202 results about "Network layout" patented technology

The invention provides an intelligent water affair scheduling method based on LSTM and multi-objective optimization, and belongs to the technical field of intelligent water affair management and urban water supply system optimization. Comprising the following steps: based on water consumption data, performing analysis through a long short term memory neural network to obtain water consumption demand prediction; based on the water consumption demand prediction, combining pipeline information and pipe network layout data, performing pipe network pressure partition optimization, and obtaining a pipe network layout optimization result; and based on the pipe network layout optimization result, combining the historical operation data of the equipment and the water demand prediction, carrying out efficiency analysis on the pump station equipment to obtain an operation combination scheme of the equipment.

An example system including a vehicle multi-zone monitoring platform, including a network layout circuit structured to interpret a virtual network layout for a vehicle having a multi-zone network; a network characterization circuit structured to interpret network activity for the vehicle; and a network analysis circuit structured to determine a virtual network map in response to the virtual network layout and the network activity, and to provide the virtual network map to a user interface.

The invention provides an intelligent heat supply operation and maintenance scheduling system integrating inspection and repair. The intelligent heat supply operation and maintenance scheduling system comprises a monitoring data acquisition module used for acquiring temperature, flow and pressure data of a water supply end and a water return end; the real-time monitoring and early warning module is used for monitoring the running state of the heat supply pipe network in real time and quickly positioning the fault occurrence position; the intelligent routing inspection path planning module is used for planning an optimal routing inspection path according to the layout of the heat supply pipe network and the actual fault condition; the fault first-aid repair resource optimization configuration module is used for formulating a resource configuration strategy according to the planned optimal inspection path and the requirement of the maintenance task; and the user interaction and authority management module is used for providing a user interface, facilitating the operation and query of the user, and simultaneously sending a notification to the user in time to inform the maintenance progress and result. According to the invention, the optimal planning emergency repair route can be given according to the priority of the emergency repair task in combination with the actual condition of the road network, pipe network faults are efficiently eliminated, and the completion quality of the emergency repair task is improved.

Method for installing and / or optimizing a sensor network comprising a plurality of sensors, said method comprising the steps of receiving environmental data related to an area to be sensed, preferably an area containing a luminaire, and optionally constraint data related to the sensor network, identifying one or more suitable applications configured for using data sensed by one or more of the plurality of sensors of the sensor network, determining at least one characteristic or optimized characteristic of the sensor network based on the environmental data, the identified one or more applications, and optionally on the constraint data. A computer system or platform or infrastructure and an edge device corresponding to the method is also provided.

The invention discloses a collaborative planning method for a regional integrated energy system, and the method comprises the steps: firstly collecting regional historical energy consumption data and various external factor data, and predicting an energy demand through employing a gray prediction and multiple linear regression combined algorithm; exploring existing energy supply facilities in the region and evaluating renewable energy potential; determining a candidate type of the integrated energy system component according to the result, establishing an optimal configuration model, and solving through a particle swarm optimization algorithm; constructing an energy network layout planning model, and determining an optimal topological structure and parameters of the network; establishing a dynamic operation model, and formulating a collaborative operation strategy by using a model prediction control algorithm; and finally, comprehensively evaluating the planning scheme, and analyzing and adjusting the scheme by utilizing sensitivity according to an evaluation result. According to the method, multiple factors are comprehensively considered, and the problems that in existing regional integrated energy system planning, demand prediction is not accurate, resource evaluation is not comprehensive, component configuration and network layout lack optimization collaboration, and the operation strategy is single are effectively solved.

The invention discloses a water supply control method and system based on fluid flow self-adaptive adjustment. The efficiency and reliability of a water supply system are improved. The method comprises the steps that pipe network layout information of a target water supply area is acquired, a water supply network topological structure is constructed, and the layout position of a water supply monitoring sensor is determined; constructing a water supply monitoring simulation model based on a topological structure and sensor layout, monitoring a water supply condition in real time, and identifying water demand characteristics; constructing an adaptive flow regulation model according to the water demand characteristics, analyzing demands, determining water supply control parameters, and generating a water supply control strategy; the water supply control is realized through the strategy, the satisfaction degree of the water demand is evaluated in real time, and the water supply control strategy is optimized. The water supply system can intelligently adapt to water demand changes, and the operation efficiency and service quality of the water supply system are improved.

The invention relates to the field of ecological monitoring, in particular to an unmanned aerial vehicle monitoring network layout method considering ecological system service function flow, which comprises the following steps of: constructing an ecological system service supply and demand area and an ecological resistance surface of the ecological system service supply and demand area, and identifying an ecological system service corridor area and an ecological strategy point; according to the ecological system service supply and demand area, the ecological system service corridor area and the ecological strategy point, an unmanned aerial vehicle monitoring network is constructed to form a unified and independent unmanned aerial vehicle ecological system monitoring system, reasonable layout of unmanned aerial vehicle networking is achieved, the high-frequency, real-time and dynamic monitoring requirement is met, and the monitoring efficiency is improved. Accurate matching of monitoring area coverage and monitoring requirements of the unmanned aerial vehicle is realized.

The invention relates to a breeding environment intelligent control system based on an environmental response type photosensitizer, and relates to the field of breeding, and the system comprises a sensing network laying module which is used for carrying out sensor laying in a target breeding space; the time sequence data acquisition module is used for acquiring time sequence sensing data with sensing position marks; the index distribution prediction module is used for carrying out distribution prediction on a plurality of key control indexes of a target breeding space according to the time sequence sensing data and obtaining a prediction index field; the combination matching module is used for screening and determining a plurality of putting points according to the prediction index field, and matching a target photosensitizer combination of each putting point in a photosensitizer library of a target scene according to feature index label groups corresponding to the plurality of putting points; the dynamic updating module is used for iteratively updating the prediction index field; and the adaptive adjustment module is used for adaptively adjusting the photosensitizer combination according to the dynamic prediction index field and intelligently controlling the breeding environment.

The invention relates to a network layout method and system for a distributed photovoltaic power station, and the method comprises the steps: firstly screening out alternative places based on sunlight and solar radiation, considering the influence of climate on the performance, and determining places suitable for climate conditions; evaluating the current land utilization situation, and determining a land parcel suitable for photovoltaic construction; then analyzing the landform, and planning equipment installation; determining power station installation data according to the installation demand in combination with land conditions; then, the admission ability is evaluated, the installed capacity is adjusted, and the access point is confirmed; similar power stations are divided into clusters for coordination; and finally planning a power transmission line to complete layout. According to the method, objective environmental conditions are collected and analyzed and combined with actual requirements, the layout mode is finally screened and confirmed, manual intervention is reduced in the process to improve efficiency, meanwhile, the layout mode of the photovoltaic module is optimized through site selection and positioning, factors such as shadow, sunlight, land and installation are fully considered, maximum energy collection is achieved, and the energy utilization rate is increased. And the requirements during layout construction are comprehensively considered.

The invention relates to the field of ecological monitoring, in particular to an unmanned aerial vehicle monitoring network layout method for mangrove forest ecological monitoring, and the method comprises the steps: constructing a mangrove forest ecological safety source region and an ecological resistance surface of the mangrove forest ecological safety source region, and recognizing an ecological corridor region and an ecological strategy point; according to the mangrove forest ecological safety source area, the ecological corridor area and the ecological strategy point, an unmanned aerial vehicle monitoring network is constructed to form a unified and independent unmanned aerial vehicle mangrove forest ecological system monitoring system, reasonable layout of unmanned aerial vehicle networking is achieved, the high-frequency, real-time and dynamic monitoring requirements for mangrove forests are met, and the monitoring efficiency is improved. Accurate matching of monitoring area coverage and monitoring requirements of the unmanned aerial vehicle is realized.

The invention provides a storage network planning method and a logistics simulation system for energy enterprise materials, and relates to the field of energy enterprise material planning, user data is received through an interactive interface, and the user data is pre-processed and stored in a database; after a user triggers a solving instruction, a back end calls a solver to construct a mixed integer programming model, a warehouse network layout scheme is iteratively optimized based on a constraint satisfaction algorithm, and a result is stored back to a database; the support visualization module generates a multi-dimensional chart to display data before and after optimization, provides a data export function to output a portable document according to a preset format, integrates business rules, algorithm solution and visual interaction, supports dynamic optimization and rapid verification of an energy storage network, realizes dynamic collaborative optimization of storage site selection, inventory decision and transportation planning, and improves the efficiency of the energy storage network. And through introduction of multi-scene and multi-dimensional simulation analysis capability, an integrated optimization and simulation platform and a human-computer interaction friendly visual decision-making interface are constructed.

The present invention discloses a method for modeling ultra-large-scale MIMO geometric random and beam-domain wireless channels, and the specific steps include: 1) setting simulation parameters, network layout, etc., generating initial large-scale parameters, and generating initial clusters based on model initialization parameters; 2) updating large-scale and small-scale parameters; 3) generating geometric random channel model channel coefficients, steering matrices, and beam-domain channel matrices; 4) analyzing channel characteristics, and verifying the accuracy of the model by comparing with measured data. The wireless channel modeling method established by the present invention supports spherical waves and spatial non-stationary characteristics, and can realize the conversion from geometric random to beam-domain channel models under near-field conditions. The model accuracy is verified by the consistency of simulation and measurement results of space-time-frequency correlation functions and channel capacity. The present invention has guiding significance for the design and performance evaluation of ultra-large-scale MIMO communication systems.

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 discloses a cellular coalbed methane exploration and development well pattern deployment method, which comprises the following steps: step 1, carrying out geological exploration and analysis, and determining the distribution, reservoir characteristics and geological conditions of coalbed methane; 2, according to occurrence characteristics and geological conditions of the coal bed gas, a honeycomb type well pattern layout is designed; step 3, accurately arranging a well position: optimizing the well position by utilizing a geographic information system and a computer simulation technology; 4, drilling operation is conducted, specifically, in the drilling process, a directional and horizontal drilling technology is adopted, and it is ensured that drilling is conducted according to the preset track and angle; 5, fracturing operation is conducted, specifically, fracturing fluid is injected into the well through a high-pressure pump, cracks are formed, and the permeability of the coal seam is improved; and step 6, carrying out production testing and monitoring. According to the method, the honeycomb structure is simulated, the mining wells are evenly distributed on the coal seam, the coal seam area can be covered to the maximum degree, comprehensive covering and efficient development of coal seam gas resources can be achieved, and the recovery rate of coal seam gas is increased.

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 multi-mode soil moisture content sensor layout method, and relates to the technical field of sensor network layout and optimization. The problem that soil moisture content monitoring quality and low operation cost cannot be considered at the same time in a traditional laying method is solved. According to the method, a soil moisture status state estimation vector and an error covariance estimation vector are obtained and corrected by using a constructed measurement and calculation model and a constructed measurement model, and an objective function is constructed by using the corrected error covariance estimation vector and the soil moisture status state estimation vector to minimize estimation error, state estimation deviation and sensor operation cost. And according to a set constraint condition, enabling the target function to be minimum for constraint, and carrying out optimization solution on the target function by utilizing an optimization algorithm to obtain an optimal layout position of each sensor. The method is mainly used for carrying out optimized layout design on the sensors in the farmland.

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 provides a website layout method and device based on spatial clustering analysis and electronic equipment, and relates to the field of website layout, and the method comprises the steps: determining the types of all target products according to historical sales volume data, carrying out the grid processing of a target hot spot region, determining each sub-grid region, and carrying out the grid processing of the target hot spot region; calculating a variance value between the grid clustering center and a standard grid clustering center, and analyzing and processing the sub-grid regions by using kernel density to obtain an aggregation region; and adjusting the sales volume of each target product by using the variance value and the aggregation region to obtain the adjusted sales volume of each target product, determining the order quantity of the target products according to the target POI, determining the fishing net region with the maximum order quantity as a target network point, and determining the product configuration quantity of each target product. According to the method, store layout site selection, product selection and product quantity configuration can be realized, spatial distribution of store site selection factors is evaluated by adopting spatial clustering, the order quantity of a fishing net area is calculated, and a more reasonable network layout is given.

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.

Aspects of the present disclosure include system, methods, and software for buffer insertions. In one example, a method includes receiving a clock signal network layout, wherein the clock signal layout comprises a clock source electrically coupled to a plurality of clock sinks via a plurality of net segments, and creating a plurality of buffering solutions, wherein each buffering solution of the plurality of buffering solutions comprises a plurality of buffers inserted on one or more net segments of plurality of net segments. The method further includes assigning each buffering solution a timing delay value and an area value, and selecting a buffering solution of the plurality of buffering solutions based on the timing delay value and the area value. The method additionally includes committing the selected buffering solution into an integrated circuit design comprising the clock signal network.

The invention provides a communication deployment method for monitoring an intelligent power distribution network, and belongs to the technical field of telecommunication, and the method comprises the steps: 1, analyzing a topological structure of the power distribution network, and determining a topological graph of the power distribution network; 2, analyzing the topological graph of the power distribution network, and further determining a data transmission demand coefficient of each node in the power distribution network; step 3, determining a communication mode of each area in the power distribution network based on the data transmission demand coefficient of each node in the power distribution network, and further generating a preliminary communication network layout in combination with the topological graph of the power distribution network; step 4, carrying out performance simulation on the communication network based on the preliminary communication network layout so as to obtain a network performance analysis report; and step 5, based on the network performance analysis report, optimizing and adjusting the communication network layout, and further determining a final communication network deployment scheme.

The invention discloses a public space social behavior and environment influence identification method based on a sensing equipment network. The method comprises the following steps of public space area selection, measuring point layout and sensing equipment distribution, public space physical environment monitoring, public space social behavior identification, behavior environment index influence analysis and influence rating and output. Based on the network layout of the sensing equipment, the physical environment of the public space is monitored through the environment sensing equipment, the social behaviors of the public space are identified through the behavior sensing equipment, the influence relation between the environment indexes and the behavior indexes is comprehensively analyzed, and the influence degrees are sequenced and output. The method can be used for identifying the behavior environment influence relationship in the urban intelligent sensing field, and is beneficial to building a more efficient and comfortable urban public space.

The invention relates to the field of ecological monitoring, in particular to an unmanned aerial vehicle monitoring network layout method based on geographic space information, and the method comprises the steps: constructing an ecological source service supply region and an ecological resistance surface of the ecological source service supply region, and recognizing an ecological corridor region and an ecological strategy point; according to an ecological source service supply area, an ecological corridor area and an ecological strategy point, an unmanned aerial vehicle monitoring network is constructed to form a unified and independent unmanned aerial vehicle ecological system monitoring system, so that reasonable layout of unmanned aerial vehicle networking is realized, high-frequency, real-time and dynamic monitoring requirements are met, and the monitoring efficiency is improved. Accurate matching of monitoring area coverage and monitoring requirements of the unmanned aerial vehicle is realized.

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.

The invention relates to the technical field of double-loop network links, and particularly discloses a redundancy system of a double-loop network link, which comprises a main rack and a plurality of extension racks, and is characterized in that the main rack comprises a first controller, a second controller, a first CPU module base, a second CPU module base, a plurality of first I / O modules and a plurality of first I / O module bases, the first CPU module base is positioned at the head end of the main frame; according to the invention, by optimizing the network layout and reducing the transmission hop count of the data packet in the double-loop network, the network delay is reduced, the redundancy is ensured, the complexity of a redundant path is reduced as much as possible, the introduction of excessive extra delay is avoided, and a switch with high forwarding rate and low delay is selected, so that the overall performance of the network is improved, and the network performance is improved. High-quality optical fibers and cables are adopted, signal attenuation and transmission delay are reduced, and the length and complexity of a transmission path are correspondingly reduced, so that the phenomenon that network response time is increased is avoided, and use by people is facilitated.

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 composite chain mountain disaster monitoring network layout method and device and a storage medium. The method comprises the following steps: acquiring geological environment data of a target area; calculating the site selection height of the meteorological radar equipment; calculating the site selection position of the ground rainfall station; functional region division is carried out on the monitoring drainage basin to obtain mountain disaster monitoring functional regions, and the mountain disaster monitoring functional regions comprise a starting region, a conversion and circulation region and a deposition region; according to the disaster formation characteristics of the starting area, calculating the position of starting area equipment of the starting area monitoring equipment in the starting area; according to the disaster formation characteristics of the conversion circulation area, calculating the position of conversion circulation area equipment of the conversion circulation area monitoring equipment in the conversion circulation area; calculating the deposition area equipment position of the deposition area monitoring equipment in the deposition area according to the disaster formation characteristics of the deposition area; and performing monitoring network layout on the target mountain land to obtain a monitoring network layout result. According to the invention, the monitoring network layout is realized, and the monitoring accuracy and layout comprehensiveness are improved. The method can be applied to the technical field of geological disaster monitoring.