62 results about "Network layout" patented technology

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.

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 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 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.

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 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 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.

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 invention relates to the technical field of environmental monitoring and environmental engineering, in particular to a landfill surrounding environment multi-medium cooperative monitoring network layout method, which comprises the following steps of: acquiring basic site information around a landfill, and judging whether a region is influenced by tide; performing short-term continuous groundwater level monitoring to obtain groundwater level time sequence data and dividing a tide level stage if being affected by tide; calculating the hydraulic gradient direction of underground water in each tide level stage, and determining a potential pollution migration direction area under the corresponding tide level stage; a monitoring section line is determined in the direction perpendicular to the hydraulic gradient, and a multi-medium monitoring point combination is cooperatively arranged; and verifying and adjusting the multi-medium monitoring point combination, and carrying out monitoring network layout on the surrounding environment of the landfill site according to the verification and adjustment. According to the method, the monitoring network layout can adapt to the periodic change of the flow direction of underground water under the tidal effect, the space-time correspondence among different environmental medium monitoring results is enhanced, and the identification and support capabilities of the potential pollution migration process are improved.

The application provides a kind of city electric-heat-gas-hydrogen network coupling energy station layout optimization method and system, comprising: through data interface, the network frame structure data of the city to be optimized is collected, multi-energy network graph model is constructed, and the integrated equivalent distance of any edge is calculated;Based on the multi-energy network graph model, determine the energy station candidate layout node, decision variable set and optimization boundary, and perform adaptive allocation of load node to obtain energy station and network layout scheme;Calculate the total construction cost of the newly built energy station to construct the energy station and energy network optimization model, and obtain the optimal scheme of comprehensive performance based on multi-objective genetic algorithm optimization solution;Visual display of the optimal scheme of comprehensive performance, and generate energy station layout and network expansion optimization suggestion report.The application realizes efficient and economic matching of city multi-energy supply network and dynamic load distribution, effectively improves the overall flexibility and planning scientificity of regional energy system.

This invention discloses a method for optimizing well layout parameters in a three-dimensional well network for fracturing in thick shale oil reservoirs. The optimization method includes: Step S1: Inputting the logging curve interpretation results of the pilot test well, and calculating the physical and geomechanical parameters of the target reservoir rock; Step S2: Calculating the reservoir quality, completion quality, and overall quality based on the physical and geomechanical parameters, and initially selecting the vertical landing sites for horizontal wells; Step S3: Establishing a reservoir fracturing geological model based on the physical and geomechanical parameters, building an unconventional oil and gas fracturing fracture propagation model, and simulating the vertical fracture height propagation of the initially selected vertical landing sites for horizontal wells; Step S4: Determining the optimal lateral well network density for each sub-layer based on single-well productivity; Step S5: Outputting the three-dimensional well network layout results. This method maximizes reservoir stimulation volume by drilling the fewest horizontal wells, meeting the needs of cost reduction and efficiency improvement.

The application provides a self-sensing concrete-based damage monitoring auxiliary system and relates to the technical field of concrete damage monitoring.The system comprises a self-sensing concrete hardware module, a data acquisition and processing module, an environment compensation correction module, a data decoupling module and a data analysis and prediction module.The high-density microelectrode grid is pre-buried in the self-sensing concrete by optimizing the sensing network layout.These microelectrodes can not only increase the signal acquisition points, but also effectively reduce the signal attenuation problem, and the electromagnetic suppression submodule is used to enhance the resistance to local electromagnetic interference of the application, so that the system can maintain good signal stability even in a complex construction environment.Thus, by optimizing the sensing network layout, enhancing the anti-electromagnetic interference capability, establishing a temperature and humidity compensation model and combining the intelligent signal processing algorithm, the high-precision and high-robustness damage monitoring is realized, so that the monitoring efficiency and engineering applicability of the self-sensing concrete in the complex environment are improved.

The invention discloses an integrated transceiving front-end layout generation method and device and a medium, and relates to the technical field of antennae, the method comprises the following steps: firstly, inputting a schematic diagram, and creating a design rule check file according to carrier plate processing factory process parameters to determine process constraints; dividing a layer domain reference, importing simulation parameters to generate an array antenna and a chip layout element, and completing positioning; calling elements, identifying port coordinates, and generating an intermediate layer feeder network layout; and finally, carrying out schematic diagram comparison and process compliance dual-check iterative adjustment until the design requirements are met. Therefore, the layout is ensured to be accurate and compliant based on the process parameters and the simulation data, the radio frequency performance can be controlled, the modification time consumption is greatly reduced, the manual repeated operation is replaced by the standardized process, the personal error is reduced, the multi-layout can be quickly generated, the explorable design space is effectively expanded, and the design efficiency is improved. And finally, a design result with high consistency, high reliability and efficient iteration is realized, and a solid foundation is laid for batch production and performance improvement of the support plate.

The invention discloses a semiconductor factory power demand simulation device and method considering scheduling and supply, and the device comprises a production scheduling module which is used for obtaining semiconductor production task information, and giving a processing sequence of each semiconductor production device; the equipment energy consumption module is used for acquiring the processing sequence, given by the production scheduling module, of each semiconductor production equipment, simulating the processing behavior of each semiconductor production equipment, and giving sequential power demand data of each semiconductor production equipment; and the pipe network supply module is used for acquiring the time sequence power demand data of each semiconductor production device given by the device energy consumption module, simulating a pipe network operation behavior according to the pipe network layout, and giving time sequence pipe network operation state data. By constructing a semiconductor factory power demand simulation model of three levels of production scheduling-equipment energy consumption-pipe network supply, accurate prediction of the power demand of the semiconductor factory is realized, and the problem that power demand prediction and planning of the semiconductor factory are disjointed is solved.

The invention discloses a pumped storage power station underground cavern group ventilation system, and relates to the technical field of pumped storage power station construction, the system comprises a CFD airflow simulation module, a fan configuration module, a ventilation network layout module, a real-time monitoring module, a dynamic regulation and control module and an effect verification module, and the modules are in signal linkage; cavern group airflow and dust migration rules are simulated through CFD, fans are scientifically configured, a ventilation network is arranged, cavern wind speed, harmful gas and dust concentration data are collected in real time in combination with multiple types of sensors, and fan parameters and the ventilation network are dynamically adjusted by a dynamic regulation and control module based on a safety threshold standard. And the effect verification module feeds back measured data to the simulation module to realize iterative optimization of the system. The system adapts to the complex space of the cavern group, ventilation is intelligently and accurately regulated and controlled, dust and harmful gas are efficiently managed and controlled, construction safety is guaranteed, and efficiency is improved.

The invention provides a 5G-A network layout planning method and device, equipment, a medium and a product, and relates to the technical field of the Internet of Things, and the method comprises the steps: obtaining an original industry physical application environment image of a 5G-A industry application; inputting the original industry physical application environment image into a periodic generative adversarial network model to obtain an application environment image which is output by the periodic generative adversarial network model and is used for marking network layout; and performing 5G-A network layout planning based on the application environment image marked with the network layout. According to the invention, the model structure of the periodic generative adversarial network is improved, so that automatic planning and design of 5G-A network layout in a self-adaptive 3D physical application environment are realized, and the intelligence, efficiency and accuracy of 5G-A network layout planning are improved.

The application discloses a kind of semiconductor factory power demand simulation device and method considering scheduling and supply, device includes production scheduling module for obtaining semiconductor production task information, give the processing sequence of each semiconductor production equipment;Equipment energy module is used to obtain the processing sequence of each semiconductor production equipment given by production scheduling module, simulate the processing behavior of each semiconductor production equipment, give the time-sequenced power demand data of each semiconductor production equipment;Pipe network supply module is used to obtain the time-sequenced power demand data of each semiconductor production equipment given by equipment energy module, and according to pipe network layout, simulate pipe network operation behavior, give time-sequenced pipe network operation state data.Through the construction of "production scheduling-equipment energy-pipe network supply" three levels of semiconductor factory power demand simulation model, accurate prediction of semiconductor factory power demand is realized, and the problem that semiconductor factory is disconnected for power demand prediction and plan is solved.

The present application relates to a kind of carbon measurement data real-time access method, system, device and medium, the method includes: identifying the carbon measurement data type to be accessed;If it belongs to power supply side carbon measurement data, obtain each category carbon measurement data of power supply side, analyze the network layout environment of power supply side enterprise, according to the internal network and / or external network layout environment of power supply side enterprise each category carbon measurement data is accessed carbon measurement sub-station in real time, access carbon measurement total station by mirror mode;Power supply side carbon measurement data includes thermal power carbon measurement data, at least one category of thermal power carbon measurement data is different when the network layout environment of power supply side enterprise, the mode of access carbon measurement sub-station is also different;If it belongs to user side carbon measurement data, user side carbon measurement data is accessed dispatching data center in real time by the set intelligent power grid dispatching control system, access carbon measurement total station in real time via dispatching data center.The present application can accurately and comprehensively monitor and manage carbon measurement data of electric power industry.

The present application relates to the technical field of tunnel blasting control, and particularly relates to a large-section tunnel blasting control system and method based on crack analysis, which analyzes the crack instability risk of a composite stratum under blasting based on in-situ stress data and composite surrounding rock mechanical data; analyzes the abnormal state of initiation network layout control in the composite stratum according to the crack instability risk analysis result of the composite stratum under blasting and the initial blasting design scheme data; evaluates the blasting risk situation of the large-section tunnel in the composite stratum in combination with the abnormal state analysis result of the initiation network layout control in the composite stratum, lithology interactive distribution data and soft interlayer data; optimizes the initial blasting design scheme according to the blasting risk situation evaluation result of the large-section tunnel in the composite stratum; thereby improving the safety pre-control capability of complex stratum blasting construction, optimizing the blasting energy distribution, and effectively controlling the profile forming quality and surrounding rock damage.

The application discloses a kind of based on deep learning acceleration identification parameter, space and the sensitivity analysis method of physical field in multi-field coupling system, comprising: constructing multi-field coupling numerical model: based on geological data to establish the multi-physical field coupling model of field scale;Based on Monte Carlo simulation generates training data set: generate multiple sets of parameter instances by Latin hypercube sampling, execute numerical simulation and store output results;Train deep learning agent model: use improved ResNet-18 architecture, with R 2 And RMSE is index optimization model parameter, establishes the regression mapping of parameter and output;Analysis three-level sensitivity: calculate global average first-order Sobol index, quantifies parameter sensitivity;Accumulate physical field parameter contribution value, distinguish dominant physical field and formulate decoupling strategy;Draw spatial sensitivity distribution map, optimize monitoring network layout.The application can quickly and efficiently identify key parameters, physical field and space region.

The invention relates to an integrated energy system station network multilayer collaborative optimization method based on GIS three-dimensional clustering, and the method comprises the following steps: 1, carrying out the equipment configuration and cost calculation of a three-dimensional clustering site selection result; 2, abstracting a researched area, and establishing a pipe network layout planning cost model; 3, solving according to a pipe network layout plan; 4, establishing a regional distributed energy system station network collaborative planning target model, and performing regional distributed energy system station network collaborative planning; and 5, solving according to the station network collaborative planning of the regional distributed energy system. The method provided by the invention is clear in logic and high in operability, can be suitable for locating and sizing planning of the regional comprehensive energy station, and avoids the problems of planning splitting, data dimension limitation, insufficient pipe network economy and the like of a traditional method.