100 results about "Network layout" patented technology

The invention relates to the technical field of agricultural internet of things and intelligent regulation and control, in particular to a tobacco planting greenhouse microclimate real-time monitoring and regulation and control method based on a cloud platform, which adopts a'cloud-side-end 'three-level architecture, deploys a multi-source sensor network layout in a tobacco planting greenhouse, is connected with terminal equipment and is used for monitoring and controlling the microclimate of the tobacco planting greenhouse. The multi-source sensor network is a three-level sensor network, the data acquisition and processing module adopts LoRaWAN and 4G / 5G dual-mode redundancy transmission, deploys an LSTM prediction model at an edge computing node, inputs time sequence sensor data, adopts a micro-service architecture, adopts a gRPC protocol for inter-service communication, and constructs a virtual tobacco planting greenhouse model through a Unity 3D engine; according to the method, environmental parameters are collected in real time through a multi-source sensor network, a regulation and control strategy is dynamically optimized through a machine learning algorithm, and precise control over the tobacco growth environment is achieved.

The invention relates to the technical field of municipal planning, in particular to a BIM + GIS-based municipal underground pipe network intelligent planning and conflict avoidance system and method, and the system comprises a BIM-GIS data fusion module which is used for integrating a BIM model and GIS topographic data; the construction process association module is used for analyzing the construction plan to generate a dynamic construction progress table, and constructing a directed graph based on the spatial position relationship of each construction unit in the BIM model; the conflict prediction and avoidance module is used for calculating the space conflict probability of the temporary pipe network and the permanent pipe network in real time in combination with the directed graph and GIS topographic data; the land-saving optimization module is used for carrying out iterative optimization on the temporary pipe network layout through a genetic algorithm based on GIS topographic data and construction area boundary constraints so as to minimize the total length and the occupied area of the temporary pipe network; and the dynamic visualization interaction module is used for providing a three-dimensional BIM-GIS fusion view. According to the method, management and control from static design to dynamic construction are achieved, and the scientificity of underground pipe network planning and the land resource utilization efficiency are improved.

The invention discloses a rainfall station network layout method, and relates to the technical field of hydrometric station network layout, and the method comprises the steps: obtaining the rainfall data of a historical rainfall station network in a target region, the historical rainfall station network comprising a plurality of rainfall stations; extracting spatio-temporal characteristics of the rainfall data, and obtaining a rainfall prediction value of each spatial unit based on the spatio-temporal characteristics; obtaining prediction precision and a mutual information mean value based on the rainfall prediction value, constructing a fitness function based on the prediction precision and the mutual information mean value, and obtaining an optimal solution based on the fitness function; and obtaining a target rainfall station network layout result based on the optimal solution. The method solves the problems that an existing rainfall station network layout method is insufficient in spatial-temporal feature capture capability, is easy to fall into a local optimal solution due to dependence on a certain heuristic algorithm, and is low in optimization efficiency and cannot effectively balance and collaboratively optimize multiple targets.

The invention discloses a drainage basin monitoring network layout optimization method based on mutual information active learning. The method comprises the following steps: data processing; constructing an integrated learning prediction model composed of a plurality of LSTMs, initializing each LSTM model parameter by setting different random number seeds, and iteratively updating the model parameters; constructing a covariance matrix of prediction results of the potential monitoring points by using the trained integrated learning prediction model; on the basis of an active learning algorithm of mutual information maximization, mutual information gains of all candidate sites added into the current monitoring network are calculated, candidate points enabling the mutual information gains to be maximum are selected, and information value sorting is carried out on potential monitoring points according to the sizes of the mutual information gains; and outputting a monitoring station optimization suggestion list. According to the method, uncertainty is scientifically quantified by adopting an ensemble learning method, and global information value is evaluated by adopting a mutual information maximization strategy, so that point selection decision does not depend on subjective experience any more, but strict calculation based on data and information theory, and the scientificity of decision is remarkably improved.

The invention discloses a multi-source rainfall monitoring station network design method and device based on a complex network theory, and relates to the field of rainfall monitoring station network design, and the method comprises the steps: obtaining multi-source rainfall data of a research region; grid division is carried out in the research area according to preset precision, candidate sites are determined according to divided grids, connection edges between the candidate sites are determined according to correlation between the multi-source rainfall data of the candidate sites, and a rainfall network of the research area is constructed; calculating a weighting degree betweenness of each candidate station in the precipitation network according to a weighting degree betweenness index calculation method; determining the minimum rainfall monitoring station number in the research area; and sorting the weighting degree betweenness of each candidate station, and at least selecting a minimum number of candidate stations from a sorting result as rainfall monitoring stations. According to the invention, multi-source precipitation data is adopted, optimization design is carried out on precipitation monitoring station network layout points based on a complex network theory, and the accuracy of precipitation monitoring station network layout is improved.

The invention discloses a centralized heat supply network pipe pressure monitoring method and system based on artificial intelligence, and relates to the technical field of heat supply system monitoring, and the method comprises the steps: firstly laying optical fibers and point pressure sensors on a network pipe, and collecting acoustic strain and pressure data; constructing a digital twin grid through same-frequency alignment and Delaunay triangulation, and reconstructing a continuous pressure field; calculating the residual error between the reconstruction pressure and the measured value at the monitoring node; extracting multi-scale residual features to form a feature matrix based on a wavelet operator of a pipe network topological structure map; inputting the features into a pre-trained spectrogram wavelet neural network, and outputting a normalized abnormal score; and finally positioning a fault pipe section according to the score and performing graded warning. Physical modeling and deep learning are fused in the whole process, closed-loop monitoring from data collection to fault diagnosis is achieved, and the precision and timeliness of pipe network anomaly detection are remarkably improved. Manual detection is not needed, and the monitoring process is more flexible.

Apparatuses, systems, and methods for providing enhanced visualization of lifecycle information and management for a network, such as an industrial network, enable the creation / design of a virtualized network. The virtualized network eases the physical deployment / installation of a real network by using augmented reality (AR) to enable configuration / monitoring of the network using the virtualized network and real-time and / or historical information. Performance issues may be identified and visually conveyed to a user using AR overlay. The virtualized network may be created by a user via a network layout creation tool that combines both physical and logical mappings of devices and elements. One or more AR tools may be used to add, edit, remove, and / or manipulate elements of the network model using gestures. The virtualized network may be implemented as a digital twin of the location and used to assist in the physical deployment, maintenance, and monitoring of a network at the location.

The invention discloses a port logistics carbon emission monitoring system based on the Internet of Things and a computer, and the system comprises a multi-modal data collection and transmission module which carries out the full-amount collection of the multi-dimensional data of equipment, sensors and environment in a port area through a hierarchical heterogeneous communication network; the edge intelligent processing and resource scheduling module is deployed at the local of a port, performs priority dynamic allocation and real-time processing on the acquired data, and uploads aggregated data; the anomaly detection and carbon flow modeling module is used for carrying out anomaly detection based on a space-time diagram neural network and constructing an operation chain carbon flow model integrated with a port production operation system; the digital twinning driven monitoring network optimization module is used for constructing and operating a communication-environment digital twinning model and dynamically optimizing the layout of the monitoring network; the accounting decision and intelligent optimization module is used for performing carbon footprint tracing based on a task-level accounting unit and generating a low-carbon optimization strategy; and the visualization and user interaction module is used for providing a visualization display and decision support interface of the carbon emission data.

The invention provides an electrical automation system fault prediction method based on big data analysis. The method comprises the steps of sensor network layout planning, data acquisition, data transmission, data preprocessing, feature extraction, fault prediction model construction, real-time prediction and fault early warning. According to the method, the problems that an equipment fault diagnosis method in an existing electrical automation system cannot realize omnibearing real-time monitoring through manual inspection, potential faults are difficult to perceive based on threshold judgment, troubleshooting and positioning consume long time and the like can be solved, early warning of the equipment fault is realized through a method based on big data analysis, and the fault diagnosis efficiency is improved. Stable and reliable operation of an electrical automation system is guaranteed, and the strict requirement of modern industry for intelligent management of equipment is met.

The invention discloses a salinized frozen soil roadbed multi-parameter coupling monitoring method, and relates to the field of salinized frozen soil area roadbed monitoring, and the method comprises the steps: executing field investigation and demand analysis, outputting a field investigation and monitoring demand analysis report, executing a sensor network intelligent dynamic topology design, and outputting an intelligent dynamic sensor network layout detailed drawing. According to an intelligent dynamic sensor network layout detailed drawing, sensor preparation, verification and drilling channel construction are executed, and drilling holes and channels are output; cooperative arrangement, installation and fixation of a multi-parameter sensor are executed, an on-site sensing network is output, cables are led out and connected to an integrated data acquisition box in a tandem mode, cable tandem is executed, system integration and acquisition box installation and debugging are carried out, and an integrated on-site monitoring station is output. According to the method, the ultimate targets of comprehensive, synchronous and accurate monitoring and intelligent early warning of the roadbed water-salt-thermal coupling migration process are achieved, and the fundamental problems of data splitting and analysis lagging of a traditional method are effectively solved.

This invention discloses a method for extracting the equivalent permeability of multi-stage seepage paths in a pore network, comprising the following steps: S1, binarizing the images captured by the experimental testing equipment, executing the pore numbering module L to obtain pore regions with different numbers; S2, executing the directed graph generation module B to generate a directed connectivity matrix C. B S3. Execute the path search module W, using continuous repeatability as a constraint during path search. S4. Execute the penetration rate equivalence module P to determine the experimental calibration coefficient C. E By confirming the magnitude of seepage resistance and the range of equivalent permeability for each path, this invention can quickly solve key issues such as the applicable range of permeability and multi-layer fluid distribution for fluid transport (such as geologically sealed CO2 and displacement fluids for reservoir development) in heterogeneous geological bodies. It provides important guidance and support for the formulation of schemes such as well location / well network layout, layer combination, and quantification of recovery / storage volume for reservoir development or CO2 geological storage.

This application provides a method and system for optimizing the layout of hydrogen refueling networks based on big data, relating to the field of hydrogen refueling station planning technology. This application acquires the vehicle-end driving trajectory of hydrogen fuel cell vehicles, the hydrogen pressure reduction at the vehicle end, and the hydrogen production rate of local hydrogen production plants to calculate the node hydrogen consumption equivalent for each road segment node; performs road segment blocking operations on the physical road network according to hazardous chemical prohibition rules to generate a hydrogen transportation road network; takes the local hydrogen production plant as the starting node, performs capacity attenuation calculations outward along the hydrogen transportation road network based on the plant's hydrogen production rate, and outputs the node hydrogen supply equivalent for each road segment node; spatially superimposes and cancels the node hydrogen consumption equivalent with the node hydrogen supply equivalent, locks the target road segment node that meets the first preset condition, performs spatial correction, and outputs the station deployment coordinates. This invention can automatically generate hydrogen refueling station site selection coordinates based on the spatiotemporal matching relationship between actual vehicle-end hydrogen consumption and local hydrogen supply, improving the rationality and operational efficiency of the hydrogen refueling network layout.

The invention discloses a communication coverage method and device for rail transit, and relates to the technical field of rail transit communication, and the method comprises the steps: constructing a coverage device, designing an initial base station distribution scheme according to the geographic characteristics and historical communication data of a rail transit line, the communication base station control end, the vehicle-mounted communication module, the communication signal monitoring module and the environment coverage simulation module are arranged, a perfect communication coverage device is constructed, and the communication coverage device is constructed by means of dynamic adjustment of the base station, vehicle path planning, real-time monitoring, environment factor simulation and the like. According to the technical scheme, working personnel are helped to monitor and evaluate the operation state, the signal quality and the network load of the base station, decision basis is provided, network layout and operation strategies are further optimized, communication data of rail transit and corresponding analysis results are managed, visualized and stored, and the working efficiency is improved. Communication coverage management of the rail transit can be realized through cloud management and control of the internet of things, and the intelligent level of communication coverage management of the rail transit is improved.

The application provides a method for obtaining power network layout based on directed acyclic graph topology unfolding, comprising the following steps: step 1, separating unconnected components; step 2, adding a virtual node before each source end, and adding the out-degree of the virtual node to the source end to form a directed acyclic graph with a single starting point; step 3, determining the node serial number, and rearranging the node out-degree according to the node serial number; step 4, performing topology sorting on the directed acyclic graph to obtain a topology sorting list; and step 5, obtaining the layout from the topology sorting. The application introduces a deep analysis method based on directed acyclic graph topology, and innovatively adjusts the out-degree of the directed acyclic graph to generate an optimized topology sorting.

The application discloses a composite chain mountain disaster monitoring network layout method and device and a storage medium, and the method comprises the following steps: acquiring target area geological environment data; calculating the height of a weather radar equipment site; calculating the site position of a ground rainfall station; dividing the monitoring river basin into functional areas to obtain a mountain disaster monitoring functional area, wherein the mountain disaster monitoring functional area comprises a starting area, a transformation and flow area and a deposition area; according to the disaster characteristics of the starting area, the position of the starting area monitoring equipment in the starting area is calculated; according to the disaster characteristics of the transformation and flow area, the position of the transformation and flow area monitoring equipment in the transformation and flow area is calculated; according to the disaster characteristics of the deposition area, the position of the deposition area monitoring equipment in the deposition area is calculated; and the target mountain is subjected to network layout to obtain a monitoring network layout result. The application realizes the monitoring network layout, improves the monitoring accuracy and the overall layout. The application can be applied to the technical field of geological disaster monitoring.

Embodiments of the present disclosure provide a weather station network layout evaluation and design method and system integrating multi-source observation requirements. The method is applied to the technical field of weather observation station network layout design, and includes five steps of requirement matching, efficiency evaluation, simulation optimization, layout decision and closed-loop feedback. In this way, the present application realizes efficient visual display by integrating multi-source observation requirements, constructing a comprehensive data management system and constructing multi-dimensional station network evaluation and design algorithms, and significantly improves the overall efficiency of weather station network data management and application.

The present application belongs to the field of pipe network leakage positioning, and in particular to a water pipe network leakage detection and positioning device and method based on a cascade topology structure. Through cascade monitoring node layout, multi-sensor fusion collection and water balance algorithm, the problems of poor positioning accuracy, response lag, weak anti-interference ability and insufficient adaptability of the prior art are completely solved, early identification and accurate positioning of small leakage are realized, the positioning error is controlled within a preset threshold, the false alarm and false report rates are significantly reduced, and the cascade pipe network layout under different working conditions and different scenes is adapted, thereby filling the gap in the special detection and positioning technology for cascade topology pipe networks and improving the technical level in the field of water pipe network leakage detection.

The invention discloses a method and a system for dynamically generating a rainstorm disaster alarm based on a grid actual condition. The method comprises the following steps: collecting site observation rainfall data, grid actual rainfall data, radar data, geographical environment data and rainstorm disaster alarm events in a preset time period; performing deviation analysis and correction on the grid real-time rainfall data by using the site observation rainfall data, and calculating a grid rainfall storm disaster alarm threshold according to the corrected grid real-time rainfall data and the site observation rainfall storm disaster alarm threshold; constructing a training data set, and performing training optimization on the rainstorm disaster alarm model by using the training data set; and carrying out red and orange rainstorm disaster alarm on villages, towns and cities based on the trained and optimized rainstorm disaster alarm model. According to the method, the defects of observation station network layout can be made up, effective monitoring of the rainstorm disaster in a station-free area is realized, and the accuracy, the spatial resolution and the disaster prevention applicability of rainstorm disaster risk early warning are remarkably improved.

The present application relates to the technical field of marine environment monitoring, in particular to a kind of network layout design method for exchange area sea environment observation of submarine and buoy, comprising: the core channel coordinate set of Indonesian through flow is extracted by multi-scale process identification algorithm, the spatiotemporal distribution matrix of Java upwelling intensity and monsoon influence weight coefficient;Based on observation platform adaptation model, typical marine process characteristic parameters are matched with sensitive sea area operation constraint condition, and platform type combination scheme is generated;Fixed-mobile platform joint data transmission link is constructed, and the topology graph of collaborative observation strategy is output;Using nested observation optimization algorithm, according to the characteristics of core channel area, upwelling area and monsoon influence area, high, medium and low sampling frequency are configured, and multi-resolution nested layout scheme is generated.The present application can realize the unity of spatial partition refinement, platform configuration collaboration and data acquisition high adaptability, and significantly improve the coverage integrity of Indo-Pacific exchange area sea environment observation network.

The invention relates to a microstrip network layout optimization method based on Fourier series, and belongs to the technical field of radio frequency circuit design. The method aims at solving the problems of topology dependence, boundary discontinuity and low efficiency caused by sharp increase of optimization parameters along with the area in a traditional rectangular spliced microstrip network. The core of the technical scheme is that a microstrip network boundary is modeled into a plane closed curve, the curve is represented through Fourier series decomposition, and a Fourier coefficient is optimized by taking circuit performance as a target drive, so that a microstrip layout with any shape and a continuous and smooth boundary is generated. According to the method, automatic design rule checking and port adding processes are integrated, and finally electromagnetic simulation iteration is carried out until a design target is met. The method can break through the limitation of the traditional topology, effectively improves the electromagnetic performance and design efficiency, and is widely applied to the microstrip network design of broadband matching, multi-band matching, harmonic control and the like.

The invention relates to the crossing field of environment monitoring and information technologies, in particular to a water body monitoring station layout optimization method and device and a computer readable medium. According to the method, an evaluation system composed of the coverage rate index, the pollution hot spot coverage index, the complementarity index and the dispersity index is constructed, and the fitness function is constructed in a weighted product mode, so that the problem of unbalanced monitoring performance possibly caused by single target optimization is effectively avoided. According to the method, the network layout can be guided to obtain good balance among the space coverage range, the pollution event capture sensitivity, the data information diversity and the distribution uniformity, and the overall representativeness and efficiency of the monitoring network are effectively improved. According to the method, the particle swarm optimization model is established, the established monitoring stations are used as fixed particles, the newly added monitoring stations are used as dynamic particles for iterative optimization, a point distribution scheme with better comprehensive performance can be automatically searched, and a quantitative decision tool is provided for upgrading and reconstruction of a monitoring network under resource constraints.

The application discloses a kind of based on inter-information active learning's watershed monitoring network layout optimization method, comprising: data processing;Integrated learning prediction model is built by multiple LSTMs, each LSTM model parameter is initialized by setting different random seed, and model parameter is iteratively updated;The covariance matrix of the prediction result of potential monitoring point is constructed using the integrated learning prediction model trained;Based on the active learning algorithm of inter-information maximization, the inter-information gain of all candidate sites joining the current monitoring network is calculated, the candidate point with the maximum inter-information gain is selected, and the information value of potential monitoring point is sorted according to the size of inter-information gain;Output monitoring site optimization suggestion list.The application uses integrated learning method to scientifically quantify uncertainty, uses inter-information maximization strategy to evaluate global information value, so that site selection decision is no longer dependent on subjective experience, but based on data and rigorous calculation of information theory, significantly improve the scientific nature of decision-making.

The application discloses a mountain torrent disaster rainfall station optimization method based on grid coverage, belongs to the technical field of mountain torrent disaster research, and comprises the following steps: S1. extracting a grid related to an upstream of a mountain torrent disaster prevention object; S2. calculating a dynamic monitoring radius and a coverage area; S3. spatial intersection analysis; S4. calculating a coverage of the mountain torrent disaster prevention object and calculating a regional comprehensive coverage; and S5. rainfall station network layout optimization. The application solves the problems of insufficient coverage of an existing rainfall station network and failure to combine the characteristics of a basin, improves the scientificity of coverage evaluation, optimization efficiency and scheme economy, and is suitable for rainfall station network planning of a small-basin mountain torrent disaster prevention area.

The application discloses a public space social behavior and environment influence recognition method based on a perception device network, and comprises the following steps: public space area selection, measuring point layout and perception device distribution, public space physical environment monitoring, public space social behavior recognition, behavior environment index influence analysis, influence rating and output; the application is based on the perception device network layout, monitors the public space physical environment through the environment perception device, recognizes the public space social behavior through the behavior perception device, and comprehensively analyzes the influence relationship between the environment index and the behavior index, performs influence degree sorting and output, and the application can be used for recognizing the behavior environment influence relationship in the city intelligent perception field, and helps to create more efficient and comfortable city public spaces.

This disclosure provides a method, electronic device, and program product for adjusting the layout of a relational network. The method includes acquiring relational network data and determining a first parameter of the relational network structure based on the data. A second parameter of the relational network is adjusted based on the first parameter; the second parameter refers to a physical simulation parameter that affects the physical simulation forces acting on nodes in the relational network. Based on the second parameter, the physical simulation forces acting on the nodes are determined, and these simulated forces guide the layout state between nodes. Based on the resultant force of the simulated forces and the node positions, the layout adjustment speed and adjustment position of the nodes are determined. Based on the adjustment speed and adjustment position, the node layout in the relational network is adjusted. By adjusting the second parameter of the relational network through the first parameter of the relational network structure, the dynamic adjustment of the second parameter, i.e., the physical simulation parameter affecting the physical simulation forces acting on the nodes, is achieved.

The invention provides a spatial multi-target detection network layout optimization method based on GNSS-R. According to the method, projects such as coverage rate, direct / reflected signal intensity, GDOP, time delay / Doppler broadening and the like are quantified into multi-target vectors based on physically-driven pseudo target point cloud and link simulation, and spatial multi-target positioning and speed measurement precision is improved through a multi-target joint optimization method. According to the method, in order to solve the convergence and uniformity problems of high-dimensional multi-objective optimization, a hybrid association criterion is put forward on an NSGA-III framework; and adaptability improvement is carried out on the density sensing micro population, the scale of reference points is reduced, and the local search capability is enhanced while a boundary extreme solution is reserved. Simulation experiments show that the average positioning error is 9.91 m and the speed measurement error is 0.4385 m / s under the condition that the number of the receiving units is obviously reduced, the requirement of space target detection is met, and a new way is provided for off-line planning and near-real-time deployment of a space multi-target detection network.

The invention relates to the technical field of deformation monitoring, in particular to a space-time self-learning early warning system for foundation settlement risks in the highway construction process, and the system comprises an information processing module, a weight construction module, a tensor analysis module, a risk calculation module and an early warning release module. According to the method, the distribution density is evaluated through the spatial position vector and the Gaussian kernel function, the coverage weight is generated, local deviation caused by uneven network distribution is eliminated, balanced expression of regional settlement characteristics is ensured, a lagging interval is deduced through the soil consolidation theory, and deformation direction consistency screening is executed. Environmental noise is eliminated to lock effective cumulative settlement caused by a specific process, a prediction model with self-adaptive capability is constructed in combination with a grey system theory, the dynamic growth rate of a settlement cumulative value is tracked in real time, conversion from static management and control to dynamic trend early warning is realized, the sensitivity of foundation instability precursor capture is improved, and the stability of a foundation is improved. And a scientific basis is provided for construction procedure adjustment.

The application provides a plane engineering control network layout method, and relates to the technical field of engineering surveying, and comprises the following steps: determining a first layout target of a target layout area according to engineering project requirements and a plane engineering control basic network; inputting the first layout target and project parameters of a target engineering project into preset layout simulation software, so as to obtain an initial layout scheme; obtaining real-time area parameters of the target layout area, and adjusting the initial layout scheme based on the real-time area parameters, so as to obtain an optimized layout scheme; performing real-time layout of the plane engineering control network based on the optimized layout scheme, and monitoring the layout result in real time, so as to timely perform layout adjustment. Through the use of modern measurement technology and simulation technology, the fast layout of the control network can be realized, and more precise control of the control network can be realized.

The present application belongs to the field of artificial intelligence and relates to a method for training a poster generation model, comprising: obtaining an annotated poster image, the poster image including position annotation information of layout elements; using an image network to extract global image feature information of the poster image; obtaining feature representation information of the layout elements, using a layout network to perform self-attention encoding on the feature representation information to obtain initial position information; using an interaction layer to perform feature interaction on the global image feature information and the initial position information to obtain layout element position information; based on the difference between the layout element position information and the position annotation information, respectively training the parameters of the image network, layout network, and interaction layer to construct a poster generation model. The present application also provides a device, an apparatus, and a medium. In addition, the present application also relates to blockchain technology, and the poster image and target parameters can be stored in the blockchain. The present application can realize the automation of poster layout.

The invention provides a cross-network segment equipment communication method and a routing device in a whole-house intelligent scene, a control center of intelligent equipment is registered on any routing device in a whole-house intelligent network, and the whole-house intelligent network is composed of a plurality of subnetworks established by taking a plurality of routing devices as subnetwork routing. Equipment information of the control center is synchronously registered to other routing devices in the whole-house intelligent network, and the equipment information comprises network address information after the control center is registered to the whole-house intelligent network; generating virtual equipment of the control center in each routing device in the whole-house intelligent network according to the equipment information of the control center, and enabling the control center to communicate with intelligent equipment in a subnet accessed to each routing device through the virtual equipment, uniform access control can be realized by accessing the control center and the intelligent equipment in any network segment under the condition that the network layout and the network configuration are not changed.