32 results about "Facility planning" patented technology

The invention relates to the technical field of building digitization, in particular to a public service facility planning method and system based on population prediction. The planning method comprises the following steps: dividing residences in an object area into a plurality of residential areas, and predicting population scale data and population structure data of each residential area; determining the predicted number of people of each age group in each residential area within the preset age limit, and calculating the average value of the activity ability of each residential area in each year within the preset age limit; and determining the walking limit distance of the target group in each residential area in each year within a preset age limit according to the activity capability mean value, and taking the minimum value of the walking limit distance of each residential area within the preset age limit as a reference limit value. And determining the location of the public service facility in the object area, so that the distance value from each residential area in the object area to the location is smaller than or equal to the corresponding reference limit value. The method can improve the overall quality of urban planning, and has positive significance for saving social resources.

The invention relates to the technical field of urban planning, in particular to a charging facility planning method and device based on machine learning and a medium, and the method comprises the following steps: carrying out the grid division of a planning region, which comprises a plurality of charging service grids; carrying out vehicle ownership prediction and charging facility demand prediction to obtain a charging demand quantity; adopting a clustering algorithm to obtain a plurality of charging block areas with balanced charging demand quantity; and constructing an objective function by maximizing the station revenue of each charging block area, constructing constraint conditions by full coverage of charging demands, calling an aurora optimization algorithm to obtain an optimal planning scheme of the charging facilities, and completing the planning of the charging facilities by adopting the optimal planning scheme of the charging facilities. According to the method, the problems of incomplete analysis and unreasonable partition optimization in the prior art can be solved, and various influence factors of charging facility layout are comprehensively considered, so that efficient layout and resource allocation of a charging network are realized, and the overall quality of charging services and the user satisfaction are remarkably improved.

The invention relates to the field of community public service facility planning, in particular to a community public service facility refined configuration method, and provides an urban community public service facility refined planning method based on demand density. Integrating a facility demand density database; determining demand density threshold parameters of various types of community facilities, and debugging to obtain a refined facility content system; acquiring basic data such as a community road network and a community boundary to form a community basic information database; a community center point site selection algorithm is developed from three dimensions of road network reachability geometrical shape-demand density by using an ArcGis platform, boundaries are calibrated in combination with a multivariate method, and living circle boundaries of communities are re-divided for 5-10-15 minutes; carrying out ideal space layout and merging optimization on the facilities in combination with a refined facility content system; and comparing and correcting the new community facility layout with the original facility layout.

The invention provides an infrastructure planning method and device, equipment and a storage medium, and the method comprises the steps: obtaining the facility scale of a historical year, determining the length of a planning period, predicting the annual facility planning amount of each cooperation field in each region in the planning period through a time series method, and enabling the annual facility planning amount to serve as a revision standard, and enabling the cooperation fields to comprise electric hydrogen and carbon; obtaining a pre-established cross-regional domain collaboration model which is a planning model taking the lowest total feasible cost as an objective function; using a decomposition method to solve the facility planning quantity of each collaborative field in each year and each region of a planning period year by year under the condition that the objective function is met, taking a reference year as an initial comparison year, enabling the single-year cost of facility planning growth corresponding to a to-be-solved year and a previous comparison year to be lowest under the condition that the model constraint condition is met, and obtaining an initial result; correcting the initial result by using a revision standard to obtain the facility planning quantity of the to-be-solved year; and taking the facility planning quantity of the last year of the planning period as output.

The invention discloses a multi-agent simulation and planning optimization method based on man-machine interaction. The method comprises the steps of target site basic data acquisition, man-machine interaction intelligent platform establishment, community facility planning multi-scheme generation, community multi-agent simulation and supply and demand index measurement and calculation, and community facility planning scheme comparison, selection, optimization and comprehensive output. According to the method, a community facility planning scheme is generated in a man-machine interaction mode, a community facility supply and demand scene is simulated and evaluated through a multi-agent model, a man-machine interaction planning design process can be combined with the multi-agent model, and a foundation is laid for intelligent community facility layout and multi-agent auxiliary planning design. According to the method, the limitation that traditional community facility planning heavies the current situation of community facility construction and lightens the actual demand characteristics of community residents is overcome, and the problem that a planning scheme is intelligently generated and deduced and evaluated in a man-machine interaction mode is solved.

The invention discloses a community old-age care facility planning diagnosis and feedback method based on multiple agents. The method comprises five main steps of constructing a target community spatio-temporal data integration platform, constructing a target community elderly intelligent agent model, constructing a community old-age care facility planning scheme diagnosis intelligent agent, diagnosing a target community old-age care facility layout scheme, and performing decision feedback on the target community old-age care facility layout scheme. The invention aims to accurately analyze differentiated space-time behaviors of the old people in the community and excavate rules by applying a crowd digital portrait technology, and construct an old people intelligent agent in a target community; and determining key index composition of community pension facility planning scheme diagnosis and constructing a diagnosis agent, so that scheme diagnosis of facility layout can be performed and optimization decision feedback can be performed in combination with a real community physical environment and a pension facility planning scheme. According to the invention, layout diagnosis and optimization suggestion output of the target community old-age care facility planning scheme can be realized.

The present invention relates to a method for planning new transportation energy facilities on highways, including determining basic parameters of electric vehicles and highways; simulating electric vehicle travel on highways through dynamic traffic models; simulating the spatiotemporal distribution of electric vehicle charging loads using the Monte Carlo method; evaluating the utilization potential and complementarity of wind and solar energy in highway service areas; establishing a new transportation energy facility planning model, including: establishing an objective function and constraint conditions; and solving the new transportation energy facility planning scheme using an improved genetic algorithm based on the spatiotemporal distribution of electric vehicle charging loads and the new transportation energy facility planning model. Compared with the prior art, the present invention improves the existing site selection and sizing methods from the aspects of electric vehicle parameter characterization, dynamic traffic simulation, wind and solar energy evaluation, and provides guidance for the site selection and sizing of new transportation energy facilities on highways.

The application provides a linear infrastructure path generation method of a structure evolvable energy field under multi-agent conflict, belongs to the cross technical field of civil construction engineering, traffic engineering and intelligent decision, and the method comprises the following steps: S1. multi-agent strategy game modeling and parameter solving; S2. structure evolvable energy field construction; S3. three-dimensional elastic band modeling and constraint force application; S4. multi-stage evolution convergence and three-dimensional linear path generation. The application aims at the technical pain points in the existing linear infrastructure planning, such as strategy-physical-geometric fragmentation, energy field static rigidity, field fragmentation and the need for a large number of post-corrections, and realizes the deep integration of society-physical-geometric by constructing the structure evolvable energy field and the multi-stage collaborative evolution mechanism, so that the optimal linearity naturally emerges, the planning cost is reduced, the decision efficiency is improved, and a unified solution is provided for the linear infrastructure planning under complex scenes.

The invention relates to a key facility layout analysis planning system, which belongs to the technical field of facility planning, and comprises a data layer, the output end of the data layer is in signal connection with an analysis modeling calculation layer, and the output end of the analysis modeling calculation layer is in signal connection with an application layer; the data layer comprises a data acquisition preprocessing module; the analysis modeling calculation layer comprises a demand analysis module, a facility modeling module, a layout analysis module and a layout optimization module; and the application layer comprises a visual display module and a report generation module. According to the key facility layout analysis and planning system, by integrating the functions of the data acquisition and preprocessing module, the demand analysis module, the facility modeling module, the layout analysis module, the layout optimization module, the visual display module and the report generation module, the logistics process can be effectively optimized, the transportation cost can be reduced, and the personnel cooperation efficiency can be effectively enhanced; the communication cost is reduced; the method has the advantages of improving operation efficiency, optimizing resource utilization, and being safe and reliable.

The present invention relates to the field of facility planning technology, and specifically to a community shared facility layout analysis and planning system. It includes a feature analysis module, an associated district determination module, and a planning determination module. By clarifying the terrain features, terrain area, passenger flow, and traffic density of the facility planning area, actual features are constructed, and the associated shared facility area is pre-determined in the resource database through the actual features, and the facility planning scheme is obtained. The application status value of the facility planning scheme is obtained by analyzing the risk, loss, and usage of the facility planning scheme, and the risk of the facility planning scheme in the actual application process is judged, so as to determine a target planning scheme that is better and more suitable for the facility planning area among a large number of facility planning schemes. On the one hand, it speeds up the layout planning of the facility planning area, and on the other hand, it enables the facility planning area to have less risk in the subsequent application process after the layout planning is carried out, and is more suitable for actual application.

The present invention relates to the technical field of urban planning, and specifically to a charging facility planning method, device, and medium based on machine learning. The method comprises the following steps: gridding the planning area, including multiple charging service grids; predicting the number of vehicles in use and the demand for charging facilities to obtain charging demand; using a clustering algorithm to obtain multiple charging blocks with balanced charging demand; constructing an objective function based on maximizing the revenue of each charging block, constructing constraints based on full coverage of charging demand, calling the Aurora optimization algorithm to obtain an optimal planning scheme for charging facilities, and completing charging facility planning using the optimal planning scheme for charging facilities. The method of the present invention can solve the problems of incomplete analysis and unreasonable optimization zoning in the prior art, comprehensively consider various factors affecting the layout of charging facilities, thereby achieving efficient layout and resource allocation of the charging network, and significantly improving the overall quality of charging services and user satisfaction.

Congestion analysis tool for facility planning in hydrocarbon reservoirs, comprising a grid selection module, for defining an area of interest and sub-areas thereof; a congestion calculation module, that calculates congestion factors for the predefined area of interest and sub-areas thereof based on spatial data of facility features of a hydrocarbon reservoir; and a scenario module, that enables performing what-if scenarios to improve space management.

The application discloses a 3D parallel line layout solving method considering adaptive material loading and unloading points and obstacles, relates to the technical field of facility layout, and mainly comprises the following steps: establishing a target function, initializing parameters, generating an initial population, converting infeasible solutions in the initial population into feasible solutions, optimizing the initial population, removing duplicate solutions in the initial population and generating feasible solutions to fill the initial population, dividing the initial population into elite solutions and non-elite solutions, performing a tabu search operation on the elite solutions, performing a genetic operation on the non-elite solutions, combining the solutions after the two operations into a new population, outputting an optimal sequence and decision variables of the model according to the number of iterations, and solving the accurate coordinates of the material loading and unloading points on each facility and the final target value of the model by using the optimal sequence and the decision variables. The application considers adaptive material loading and unloading points and obstacle interference factors in three-dimensional space, and the obtained model is closer to the real situation, which is helpful for formulating more scientific facility planning and material handling strategies.

This invention discloses an iterative evolution method for multimodal design outcomes based on virtual construction, comprising the following steps: Step 1: Standardizing and modularizing the design outcomes; Step 2: Establishing a virtual construction environment and creating corresponding virtual scenes based on the modularized design outcomes; Step 3: Importing 2D and 3D preliminary design outcomes into the virtual construction environment; Step 4: Iteratively evolving the preliminary design outcomes based on simulation results to form detailed design outcomes; Step 5: Iteratively evolving the detailed design outcomes based on simulation results to form refined design outcomes; Step 6: Iteratively evolving the refined design outcomes based on simulation results; Step 7: Integrating all the modular virtual scenes established in Step 6 to simulate the overall design outcome scheme, construction progress, materials and construction processes, and temporary facility planning at the construction site. This invention's iterative evolution method for multimodal design outcomes based on virtual construction not only improves the efficiency of design work but also enhances the participation of owners and other stakeholders by providing a more intuitive and immersive experience, thus playing a significant role in the design and creative industries.

A method can include generating equipment specifications for a facility project at a field site by simulating physical phenomena using one or more computational simulators; using the equipment specifications and a computational facility planner system, generating a work breakdown structure for the facility project, where the work breakdown structure represents activities to be performed to deliver a defined scope of the facility project within a defined time; rendering a graphical user interface to a display that includes graphical controls for dependencies of the activities and equipment characterized by the equipment specifications; responsive to input received via one or more of the graphical controls, automatically updating at least durations of the activities; and, based at least in part on the updating, generating an optimal scenario for the facility project.

The invention provides a multi-stage charging facility planning method considering distributed energy and energy storage, and relates to the technical field of urban charging infrastructure collaborative planning. The method comprises the steps of S1, modeling and operation of an EVCS, including load flow calculation after grid connection of the EVCS, ESS modeling, DG modeling and multi-stage charging facility modeling; s2, carrying out charging facility capacity modeling, and determining the optimal capacity of the charging facility through variable definition and constraint by taking elimination of vehicle charging queuing as a target; s3, power distribution network reinforcement modeling: introducing a reinforcement coefficient to optimize the line capacity of the power distribution network in combination with the energy characteristics of the charging station; s4, constructing an objective function, integrating the energy consumption cost, the investment cost and the reinforcement cost, realizing the minimization of the total cost of the whole planning cycle, and determining the optimal operation mode of the DG and the ESS; s5, scene parameters are set, an optimal scene output result is obtained, and annual costs under different cases are compared; according to the method, the cost is minimized, the optimal operation mode of the DG and the ESS is determined, the long-term operation cost is reduced, and the operation pressure of a power grid is reduced.

The invention is suitable for the technical field of city planning, and provides a design method and system for smart city planning, and the method comprises the following steps: calling city road network information and service facility information, the service facility information comprises a plurality of service facilities, and each service facility corresponds to a facility type, a service coordinate and service energy efficiency; calculating the energy efficiency cardinal number of each living area, calling the population number of each living area, and calculating the per capita energy efficiency value; and determining facility planning information based on the position of each living area, the per capita energy efficiency value and the facility type, wherein the facility planning information comprises the facility type, the planning position and the service energy efficiency. According to the method, the energy efficiency cardinal number of each living area is calculated by integrating the weight of the service facility, the service energy efficiency, the distance attenuation coefficient and the path distance, and the service facility supply level of each area can be accurately reflected. By calculating the per capita energy efficiency value, the supply and demand matching degrees of service facilities in different areas can be visually compared, and data support is provided for facility supplementation.

The invention provides an aversive facility site selection method based on a power graph and an improved genetic algorithm, and belongs to the technical field of facility planning and site selection. By combining the Maximin site selection model, the Power graph, the improved genetic algorithm and the local search algorithm, the decision fairness and acceptability of aversive facility site selection are improved, the aversive facility site selection method has more accurate global search capability, and the negative influence on nearby residents or environments is reduced to the greatest extent. Specifically, double targets of maximizing public benefits and minimizing adverse effects are considered through a Maximin site selection model; the Power graph can accurately describe the proximity and influence range of each potential position; the application of the improved genetic algorithm more effectively finds a globally optimal solution in a complex search space, and effective position optimization is carried out by simulating an evolutionary process; the local search algorithm further improves the understanding precision, and ensures that a better solution is achieved in a local area.

The invention relates to a refuge equipment planning method and system based on traditional village feature analysis, and relates to the technical field of refuge equipment planning, and the method comprises the steps: obtaining the wood type, humidity, wood building topology and distribution information of a target village, and obtaining the ignition point distribution information through the ignition point mode analysis; a preset future time zone weather forecast is loaded, and temperature maximum value distribution information is obtained through analysis of a temperature extreme value prediction model bound with villages in combination with environment temperature and humidity; extracting a quasi fire area whose temperature maximum value is greater than or equal to the ignition point; when the number of the quasi-fire areas is larger than 0, refuge equipment distribution and material storage states are loaded; and configuring a refuge scheme, producing a village fire refuge strategy, and executing a preset future time zone refuge plan. The problems that in traditional village fire protection, wood building characteristics and extreme weather influence under climate change are not combined, accurate fire pre-judgment and adaptive refuge planning are lacked, personnel evacuation and escape are difficult in the fire, and the protection effect is poor are solved.

The application relates to a power facility planning and designing method and device; the method comprises the following steps: predicting the power demand of the selected power facility in a preset area according to historical operation data, determining the load information corresponding to the selected power facility, and dividing the selected power facility into a first power facility and a second power facility based on the load information; determining the center point position and the planning area according to the position of the second power facility; when the first power facility exists in the planning area, connecting the first power facility in the planning area to any second power facility in the planning area, and reacquiring the load state of the first power facility after being connected; determining whether to maintain the current connection state or take the center point position as a new power facility site according to the load state of the first power facility after being connected; and when the first power facility does not exist in the planning area, taking the center point position as a new power facility site; the method can improve the planning efficiency and planning accuracy.

The application discloses a climate-adaptive land space ecological infrastructure planning layout system and method, relates to the field of facility management, and can automatically adjust a redundancy multiple according to the frequency of historical extreme climate events, dynamically optimizes a climate data processing strategy, and enhances the adaptability and anti-risk ability of the system by introducing an extreme climate threshold judgment mechanism. In addition, by collecting climate data and dynamically adjusting the valve state, the system automatically optimizes the drainage pipe network operation strategy, improves the self-adaptability of the system, and simultaneously, by statistically analyzing the valve switching frequency and automatically upgrading the frequently-switched valve to a remote control valve, the self-optimization and upgrading of the system are realized. In summary, the application can significantly improve the configuration efficiency, operation efficiency and maintenance efficiency of the land space flood prevention infrastructure, and provides scientific technical support and management means for urban flood control and drainage and ecological infrastructure construction.

To create an efficient facility plan which reduces costs in facility investment and maintenance management of a facility in total.SOLUTION: A facility planning system for creating a facility plan for a facility group, comprises: a calculation unit that executes calculation processing; and a storage unit that can be accessed by the calculation unit. The facility planning system comprises: a risk evaluation unit in which transition of a risk of the facility group is evaluated by the calculation unit; a congestion situation evaluation unit in which transition of a congestion level of the facility group is evaluated by the calculation unit; and a planning unit in which the facility plan for the facility group is created from the transition of the risk of the facility group and the transition of the congestion level of the facility group by the calculation unit. The planning unit creates a facility plan that reduces a total cost so that a risk of each facility and a congestion level of each facility do not exceed allowable values, respectively, a total amount of construction in a predetermined period does not exceed an upper limit of construction capacity, and a total risk in the predetermined period does not exceed a total risk allowable value.SELECTED DRAWING: Figure 1

A 3D parallel layout solving method considering adaptive material loading and unloading points and obstacles relates to the technical field of facility layout, and mainly comprises the following steps: establishing an objective function, initializing parameters, generating an initial population, converting an infeasible solution in the initial population into a feasible solution, and optimizing the initial population. Removing repeated solutions in the initial population, randomly generating feasible solutions to fill the initial population, dividing the initial population into an elite solution and a non-elite solution, performing tabu search operation on the elite solution, performing genetic manipulation on the non-elite solution, combining the solutions after the two operations into a new population, and outputting an optimal sequence and a decision variable of a model according to the number of iterations. Utilizing the optimal sequence and the decision variable to solve and obtain the accurate coordinate of the material loading and unloading point on each facility and the final target value of the model; according to the method, adaptive material loading and unloading points and obstacle interference factors in a three-dimensional space are considered, the obtained model is closer to the real situation, and subsequent making of a more scientific facility plan and a material carrying strategy is facilitated.

The invention discloses a virtual construction-based multi-modal design achievement iteration derivation method. The method comprises the following steps of 1, carrying out standardization and modularization division on a design achievement; step 2, establishing a virtual construction environment, and establishing a corresponding virtual scene according to a design result of modular division; 3, importing a two-dimensional and three-dimensional preliminary design result into the virtual construction environment; 4, iteratively deriving the preliminary design result according to the simulation result to form a detailed design result; 5, iteratively deriving the detailed design result according to the simulation result to form a deepened design result; step 6, iteratively deriving a deepening design result according to a simulation result; and 7, integrating all the modularized virtual scenes established in the step 6, and carrying out simulation of an overall scheme, a construction progress, materials and a construction process of a design result and construction site temporary facility planning simulation. According to the multi-modal design achievement iteration derivation method based on virtual construction, the efficiency of design work is improved, and the degree of participation of owners and other stakeholders is enhanced by providing more visual and immersive experience, so that the method plays an important role in design and creative industries.

The invention provides a public facility layout method and system based on user preference and behavior simulation, and the method is technically characterized in that the method comprises the steps: obtaining the facility selection preference of a user through a narrative preference questionnaire, and describing the influence of each element on a selection behavior through a discrete selection model; a selection probability prediction model is established in combination with overall or sub-crowd parameters; simulating a facility selection pattern of a demand point through a Monte Carlo method, taking average utility maximization as a core optimization target, and adopting a genetic algorithm to realize iterative search of facility positions to obtain an optimized layout scheme meeting efficiency, fairness and multi-dimensional demands; matching relation analysis and index calculation of utility, distance, coverage rate and the like are carried out on the result, and a visual scheme is output, so that the defects that a traditional position-distribution model only considers the distance, ignores individual differences and depends on candidate points can be overcome, and a scientific and reasonable optimization tool is provided for public service facility planning.

The present invention discloses a drone facility planning method, device, and drone delivery system, wherein the method includes: obtaining multiple drone order information, determining multiple drone delivery routes based on the multiple drone order information; determining the delivery parameters of the target drone based on the multiple drone order information; determining a deployment strategy for drone transfer facilities based on the multiple drone delivery routes and the delivery parameters; the deployment strategy is used to ensure that the location and number of the drone transfer facilities can meet the transfer requirements of the target drone to complete the multiple drone orders. It can be seen that the present invention can enable drones to use the deployed drone transfer facilities for transfer when completing order tasks, ultimately achieving more efficient drone delivery and providing users with a better delivery service experience.

The invention belongs to the technical field of new energy infrastructure planning, and particularly relates to a charging facility layout and demand optimization method and device, and the method comprises the steps: collecting multi-source heterogeneous data of charging facilities in a target region; using the multi-source heterogeneous data to determine charging demand data; based on the charging demand data, utilizing a multi-target optimization layout algorithm to obtain an initial charging facility layout scheme of the target area; optimizing the initial charging facility layout scheme to obtain a final charging facility layout scheme of the target area; the objective function of the multi-objective optimization layout algorithm is constructed by taking minimization of waiting time, maximization of coverage rate, power grid balance degree and minimization of cost as objectives. According to the method, the change of the charging demand can be predicted more comprehensively and more accurately, a more scientific basis is provided for the layout of the charging facilities, the reasonable distribution of the charging facilities is realized, the utilization rate and the service level of the facilities are improved, and powerful support is provided for the rapid development of the electric vehicle industry.

The invention discloses a site selection method, device and equipment for a four-electric-field apron of a railway and a storage medium, and relates to the technical field of infrastructure planning, and the site selection method for the four-electric-field apron of the railway comprises the steps: obtaining the distribution point data of the four-electric-field apron; based on the four-electric-field-apron point distribution data, obtaining a plurality of standby site selection points of a single field apron; and based on the standby site selection point location and a preset site selection evaluation model, obtaining a score of the standby site selection point location so as to complete site selection. According to the method, the plurality of standby site selection points are scored through the preset site selection evaluation model, so that the site selection of the four electric field terraces of the railway is objectively and accurately completed. The method can effectively avoid the interference of subjective factors in the manual site selection process, improves the scientificity and reliability of site selection, and optimizes the quality of site selection decision.

The invention relates to the field of charging facility planning, and provides a charging facility planning method and system, a medium, equipment and a computer program. The method comprises the following steps: carrying out block division on a to-be-planned region, and designing a weight threshold value of a key index; based on the charging facility related data and the new energy automobile related data of each block, calculating a charging equipment related index and a new energy automobile related index respectively, and determining the weight of each charging equipment related index and the weight of each new energy automobile related index respectively by combining the weight threshold of the key index; calculating social resource related indexes based on the social resource related data of each block, and determining the weight of each social resource related index; obtaining a total weight based on the accumulated sum of the weights of all the charging equipment related indexes, the weights of all the new energy automobile related indexes and the weights of all the social resource related indexes; and performing grade division on the total weight, and obtaining the station building scale of the charging station according to the divided grades.

The invention discloses a method for introducing student-friendly facility planning in urban and rural space planning to facilitate students going to school, i.e., constructing a student going-to-school route endpoint data set in a GIS (Geographic Information System) constructed on the basis of surveying and mapping data by constructing a student going-to-school route endpoint data set; and overlapping and screening the school going routes of all the students to obtain intersection points and overlapped line segments exceeding a threshold value, further obtaining candidate places for setting the student-friendly facilities, and after comprehensive scoring is performed through multi-criterion decision analysis, determining an area finally used for building the student-friendly facilities. According to the method, an improved A star algorithm is adopted during calculation of the student going-to-school route, the distance factor, the safety factor and the comfort factor are considered, the distance, safety and comfort in the student going-to-school route are considered, and consideration of student safety and comfort is introduced when student-friendly facilities are introduced in urban and rural space planning; and the school going route of the student is safer and more comfortable.