23 results about "Comprehensive planning" patented technology

The present invention discloses a city planning simulation system based on real-scene three-dimensional (3D) and relates to the technical field of city planning. The system comprises the following components: a data acquisition module, a real-scene three-dimensional (3D) and disaster simulation module, a comprehensive planning module and a comprehensive evaluation module. The present invention plans the optimal emergency evacuation route by utilizing a path planning algorithm and taking into account the area affected by the damaged infrastructure and the recovery time of the infrastructure, thereby not only ensuring the safety and feasibility of the evacuation route but also greatly improving the evacuation efficiency. At the same time, according to the emergency evacuation route planning results and the infrastructure resilience evaluation results, the type and layout of the rescue facilities are determined, the service scope and coverage of the rescue facilities are analyzed by a geographic information system, the layout of the rescue facilities is optimized, and it is ensured that the rescue resources can efficiently and accurately reach the disaster-stricken area.

The invention relates to the technical field of green intelligent building planning and design, and discloses a green intelligent building multi-factor fusion planning and design method. The method comprises the steps of firstly obtaining geographic information data and ecological environment parameters of a building site, collecting peripheral multi-dimensional environment data and performing fusion processing, constructing a three-dimensional space topology model, and generating an initial space planning model; and then climate simulation and resource circulation conditions are loaded, a comprehensive planning analysis model is formed, and dynamic collaborative evaluation indexes are output. A multi-factor coordination model and key coordination parameters are obtained by constructing a multi-objective optimization pre-training framework for iterative learning, and then a system collaborative simulation result is generated. And establishing a configuration model to optimize facility deployment parameters to obtain an optimal configuration scheme. And finally, dynamically adjusting parameters according to the efficiency evaluation framework to realize planning control of the green intelligent building. According to the method, multiple factors are integrated, optimization of building planning and design is achieved, and the sustainability and the intelligent level of the building are improved.

The embodiment of the invention discloses a power grid configuration operation cooperation method and device, electronic equipment and a storage medium. The method comprises the steps that an upper layer planning model with the purpose of minimizing the comprehensive planning cost of a power grid and with the installed capacity of a new energy unit and the installed capacity of an energy storage unit as optimization variables is constructed; a lower-layer operation simulation model with the aim of minimizing the comprehensive operation cost of the power grid and with the operation state of the thermal power generating unit, the operation state of the energy storage unit, the new energy abandoned power and the load shedding power as optimization variables is constructed; constructing a double-layer decision model based on the upper-layer planning model and the lower-layer operation simulation model, and enabling the output of the upper-layer planning model and the output of the lower-layer operation simulation model to be mutually influenced; and performing multi-round iterative optimization on the double-layer decision model based on a multi-time-sequence typical source load matching scene. The embodiment of the invention can improve the power supply reliability of the power grid on the premise of ensuring the safety of the power grid and the lowest comprehensive cost.

The invention provides a power distribution network comprehensive planning method and system in electric power engineering design. The method comprises the following steps: firstly, acquiring geographic space data and historical operation data in a planning area and cable vibration spectrum data monitored by an optical fiber sensing network; carrying out distributed storage and correlation analysis on the geographic space data and the cable vibration spectrum data through a mixed integer programming parallel acceleration algorithm, and generating a cable aging risk distribution diagram based on spatial topology constraints; performing multi-target collaborative optimization based on a second-order cone programming model, and generating a high-voltage distribution network line capacity increasing scheme and a cable replacement priority sequence; and finally, in combination with a partial discharge frequency domain characteristic change trend in the cable vibration spectrum data, correcting a line corridor extension parameter, and outputting a dynamic planning map including a cable life prediction node and a capacity increasing path. According to the technical scheme provided by the invention, precise planning and optimization of the high-voltage power distribution network are realized, and the accuracy and efficiency of cable life prediction and capacity increasing path planning are improved.

The invention discloses a rural ecological environment comprehensive planning system and method, and relates to the technical field of rural ecological environment planning, and the system comprises the following components: a data collection module, a data processing and analysis module, a dynamic planning model construction module, and a planning strategy generation and adjustment module. According to the method, historical data and real-time monitoring data are widely collected, an advanced climate trend prediction model and an advanced population dynamic prediction model are combined, a comprehensive space-time big data set can be formed, a scientific basis is provided for planning, and meanwhile, a self-defined data feature extraction algorithm and a space-time adaptive deep learning algorithm are applied, so that the planning efficiency is improved. The data value can be deeply mined, the change trend of the ecological environment and the association between different factors are found, and powerful support is provided for formulating a scientific and reasonable planning strategy.

The invention relates to the technical field of power grid comprehensive plan management, and particularly discloses a power grid enterprise comprehensive plan special project full-service monitoring control method and system, and the method comprises the steps: constructing a full-service monitoring analysis index system of a power grid enterprise comprehensive plan special project, determining a standard threshold value of each monitoring index in the full-service monitoring analysis index system; obtaining current basic data of the special project of the comprehensive plan of the power grid enterprise, and calculating a current actual value of each monitoring index in the full-service monitoring analysis index system according to the current basic data; and comparing the current actual value of each monitoring index with a standard threshold value, and calculating a comprehensive score of the comprehensive plan special project of the power grid enterprise according to a comparison result and the weight of each monitoring index, so as to monitor and control the full service of the comprehensive plan special project of the power grid enterprise. According to the invention, the digital and intelligent management level of the special project of the comprehensive plan of the power grid enterprise can be promoted.

The invention discloses an AC / DC power distribution network equipment configuration and SOP site selection double-layer planning method considering cluster division and a related device. The method comprises the following steps: constructing an upper-layer planning model taking minimization of comprehensive planning cost and optimization of cluster comprehensive performance as objective functions; an improved SRA algorithm is adopted to solve the upper-layer planning model, and collaborative optimization of equipment configuration and cluster division is achieved; according to equipment configuration and a cluster division scheme, constructing a lower-layer planning model taking maximized reduction of transmission loss as an objective function; solving the lower-layer planning model by adopting a second-order cone relaxation method, and outputting an SOP site selection scheme; and inputting the SOP site selection scheme into the upper-layer planning model, solving the upper-layer planning model by adopting an improved SRA algorithm, and outputting an updated equipment configuration and cluster division scheme, so that joint decision and overall optimization of equipment configuration, cluster division and SOP site selection are realized, and the cluster autonomous capability, operation stability and economical efficiency of the AC / DC power distribution network system are improved.

The invention discloses a deterministic planning extension method and system for optimizing an embedded flexible AC / DC power grid, and relates to the technical field of power systems. The method comprises the steps of evaluating the load bearing capacity and growth trend of power grid nodes; the sum of alternating current / direct current construction cost, power generation cost and load shedding cost is taken as an optimization target; establishing a power relationship by adopting a direct-current power flow model; constructing a constraint condition set covering alternating-current and direct-current power balance, equipment capacity, topological association and the like; and solving step by step to generate a comprehensive planning scheme. The system is correspondingly provided with an evaluation module, a target module, a modeling module and the like, and a cost calculation and model verification module is additionally arranged to improve the accuracy. According to the invention, alternating current and direct current collaborative optimization is realized, the problems of single target and incomplete constraint of traditional planning are solved, and the economical efficiency, reliability and feasibility of power grid planning are improved.

This invention belongs to the field of electrical engineering technology, specifically relating to a comprehensive planning method and system based on mobile hydrogen energy storage vehicles and energy storage power stations. The method first constructs a spatiotemporal interaction model—an electro-hydrogen energy model. Then, based on this model, a two-stage comprehensive capacity planning model is built. In the two-stage comprehensive capacity planning, the planning stage model is constructed with the objective of minimizing the sum of system operating costs and energy storage construction costs, while the operation stage model is constructed with the objective of minimizing system operating costs. Finally, the two-stage comprehensive capacity planning model is solved to obtain the optimal energy storage planning scheme, which includes the number of mobile hydrogen energy storage vehicles, the construction location and capacity of the energy storage power station. This invention, through the spatiotemporal interaction model—an electro-hydrogen energy model, enables more accurate comprehensive planning of mobile hydrogen energy storage vehicles and energy storage power stations, reducing the total energy storage construction cost while ensuring system operational reliability.

A method for comprehensive planning of the path and posture of an omnidirectional AGV, characterized in that it comprises the following steps: Step 1: constructing an indoor map model using a topological map method; Step 2: using a depth-first search algorithm to perform path planning under the body posture constraint conditions of each road section; Step 3: calculating the body posture adjustment site of the AGV car in the planned path under the body posture constraint conditions of the omnidirectional AGV; Step 4: using each body posture adjustment site as a segmentation point, dividing the entire path into several sections, and finding the intersection of the body posture sets of each basic section constituting each route; Step 5: sequentially controlling the omnidirectional AGV car to pass through each road section with a planned body posture, and adjusting the body posture at the corresponding node until the car arrives at the end. The present invention can avoid the situation in which the car cannot pass smoothly due to the body posture restriction during driving, and help the car adjust the body posture and arrive at the end smoothly.

The invention provides a meteorological-driven multi-system collaborative robust planning method and electronic equipment, and relates to the technical field of energy low-carbon transformation planning. The method comprises the following steps: constructing an ecological-electric power-industry collaborative energy low-carbon transformation planning framework; wherein the energy low-carbon transformation planning framework comprises a planning layer and an operation layer; the planning layer plans the new energy equipment construction capacity and position of the system, the gradual decommissioning plan of the thermal power generating unit and the ecological carbon sink area to obtain a comprehensive planning quantity; the operation layer establishes an ecological-electric power-industry economic development collaborative low-carbon planning robust model, divides a main problem and a sub-problem of the low-carbon robust planning model, and solves a dual sub-problem model based on a comprehensive planning amount to find a severe meteorological scene; and solving an optimal solution set of the system through iterative convergence of the main problem and the sub-problems, and obtaining a multi-system collaborative robust planning operation scheme according to the optimal solution set of the system. The method is suitable for low-carbon transformation requirements including industrial transformation.

The invention discloses a comprehensive plan management system for a water enterprise. The comprehensive plan management system for a sewage company comprises a plan management platform, a dynamic adjustment engine module, a business and financial linkage analysis module and a functional unit. The invention further discloses a comprehensive plan management method for the water business enterprises. According to the comprehensive plan management system and method for the water affair enterprise, the technical problems of low efficiency, data islanding, insufficient linkage and the like of an existing plan management system are solved, and the efficiency and accuracy of comprehensive plan management of the water affair enterprise are improved.

The invention discloses a system and method for urban planning ecological city boundary survey, and relates to the technical field of urban planning, the system comprises a comprehensive planning platform, and the comprehensive planning platform further comprises a data acquisition module, a data analysis module, a planning model module, a configuration optimization module and a result output module. According to the urban planning ecological city boundary surveying system and method, a large amount of complex data can be quickly and accurately processed, and the efficiency and quality of city boundary planning and compiling are improved; through intelligent optimal configuration, the planning scheme is more scientific and feasible; and a visual output result is convenient for decision makers and related personnel to understand and apply.

The invention discloses an efficient water-saving irrigation project planning method and device, and relates to the technical field of irrigation project planning, and the method comprises the steps: calculating a first project construction area according to the drainage amount of drainage basin surface water; calculating a second engineering construction area according to the basin terrain fall; determining the minimum value of the first engineering construction area and the second engineering construction area as an irrigation planning area; based on the irrigation planning area, determining the positions of a main pipe, branch pipes and branch pipes according to topographic conditions and water source positions; the main main pipe and the branch main pipes are arranged perpendicular to or approximately perpendicular to a terrain contour line; the branch pipes are arranged in parallel or approximately parallel to contour lines; by adjusting the inner diameters of the main pipe, the branch pipes and the branch pipes, the energy consumption of water flow in the pipeline is adjusted, so that the water flow pressure of the whole irrigation system is uniformly distributed. The water resource planning and utilization level of the arid inland river basin can be effectively improved, and a method and means are provided for comprehensive planning and reasonable configuration of water resources in the arid region.

The invention discloses an agricultural integrated energy park optimization control method considering environmental capacity constraints, which optimizes a multi-energy scheduling strategy and improves energy utilization efficiency. The method comprises the following steps: firstly, constructing a multi-energy system operation control and pollution emission model, quantifying the influence of pollution emission on the environment, introducing environment capacity constraint, and evaluating and dynamically adjusting an energy scheduling strategy in real time; and then, proposing an optimization control model based on a fuzzy membership degree, and processing a nonlinear relationship between agricultural production requirements and energy supply by adopting a fuzzy theory. Secondly, providing a comprehensive planning method based on environmental capacity evaluation, and solving a long-term energy configuration scheme by adopting dynamic planning; and finally, proposing an optimization control model based on data driving, predicting an energy demand and a pollution emission trend by adopting a deep learning algorithm, dynamically adjusting an operation strategy, and ensuring efficient operation of the system under the constraint of the environmental capacity. According to the invention, energy-environment collaborative management can be realized, the operation efficiency is improved, and sustainable development is promoted.

The application discloses a grid-connected green electricity direct connection project source-load-storage collaborative planning method and system, the planning boundary of the power supply, the load, the energy storage, the direct connection line and the public grid access point is determined through the method and system, the grid-connected and direct connection dual-channel energy supply model is established, the access capacity and the load bearing capacity are analyzed, the collaborative planning model taking the new energy capacity, the energy storage scale, the line capacity, the access capacity and the construction time sequence as variables is constructed, the staged expansion and the operation scene safety checking mechanism are introduced, and the comprehensive planning scheme and the engineering implementation list are output; the scheme can coordinate the relationship between the direct connection power supply and the public grid connection, improve the green electricity replacement rate, the power supply reliability and the planning implementability.

The invention provides a power distribution network planning and design method, system, equipment and medium under the energy internet, and relates to the technical field of power systems, and the method comprises the steps: obtaining the total capacity and local load capacity of a distributed power supply in a to-be-planned power distribution region under the energy internet, and the acceptable limit value of the distributed power supply of the power distribution network; substituting the total capacity and the local load capacity of the distributed power supply into a source load comparison algorithm to obtain a source load comparison result, and obtaining a source load coordination strategy according to the source load comparison result; generating a comprehensive planning scheme based on the source-load coordination strategy, the source-network coordination strategy, the load-network coordination strategy and the comprehensive optimization target; and carrying out collaborative optimization on the comprehensive planning scheme based on a multi-objective optimization model, and determining an intelligent power distribution network planning design scheme. According to the method, the intelligent power distribution network planning and design scheme of the power distribution area to be planned is generated through multi-index evaluation, and the power distribution network planning and design scheme which is coordinated and optimized based on the overall perspective of source network load storage and is higher in reliability is obtained.

The invention belongs to the technical field of mine stope treatment, and particularly relates to a uranium mine stope waste radiation integrated treatment method. The exposed residual ore body at the bottom of the exposed mining stope is covered with concrete, the gamma radiation dosage is reduced, and stope stabilization and radiation shielding are achieved. According to the method, the waste backfilling sequence is planned, the waste with the high radon exhalation rate is backfilled to the bottom according to the radon exhalation rate sequence, the waste with the lower radon exhalation rate is backfilled from top to bottom, the waste serves as a covering material, the covering amount of clean clay is reduced, soil source ground damage is reduced, the gamma radiation dose rate is reduced, and meanwhile radon exhalation is reduced. According to the method, revealed ruins and other site treatment are considered as a whole, waste backfilling of other sites is subjected to unified treatment and comprehensive planning, it is guaranteed that all links are linked, and it is guaranteed that the landscape pattern of final ecological restoration is coordinated with the surrounding environment.

The invention discloses a multi-objective planning model system for a distribution network frame. The multi-objective planning model system comprises an objective function module, a constraint condition module, a multi-objective optimization algorithm module, a decision support module, a data processing and analysis module and a user interface module. The objective function module is used for defining a plurality of objective functions in a planning process, and the plurality of objective functions comprise investment cost, operation cost, reliability, environmental friendliness and power supply quality; the constraint condition module is used for setting constraint conditions in the planning process; according to the method, multiple planning targets can be comprehensively considered, a more comprehensive planning result is provided, a multi-target optimization algorithm is adopted, a group of non-inferior solutions can be obtained, more choices are provided for decision makers, a decision support tool is provided, and planners are helped to select an optimal planning scheme. And through the data processing and analysis module, the data processing capability of the planning process and the visualization degree of the result are improved.

The present invention relates to the technical field of green intelligent building planning and design, and discloses a multi-factor fusion planning and design method for green intelligent buildings. The method first obtains geographic information data and ecological environment parameters of the building site, collects and integrates multi-dimensional environmental data of the surrounding area, constructs a three-dimensional space topology model, and generates an initial space planning model. Then, climate simulation and resource circulation conditions are loaded to form a comprehensive planning analysis model, and dynamic collaborative evaluation indicators are output. By constructing a multi-objective optimization pre-training framework for iterative learning, a multi-factor coordination model and key coordination parameters are obtained, and then a system collaborative simulation result is generated. A configuration model is then established to optimize facility deployment parameters and obtain the optimal configuration solution. Finally, parameters are dynamically adjusted according to the performance evaluation framework to realize the planning and control of green intelligent buildings. The method integrates multiple factors, realizes the optimization of building planning and design, and improves the sustainability and intelligence level of the building.

The invention relates to the technical field of landscape area planning design and data analysis, and discloses an intelligent landscape area planning design method based on data analysis. The method comprises the steps of collecting multi-source data of a landscape area, analyzing and extracting elements such as terrain elevation, vegetation coverage, water body distribution and a building outline, converting the elements into a standard format and establishing association, and generating a landscape basic data set; and querying a planning rule base by using the data set, matching landscape types and planning constraint rule entries, calculating a rule application complexity value, judging a data coincidence state, and performing single planning compliance evaluation. A plurality of landscape basic data sets are integrated, shared entities among different planning projects are found, the association strength level among the projects is calculated, and a multi-project association graph is constructed; and calculating a risk value based on the multi-project association graph and single-project planning compliance assessment, and generating a comprehensive planning risk prompt. Through data analysis, the scientificity and compliance of landscape area planning and design and the collaboration among multiple projects are improved.

The embodiment of the utility model provides an underground pipeline comprehensive planning multi-dimensional data acquisition device. The underground pipeline comprehensive planning multi-dimensional data acquisition device comprises two first side plates, two second side plates, a first adjusting mechanism, a second adjusting mechanism, a geological radar module, an electromagnetic induction module and an ultrasonic detection module. The second adjusting mechanism is arranged on the two first side plates, and the first adjusting mechanism is arranged on the second adjusting mechanism. By arranging the first adjusting mechanism and the second adjusting mechanism, when a user moves the acquisition device to the position of a pipeline, the acquisition device does not need to be frequently moved to meet the measurement environment of the geological radar module, the electromagnetic induction module and the ultrasonic detection module, and only the first adjusting mechanism and the second adjusting mechanism need to be controlled; the workload of a user in measuring the positions of a plurality of pipelines is reduced, and the working efficiency is improved.

This invention relates to the field of intelligent manufacturing, specifically to an automatic planning method, system, device, and storage medium for aircraft aperture projection positions. The method includes the following steps: determining the placement area of ​​the projector; setting optimization target parameters; initializing optimization units; evaluating the aperture coverage, aperture quality, precision, projection utilization, and comprehensive planning results for each optimization unit; determining whether the optimization target is met; if not, optimizing each unit based on the comprehensive evaluation score using an optimization strategy, and resubmitting the optimized results, iterating until the algorithm's stopping condition is met. This invention provides an automatic projection position planning method by evaluating indicators such as aperture coverage, global aperture projection quality, image precision, and projector utilization, combined with an optimization algorithm, ensuring full aperture coverage, high-quality projected images, and a minimum number of projectors after planning.