establishing a health model in a bridge operation stage. Structural expansion and health monitoring are deeply fused, the construction quality is managed and controlled in real time, the operation risk is early warned in advance, data support is provided for intelligent bridge management and maintenance, the service life of a bridge is prolonged, and the whole life cycle cost is reduced.

A furcation subassembly for carrying optical fibers includes a primary fanout tube configured to receive a connector. The subassembly includes a plurality of secondary fanout tubes to carry at least one optical fiber and configured to receive a connector. The furcation subassembly further includes a furcation housing having a body with opposing ends. The ends receive the primary fanout tube and the secondary fanout tubes. The body includes a first stop and a second stop. The stops define a predetermined distance between ends of the primary fanout tube and each second end of each secondary fanout tubes. A method of manufacturing a cable harness includes stripping the primary fanout tube and inserting the primary fanout tube into the furcation housing. The method includes stripping the secondary fanout tubes and bundling each of the secondary fanout tubes. The method includes inserting the plurality of secondary fanout tubes into the furcation housing.

The invention relates to the technical field of optical fiber fault detection, in particular to a health monitoring system and method for a water diversion engineering optical fiber network, and the system comprises a sensing module which is used for synchronously collecting optical fiber environment parameters through an edge calculation node and a multi-source sensor array; the transmission network construction module is used for carrying out short-distance networking and constructing a backbone transmission network by adopting an industrial grade PON (Passive Optical Network) optical fiber network; the cloud management platform is used for preprocessing the data acquired by the transmission network construction module; inputting the preprocessed data into a preset D-S evidence theory fusion model to obtain an early warning trigger signal; and the fault classification module is also used for carrying out fault positioning and classification through the trained fault classification model after the edge node detects an abnormal signal, and outputting a fault position and a fault type. According to the invention, the problems of insufficient real-time performance and incapability of dealing with sudden faults in the prior art can be solved; the positioning precision and the fault identification capability are limited; the long-distance deployment cost is high; and the management complexity is high.

The invention discloses a semi-physical simulation system and method for an aircraft with variable wings, and belongs to the technical field of semi-physical simulation of variant aircrafts. The method comprises the steps that a PC upper computer builds a model and monitors the process; the real-time simulation computer is connected with all the devices through the optical fiber reflection memory network and executes trajectory calculation, pneumatic processing, airfoil profile reconstruction and deformation control strategy generation. The three-axis servo turntable loads inertial navigation equipment and tracks pose information; the wind tunnel applies an aerodynamic load to the deformed wing; the STM32 driving system realizes multi-stage motor cooperative control; the measuring system acquires deformation data in real time through a laser displacement sensor, a strain gauge array and a coding disc; the flight control system generates a rudder control and deformation instruction; and the annular cascade optical fiber network realizes multi-protocol conversion. Physical deformation wings are integrated into semi-physical simulation, collaborative testing of flight control, deformation control and an aircraft body structure is achieved, deformation interference resistance and flight safety research are supported, and a foundation is laid for optimization and test flight of the wing-variable-bending aircraft.

The invention discloses an ionic rare earth ore leaching liquid flow direction dynamic monitoring method based on cooperation of an active seismic source and a distributed optical fiber, and belongs to the technical field of ionic rare earth ore mining. The method comprises the following steps: determining a layout scheme of an active seismic source and a distributed optical fiber network; arranging a corresponding active seismic source and a distributed optical fiber network; exciting the active seismic source array to collect a rock-soil body background signal; injecting liquid through the liquid injection pipeline, and emitting elastic seismic waves with preset frequency and amplitude through the active seismic source; the distributed optical fiber network collects a strain fluctuation signal and an active seismic source response signal in real time; carrying out real-time signal data preprocessing and feature extraction; carrying out data processing to realize wave velocity-strain field joint inversion; and comprehensively analyzing to obtain the diffusion direction of the leaching solution. According to the method, reference is provided for scientific arrangement of liquid collecting systems such as horizontal drill holes and liquid collecting roadways, the recovery rate of the mother liquid in the ore leaching process is further increased, and pollution to the environment due to the fact that the ore leaching liquid permeates into underground water is reduced.

The invention discloses a treatment method for improving thermal cycle cracking of an electric heating anti-icing device. Belongs to the technical field of surface treatment. Thermoplastic polyurethane is prepared on a metal substrate as a matrix, aminated carbon fibers are directionally arranged in the matrix to form a conductive enhancement layer, a heat stabilizer and an anti-hydrolysis agent are added into the conductive enhancement layer, and a hydrophobic layer is arranged on the surface of the conductive enhancement layer. Based on an electrostatic spinning technology and a carbon fiber modified conductive fiber network structure, through material-structure-function collaborative design and through electrostatic spinning electric field force driving, electrostatic spinning parameters are optimized, fiber directional arrangement is achieved, meanwhile, aminated carbon fibers are arranged in a polyurethane matrix, the interface bonding force is improved, and the resistivity is effectively reduced; and good heating power density under low working voltage is realized.

The invention relates to the technical field of lithium ion batteries, in particular to a high-temperature-resistant lithium battery diaphragm with directionally arranged glass fibers and a preparation method of the high-temperature-resistant lithium battery diaphragm. The method comprises the following steps: firstly, removing impurities such as an infiltrating agent from glass fiber yarns in a 285-400 DEG C heating mode or an ultrasonic washing mode, then uniformly arranging 5-10 microns of glass fiber yarns into a longitudinal glass fiber net at an interval of 1-5 microns in a warping mode, and transferring the longitudinal glass fiber net to a melt-blowing station; transversely spraying PE or PP to the surface of the fiber net through a spinneret plate to form a superfine fiber network, and compounding through a hot pressing roller to obtain glass fiber melt-blown cloth; coating PP / PE / ceramic / aramid fiber / PVDF slurry on the melt-blown cloth, and heating and drying to form a 3-5 micron coating; and carrying out high-temperature hot pressing at 120-160 DEG C for 10-30 seconds, rolling and flattening, and slitting to obtain a finished product. According to the diaphragm, the high temperature resistance and the mechanical strength of the lithium battery diaphragm are remarkably improved through combination of oriented glass fiber reinforcement and a spray melting process, and the requirement of a lithium ion battery on the high temperature resistance of the diaphragm is met.

The present invention relates to a preparation method and application of a composite while-drilling leak-proof agent, and belongs to the field of oil drilling engineering technology. The composite while-drilling leak-proof agent is prepared from the following components in percentage by mass: 20-45% nano-composite particles, 15-35% multi-stage fiber-reinforced network materials, 10-20% intelligent response plugging agent, 5-10% high-temperature resistant additive, 1-5% dispersant, and the balance is deionized water, and the total content of each component is 100%. The composite while-drilling leak-proof agent provided by the present invention introduces a core-shell structured thermosensitive resin to realize a three-dimensional synergistic mechanism of "nano-composite particle filling-multi-stage fiber network bridging-intelligent response curing", thereby realizing efficient and environmentally friendly plugging of ultra-high temperature and high-pressure formations. The success rate of single plugging is increased from 45% to 92%, and the average operation time is shortened by 60%, providing an efficient solution for deep and ultra-deep drilling.

The invention belongs to the technical field of batteries, and particularly relates to a preparation method of a solid lead battery for constructing a sulfuric acid gel solid electrolyte through in-situ polymerization gel forming. Comprising the following steps: mixing a polymeric monomer, a cross-linking agent, a reinforcing component and a sulfuric acid carrier solution, stirring and dispersing to obtain an electrolyte precursor solution; adding the initiation system into an electrolyte precursor solution, uniformly stirring, quickly injecting into a polar plate / partition plate assembly or a to-be-formed battery cell, and standing; performing triggering treatment after infiltration, performing in-situ polymerization and crosslinking to form gel, and curing to obtain a gel solid electrolyte cell; and performing formation, capacity grading and aging treatment on the gel solid electrolyte cell to obtain the solid lead battery. Through a process path of low-viscosity precursor injection-in-situ gel forming in the battery cell-subsequent formation, full infiltration and stable immobilization of electrolyte on a pole plate pore channel and a separator fiber network are realized, so that the risks of liquid leakage and acid mist are reduced, acid layering is inhibited, and the consistency and cycle stability of the battery cell are improved.

The invention discloses a three-dimensional graphene-carbon fiber network and double-phase high-entropy alloy synergistic strengthening and toughening ceramic cutter material as well as a preparation method and application thereof. The material is prepared from the following components in parts by mass: 87.8 to 90.9 parts of aluminum oxide, 8 to 10 parts of AlCoCrFeNi five-element equal-atomic-ratio high-entropy alloy, 1 to 2 parts of carbon fiber and 0.1 to 0.2 part of graphene. The preparation method comprises the steps of preparation of graphene grafted carbon fibers, preparation of AlCoCrFeNi high-entropy alloy powder, preparation of aluminum oxide-high-entropy alloy-graphene grafted carbon fiber composite ceramic powder and spark plasma sintering. The ceramic cutting tool material is used for preparing high-speed cutting tools. According to the preparation method, a plastic toughening mechanism of a double-phase high-entropy alloy is organically combined with a multi-stage toughening effect of a three-dimensional graphene-carbon fiber network, and a composite ceramic material with high hardness and high fracture toughness is obtained through spark plasma sintering, so that the adaptability of a cutter under a high-speed cutting condition is remarkably improved, and the service life of the cutter under the high-speed cutting condition is remarkably prolonged.

The application provides a window drift processing method and an optical line terminal, an optical network unit and a computer readable storage medium. The window drift processing method applied to the OLT comprises the following steps: in the case that a first burst signal corresponding to an ONU is received, first information is determined according to the first burst signal, the first information is used for representing a window drift condition of the first burst signal; a drift domain is constructed according to the first information and the first burst signal; a GTC frame is transmitted to the ONU, so that the ONU corrects the window drift condition of the first burst signal according to the GTC frame, and the GTC frame is filled with the drift domain. In the embodiment of the application, the deviation can be quickly and accurately corrected directly according to the GTC frame, so that the efficiency of correcting the window drift of the burst signal is improved, and the stability of the passive optical fiber network is improved.

This utility model discloses a broadband high-speed photodetector module, including: a housing and a driving circuit. The housing has an internal mounting cavity, a high-speed broadband response photodetector, and is fixed inside the housing via an SMA interface. An OLED display screen is embedded on the front of the housing and connected to the driving circuit via a flexible circuit board. The high-speed broadband response photodetector has a spectral response range of 800nm ​​to 1650nm, fully covering the wavelength requirements of multimode and single-mode optical fibers. It solves the limitations of traditional modules with single wavelength or narrow spectrum, significantly improves compatibility with different optical fiber systems, and is suitable for complex hybrid optical fiber network scenarios. Through the coordinated design of the cylindrical body on the side wall of the housing, the air outlet, and the heat dissipation components, the heat generated by the photodetector during operation can be quickly dissipated, avoiding performance degradation or device damage due to temperature rise, and ensuring long-term stable operation of the module under high-speed and high-load conditions.

The application provides an optical network communication method and a communication device. The method is applied to an optical fiber network, and the optical fiber network comprises a master device and at least one slave device, and the at least one slave device comprises a first slave device. The master device sends a first message to the first slave device, the first message is a wireless local area network management control interface (WMCI) message, the first message is used for managing or controlling a wireless local area network (WLAN) function of the first slave device, and the first message comprises first indication information, the first indication information is used for indicating a time delay requirement or a priority of the WLAN function corresponding to the first message. Since the first indication information in the first message can indicate the priority or the time delay requirement of the first message, the first slave device can decide whether to process the first message preferentially based on the first indication information, so that the bandwidth occupied by low-priority messages or messages with ordinary time delay requirements can be reduced, and the communication real-time performance of high-priority messages or messages with low time delay requirements can be improved.

The invention belongs to the technical field of flexible electronic sensing, and discloses novel leather-based pressure-sensitive sensing electronic skin and a preparation method thereof. According to the leather-based pressure-sensitive sensing electronic skin, tanning-agent-free leather serves as a base material, and a three-dimensional conductive network is constructed in the tanning-agent-free leather base material, so that pressure-sensitive sensing is achieved. The pressure-sensitive sensing electronic skin provided by the invention completely retains a three-dimensional multi-level fiber network structure of natural leather from micrometer to nanometer, so that when the leather-based pressure-sensitive sensing electronic skin is subjected to external pressure, the collagen fiber can realize cross-scale deformation, thereby realizing wide and sensitive response from tiny pressure to higher pressure, and further realizing the purpose of improving the safety of the leather-based pressure-sensitive sensing electronic skin. And human body motion monitoring is realized.