63results about How to "Realize a reasonable distribution" patented technology

The invention relates to a temperature control method, device and equipment of semiconductor equipment and a storage medium. The method comprises the following steps: performing finite element mesh division and modal coordinate transformation on a plurality of temperature control areas of semiconductor equipment to obtain a temperature control area dynamic model; collecting measurement data of a temperature sensor and performing time-frequency domain transformation to generate a temperature prediction data sequence; gaussian mixture modeling is carried out to obtain prior distribution, and temperature parameter probability distribution is obtained; performing sub-domain division on the temperature control range to obtain a temperature inter-domain feature mapping matrix; and a temperature interval thermal coupling coefficient matrix is calculated based on the temperature control area dynamic model, a temperature control objective function is constructed in combination with the temperature prediction data sequence and the temperature inter-domain feature mapping matrix, and a temperature control quantity sequence is solved by adopting a model prediction control algorithm. According to the invention, the accuracy and dynamic response speed of temperature control are improved, and the stability of temperature control and the energy utilization efficiency are ensured.

The invention discloses a network flow directional transmission optimization method, and relates to the technical field of data transmission. Comprising the following steps: establishing a regional priority model based on regional distribution, dynamically adjusting a network link, deploying multi-level cache nodes, determining isolation and multiplexing rules of data traffic, coordinating network resource allocation, establishing a feedback mechanism, and constructing an energy-aware transmission scheduling strategy. According to the network traffic directional transmission optimization method, the flexibility and the accuracy of network traffic scheduling are remarkably improved by setting the combination of a regional priority model and a dynamic link reconstruction mechanism, the transmission efficiency of key service traffic can be guaranteed preferentially, and the network traffic directional transmission optimization method can be used for optimizing the network traffic through real-time link optimization and load prediction. And performance reduction caused by network congestion is avoided. And meanwhile, the low-priority flow is effectively managed, and the reasonable distribution of global network resources is realized. In practical application, the method can greatly reduce the network delay, improve the bandwidth utilization rate and improve the user experience.

The invention, which relates to the technical field of agricultural management, discloses a digital ecological agriculture integrated production and supply coordination system comprising a model establishment unit, a crop growth monitoring unit, a fertilizer reserve prediction unit, a reserve control unit and a supply management unit. According to the invention, plant growth data over the years is obtained through the model establishment unit to draw a historical average seedling height growth cycle curve graph, a reference is provided for subsequent crop growth monitoring, and the crop growth progress is monitored in real time through the crop growth monitoring unit. A fertilizer reserve prediction unit predicts a fertilization node of a current crop according to a historical fertilization node and an environmental influence factor, and then a reserve control unit monitors the fluctuation of a fertilizer price according to the predicted fertilization node and selects a proper price to purchase a required fertilizer in a purchase monitoring period. Therefore, the efficiency and sustainability of agricultural production are improved, and reasonable distribution of funds is realized.

The invention relates to the technical field of geographic information survey, and particularly discloses a geographic information survey calibration method and system, and the method specifically comprises the following steps: 1, obtaining survey data of a to-be-surveyed geographic region, and carrying out the analysis and calculation to obtain a change judgment value; 2, comparing the change judgment value with a change judgment threshold value to obtain a large change degree sub-region; and step 3, based on the obtained large-change-degree sub-region, obtaining survey change information of the large-change-degree sub-region of the historical data, obtaining a change frequency ratio in the historical data, and comparing the change frequency ratio with a change frequency ratio threshold to generate a high-change-frequency signal. By optimizing the surveying period and integrating the surveying area, reasonable allocation of surveying and calibrating resources, improvement of surveying efficiency and calibration and guarantee of surveying accuracy are achieved.

The invention provides a large model content generation auditing method and system based on man-machine collaboration, and relates to the technical field of large models, and the method comprises the steps: deconstructing the generation process data of to-be-audited content, constructing a content risk propagation map, mapping a multi-level auditing strategy library, and recognizing an uncertainty region needing manual intervention. And obtaining manual auditing judgment and correction operation, forming auditing knowledge precipitation and perfecting an auditing strategy library. According to the method, the content risk source can be accurately positioned, the auditing efficiency is improved, a closed-loop optimized man-machine collaborative auditing mechanism is formed, the misjudgment rate is effectively reduced, and the large model content security is improved.

The invention relates to a virtual power plant optimization scheduling method and system. The method comprises the following steps: establishing an operation model of a multi-type adjustable resource main body; constructing a master-slave game model of the aggregator and the resource main body, wherein the master-slave game model comprises an upper-layer model taking the aggregator as a leader and a lower-layer model taking the resource main body as a follower; solving a master-slave game model of the aggregator and the resource main body to obtain an optimal compensation price strategy and an optimal response power strategy, and constructing an optimal power scheduling plan according to the optimal response power strategy; the optimal power scheduling plan is used for being issued to each adjustable resource main body for execution so as to realize optimal scheduling of the virtual power plant. According to the method, the participation enthusiasm of the resource main body can be stimulated, the user participation degree can be improved, the scheduling instruction execution rate can be improved, the model accuracy can be improved, the cooperative capability of heterogeneous resources can be improved, and the overall operation economy and stability of the virtual power plant can be improved.

The invention relates to an artificial hail suppression operation method, device and equipment and a medium. The method comprises the steps of performing data fusion processing on multi-source meteorological monitoring data, airspace control information, an operation point resource state and protection target information to generate a dynamic operation situation map; constructing a multi-target robust optimization model based on the dynamic job situation map; an improved multi-objective evolutionary algorithm is adopted to solve the multi-objective robust optimization model, and a Pareto optimal solution set is obtained; performing multi-attribute decision on the Pareto optimal solution set based on the real-time preference weight, and generating an optimal operation scheme meeting actual requirements; and analyzing the optimal operation scheme to generate a specific operation instruction. By adopting the method, the limitation that traditional artificial hail suppression operation depends on experience decision can be effectively broken through, the operation blindness is reduced, the reasonable distribution of operation resources is realized, the protection effect of important areas is improved, the operation cost and disaster loss are reduced, and the scientization, precision and high-efficiency level of the artificial hail suppression operation is remarkably improved.

The present application relates to the technical field of energy. The present application relates to a multi-power full-time energy tracking energy storage system. It comprises a data effective reservation unit, a PCS matching unit, a VSG control working unit, a parameter updating simulation unit and a simulation parameter reservation unit; the data effective reservation unit is used for collecting load power data, and simultaneously performing effectiveness analysis on the load power data; according to the analysis result, effectiveness reservation is performed; the PCS matching unit is used for establishing a PCS group, and simultaneously performing working parameter analysis on the multi-power PCS in combination with historical load power data in the PCS group; through the combination of the reserved real-time load power data and the PCS group, multi-power PCS efficiency value evaluation is performed, the predicted efficiency value of each multi-power PCS under the condition of real-time load power data can be obtained, the multi-power PCS with the highest predicted efficiency value is selected as the working parameter for input, working mode switching is performed, and the overall efficiency of the system can be improved.

The invention discloses an uplink service message identification processing method and device, a terminal and a medium. The method comprises the following steps: acquiring core feature information corresponding to an uplink service message; obtaining a target message core data structural body according to the core feature information; obtaining a PDU session identifier corresponding to an uplink service message based on the target message core data structure body; obtaining a QoS flow identifier based on the PDU session identifier and the target message core data structure body; based on the QoS flow identifier, obtaining an uplink service message after scheduling processing; performing query processing on the QoS flow identifier to obtain a target packet data convergence protocol instance; and completing a QoS identification processing flow of the uplink service message based on the target packet data convergence protocol instance. The invention aims to realize rapid QoS identification, classification and processing of the uplink service message, improve the message processing efficiency and accuracy, and reduce the system resource overhead.

The present application relates to a method and system for analyzing the development forms of low-altitude economy based on high-density cities, the method comprising obtaining the mission address information and mission type information of each aircraft, and performing path planning within a preset airspace according to the mission address information and mission type information, and obtaining the flight path information of each aircraft; obtaining the real-time traffic flow and airspace status information within the preset airspace, and optimizing and adjusting the flight path information in real time according to the real-time traffic flow and airspace status information; real-time monitoring of aircraft activities within the airspace, obtaining the flight information of each aircraft, and judging whether the corresponding aircraft has any flight violations according to the flight information; real-time tracking and feedback of the flight mission status, and monitoring the aircraft status and equipment operation status within the airspace, triggering equipment alarms in the event of an abnormality and taking preset emergency treatment measures. The present application has the effect of improving the efficiency of low-altitude aircraft control.

The invention provides an energy efficiency optimization algorithm for a low-power wide area network (LPWAN), and aims to reduce the energy consumption of LPWAN equipment in a data transmission process and prolong the service life through adaptive data rate adjustment and a micro machine learning (TinyML) technology. The algorithm core comprises a self-adaptive data rate adjustment mechanism, and the transmission rate is dynamically adjusted according to the real-time link quality index and the signal strength. A TinyML model is integrated for local data processing and intelligent decision making, and the data uploading amount is reduced; according to the intelligent dormancy awakening strategy, energy consumption use of equipment is predicted and optimized according to an equipment use mode; and a multi-parameter optimization scheduling algorithm is adopted, and signal quality, equipment electric quantity and environmental factors are integrated for scheduling. In addition, the security of data transmission and user privacy protection are also considered, and a lightweight encryption technology is adopted. The practical application test in various LPWAN technologies verifies the effectiveness of the algorithm, realizes the obvious reduction of energy consumption and the prolonging of the service life of equipment, and has high expandability and adaptability.

The invention provides a task processing method and device, equipment, a medium and a product, the method is applied to a task processing system, and the task processing system comprises a priority scheduler, a plurality of current limiters, a plurality of task queues with different priorities and a plurality of token buckets. The method comprises the following steps: a priority scheduler respectively obtains the number of tokens applied to a plurality of token buckets by a plurality of current limiters in a first unit time; the priority scheduler sequentially determines the flow limiting values of the plurality of token buckets in the second unit time according to the sequence of the priorities of the plurality of task queues from high to low and the number of tokens applied to the plurality of token buckets by the plurality of flow limiters in the first unit time; the priority scheduler updates the current limiting value in the second unit time to the plurality of token buckets. According to the method, the resources can be preferentially allocated to the task queues with high priorities, the current limiting value of each task queue is matched with the actual task request condition, and reasonable allocation of the resources is realized.

The application relates to the technical field of aluminum alloy structure design, and discloses an aluminum alloy net shell structure design method and system based on a genetic algorithm. The method receives design requirement parameter input by a user, including span, height and load conditions of the net shell structure; divides the net shell structure into multiple design units corresponding to nodes or rod pieces; obtains historical performance data of aluminum alloy material, such as strength, rigidity and durability, from a database; determines the importance level and constraint level of each design unit based on the above data; generates an initial population containing multiple design schemes by using a genetic algorithm; iteratively executes selection, crossover and mutation operations to optimize the design individual; collects structure response data such as stress, strain and displacement in real time in the iteration; confirms whether a preset constraint condition is violated based on the data, and adjusts the genetic algorithm parameter if the constraint condition is violated; and outputs an optimal design result and generates a structure analysis image for the user to view.

This invention provides a GPU resource allocation method, apparatus, electronic device, and storage medium. The method includes: in response to an inference task request, determining an execution server among several servers to execute the inference task request; wherein multiple service models of inference services awaiting GPU allocation are deployed in the memory of the several servers, each server deploys a GPU management unit for allocating GPUs to the inference service, and the execution server deploys a target inference service required for executing the inference task; and allocating GPUs to the target inference service through the GPU management unit. This method avoids latency caused by thread start-up and shutdown by pre-deploying the service models of the inference service in the server's memory, placing them in a state of being started but awaiting activation. The method of this invention can significantly reduce the response time of inference services, providing a better user experience.

This invention provides a method and system for optimizing downhole communication links based on self-organizing networks, relating to the field of communication link technology. The method includes acquiring communication node information, constructing a network topology, and determining network characteristic parameters; constructing a link quality prediction model to evaluate link quality; performing dynamic network partitioning and establishing a node priority ranking table to select the optimal transmission path; and real-time monitoring of link status, triggering node self-organizing reconfiguration when necessary. This invention can improve the connectivity, stability, and transmission efficiency of downhole communication networks, reduce communication latency, and enhance the safety of downhole operations.

The present invention discloses a vehicle dispatching system based on consumer goods logistics, comprising a current logistics parameter acquisition unit, which is used to acquire the real-time inventory level of consumer goods at the vehicle's starting delivery point, the last delivery demand at the delivery point, the current weather classification label and geographic coordinates of the delivery point, and input them into a demand prediction model; a demand prediction unit, which is used to output the predicted demand for consumer goods at the delivery point according to the input; a vehicle delivery path dispatching unit, which is used to input the predicted demand, the current weather classification label and geographic coordinates of the delivery point into the dispatching model, and output an optimized delivery path; the present invention further optimizes the delivery path through a graph structure model, fully considers the spatial distribution of the delivery point and the dynamic demand changes, and at the same time, the total time loss of the path improves the timeliness of the logistics response by quantifying factors such as traffic congestion.

The application provides a method and system for checking the cross-modal information consistency of a maintenance plan based on a large model, and relates to the technical field of big data analysis. The method comprises the following steps: identifying a target maintenance plan through a power large model, determining key maintenance content, an unstructured proportion, and an attachment type complexity; obtaining a text data complexity and a business risk index based on key maintenance content analysis, as a first checking difficulty coefficient and a second checking difficulty coefficient; determining a third checking difficulty coefficient according to the unstructured proportion and the attachment type complexity evaluation; taking the expected review time limit of the target maintenance plan as a constraint, formulating an adaptive checking depth and an adaptive checking breadth based on the first checking difficulty coefficient, the second checking difficulty coefficient, and the third checking difficulty coefficient; and performing cross-modal information consistency checking on the target maintenance plan according to the adaptive checking depth and the adaptive checking breadth. The dynamic allocation of resources for checking the cross-modal information consistency of a maintenance plan is achieved.

The application relates to a power grid data processing method, device, equipment, readable storage medium and program product. The method comprises the following steps: obtaining service data generated by interaction of each subject unit in a source grid-load-storage coordination system; distributing the service data to corresponding main processing node groups based on corresponding service scenarios of the service data; the main processing node groups comprise at least two main processing nodes, each main processing node is pre-configured with a data processing algorithm and a resource allocation strategy matched with the corresponding service scenario; the load state of each main processing node is obtained, and the service data is distributed to a target main processing node for data processing; the target main processing node refers to a main processing node whose core running load index in the load state is in a corresponding preset interval range. The method can improve the data processing efficiency of power grid data.

This invention discloses an integrated intelligent monitoring system for air, space, and water using a wind-solar hybrid power supply, specifically relating to the field of intelligent monitoring. It includes a wind-solar hybrid power supply module, a sensing and monitoring module, a wireless self-organizing network communication module, and an intelligent management and control module. The wind-solar hybrid power supply module provides clean energy; the sensing and monitoring module collects environmental and operational data; the wireless self-organizing network communication module enables bidirectional data transmission and interaction between monitoring nodes; and the intelligent management and control module performs fusion analysis of multi-source data, water quality level prediction, and early warning triggering. The operation of the wind-solar hybrid power supply module specifically includes the following: classifying power supply differences into different levels based on power supply evaluation differences. This invention achieves long-term unattended, accurate, and efficient monitoring in outdoor scenarios without mains power through stable wind-solar hybrid power supply, comprehensive air, space, and water monitoring, reliable Mesh network transmission, and intelligent analysis, early warning, and dynamic optimization.

The invention provides an education recommendation method based on similarity alignment and uniqueness uniformity, and belongs to the field of education recommendation. The method comprises the following steps: S1, obtaining individual features of students and content features of courses, and constructing a student-course interaction diagram through interaction behaviors; s2, aggregating the multi-dimensional information to generate an embedded representation of each student and course, and constructing an embedded representation space; s3, by means of a similarity alignment loss function, after the embedding representation of the student is aligned with the embedding representation of the learned course, similar courses are searched for the student, and further alignment is carried out; s4, realizing embedding representation uniform distribution of students and courses in the embedding representation space by using a unique uniform loss function; s5, carrying out multi-task training, optimizing a similar alignment-unique uniformity index, and obtaining a course recommendation scheme; and S6, if the learning state of the student changes, repeatedly executing the steps S3-S5, and optimizing the course recommendation scheme. According to the invention, accurate alignment of students and courses and balanced distribution of resources are ensured, and recommended contents can be intelligently adjusted.

The application provides a mixture spectral component identification method and system under an edge computing architecture, and relates to the technical field of intelligent identification. The method comprises the following steps: in a cloud server, based on a standard spectral library and historical sample data, a candidate component spectral set is obtained by using a sparse regression method; the candidate component spectral set is downloaded to an edge computing node and stored locally to construct an edge spectral sub-library; after the edge computing node receives spectral data of a to-be-detected mixed sample, the edge spectral sub-library is linearly combined and solved based on a non-negative least square algorithm to obtain non-negative weight coefficients of each component; and the component composition in the to-be-detected mixed sample and the proportion of each component are determined according to the non-negative weight coefficients. Through edge-cloud cooperation, the application reduces the computing load of the edge end under the premise of ensuring the identification accuracy, meets the on-site real-time detection demand, avoids the negative weight problem, and improves the physical rationality of the result.

The invention discloses a carbon emission reduction supervision method based on artificial intelligence, and relates to the field of data analysis, and the main scheme is that the total carbon emission X is calculated according to the actual fuel carbon emission XA, the steam turbine carbon emission XB, the auxiliary equipment carbon emission XC and the transport vehicle carbon emission XD, the carbon emission condition can be comprehensively and systematically evaluated from the overall operation perspective of a power generation enterprise, and the carbon emission reduction supervision method can be applied to the power generation enterprise. The problem that the accuracy of carbon emission calculation is reduced due to the fact that collected data are single, the influence of boiler combustion equipment on carbon emission is ignored and carbon emission generated by other power generation equipment is ignored at the same time is solved, whether the carbon emission meets the standard or not is judged according to the total carbon emission X and the carbon emission upper limit value YG, different supervision methods are selected according to the judgment result, and the accuracy of carbon emission calculation is improved. The condition that carbon emission of part of links reaches the standard and other links exceed the standard is avoided, supervision judgment is more accurate and effective, and meanwhile reasonable allocation of supervision resources and accurate implementation of supervision measures are facilitated.

The utility model discloses a square bait fishhook group, which relates to the technical field of fishing gear, and comprises a bait fixing piece, a fishing rod, a fishing rod and a fishing rod, the horizontal fishing piece is connected with the bottom of the bait fixing piece, a plurality of first connecting structures are arranged on the horizontal fishing piece at intervals, and the first connecting structures are used for being detachably connected with fishhooks; the multidirectional fishing piece comprises a sliding block and a plurality of transverse fishing pieces, the sliding block is arranged on the bait fixing piece in a sliding and penetrating mode, the transverse fishing pieces are arranged in different directions, one end of each transverse fishing piece is connected with the sliding block, and the other end of each transverse fishing piece is provided with a second connecting structure; the second connecting structure is used for being detachably connected with a fishhook. According to the square bait fishhook set, the fishhooks can be rapidly replaced, other parts of the square bait fishhook set cannot be damaged, reasonable distribution of the fishhooks is achieved through the horizontal fishing rod and the multi-directional fishing rod, and the rate that fishes bite the fishhooks and the probability that the fishes are caught in the fishhooks are greatly improved.

The invention provides a pre-stress rolling mill and relates to the technical field of metallurgical equipment, the pre-stress rolling mill comprises a rack, a roller system, a rack pre-tightening mechanism and a hydraulic control system, the roller system is rotatably mounted on a housing through a bearing seat, and the rack pre-tightening mechanism comprises a pre-tightening hydraulic cylinder matched with the bearing seat in an aligned manner; the output end of the pre-tightening hydraulic cylinder vertically penetrates through the memorial archway and is in threaded connection with the bearing seat, and the pre-tightening hydraulic cylinder applies pre-tightening force in the vertical direction to the roller system. The hydraulic control system is provided with a hydraulic pipeline and a pressure adjusting switching valve, the hydraulic pipeline is connected with the pre-tightening hydraulic cylinder, the pressure adjusting switching valve is arranged on the hydraulic pipeline, the pressure adjusting switching valve is provided with a first working position and a second working position, when the pressure adjusting switching valve is located at the first working position, first pressure is provided for the pre-tightening hydraulic cylinder, and when the pressure adjusting switching valve is located at the second working position, second pressure is provided for the pre-tightening hydraulic cylinder. And providing second pressure for the pre-tightening hydraulic cylinder, wherein the second pressure is higher than the first pressure. The pre-stress rolling mill can keep proper pre-tightening force in a roll gap adjusting stage and a rolling stage.

The invention belongs to the technical field of blast furnace blast, and relates to blast furnace uniform blast equipment and method for changing the inclination angle of a hot air branch pipe. The hot air branch pipes are evenly distributed in the circumferential direction of the bustle pipe, meanwhile, the inclined included angle alpha is formed between the axis of the straight pipe section of each hot air branch pipe and the radial plane of the bustle pipe, and due to the design, right-angle turning in the hot air flowing process is structurally reduced, pressure loss and vortex dissipation caused by the right-angle turning are reduced, and the heat exchange efficiency is improved. The main guide direction of the original tangential flow speed of hot air in the hot air bustle pipe is maintained, it is guaranteed that the air quantity entering all the branch pipes is basically consistent, the air quantity distribution uniformity of all the tuyeres of the blast furnace is remarkably improved, and good flow stability and adaptability are achieved. Numerical simulation verifies that the comprehensive blast uniformity is optimal under the working condition that the hot air branch pipe is inclined by 75 degrees. The blast furnace can effectively improve blast uniformity, reduce airflow deviation and energy loss and improve the stability and smelting efficiency of the blast furnace, and has good industrial application value.

This invention discloses an articulated vehicle and its braking force distribution method. The articulated vehicle includes a tractor and a trailer, which are connected by a hinge. The braking force distribution method includes: acquiring the current parameters and current road condition information of the articulated vehicle in real time when it brakes; determining the current braking force demand and current risk coefficient based on the current parameters and current road condition information; determining the current braking force distribution ratio of the trailer based on the current risk coefficient; and determining the braking force of the tractor and trailer based on the current parameters, current braking force demand, current braking force distribution ratio of the trailer, and current road condition information. The technical solution of this invention achieves a reasonable distribution of braking force between the tractor and trailer, avoiding safety hazards caused by unbalanced braking force distribution.

This invention discloses a State of Charge (SOC) display system and method for unmanned logistics vehicles, belonging to the field of battery management technology for unmanned vehicles. The system includes: a vehicle controller, relays, a gateway, and a battery management system. When the vehicle controller and battery management system receive fast charging / slow charging / driving signals, the relay switches close, the gateway starts working, and forwards the data to the backend management system. When the vehicle controller and battery management system receive a driving signal, the backend management system displays the current SOC and driving status. When the vehicle controller and battery management system receive fast charging / slow charging signals, the backend management system displays the current SOC, charging status, charging time, and estimated full charge time. If the fast charging / slow charging / driving signal is lost, the backend management system displays the last received SOC and the vehicle's offline status, flexibly displaying information such as vehicle SOC, vehicle status, charging time, and estimated full charge time, achieving visualized monitoring of vehicle status and the charging process.

The invention discloses an open space personnel management method based on unmanned aerial vehicle vision, and relates to the technical field of image monitoring. Comprising the following steps: step 1, generating a current frame fusion detection result of each unmanned aerial vehicle based on multi-unmanned aerial vehicle cooperative sensing of a self-organizing Mesh network; 2, multi-person continuous tracking based on a space-time association diagram is carried out, each unmanned aerial vehicle constructs the space-time association diagram according to a current frame fusion detection result and a previous frame fusion detection result, and a current frame tracking result is generated; and step 3, multi-scale personnel counting and area management based on a Gaussian Laplacian pyramid, wherein each unmanned aerial vehicle gathers statistical data and alarm information through a self-organizing Mesh network and transmits the statistical data and the alarm information to a ground management and control platform. The problems that in the prior art, the coverage range of a single unmanned aerial vehicle is limited, the accuracy of multi-target tracking is insufficient in sheltering and appearance similar scenes, a single-scale detection method is poor in adaptability to personnel target size changes, and a counting result verification mechanism is lacked are solved.

The present invention discloses an employee scheduling management system for an enterprise, comprising a core switch, optical transmission equipment, optical fiber wiring, edge access equipment and a network management system based on a software-defined network architecture. The core switch has an advanced switching architecture and a large-capacity cache, supports high-density 10 Gigabit Ethernet interfaces and 40 / 100G Ethernet interfaces, supports IPv4 / IPv6 dual-stack protocols and a variety of dynamic routing protocols; the optical transmission equipment comprises a high-speed, low-power optical transceiver with automatic power control and temperature compensation functions, and a wavelength division multiplexer that adopts dense wavelength division multiplexing technology and supports flexible wavelength configuration and expandable channel quantity; the present invention greatly improves network performance, enhances network reliability and stability, optimizes resource utilization and cost-effectiveness, flexibly adapts to business changes, improves network management efficiency, and ensures network security: establishes a network security protection system, strengthens network access control and data encryption, and has an optical fiber network system with advanced performance and functions.