581 results about "Residential area" patented technology

The invention discloses a remote wireless heat supply valve control system based on Internet of Things, which relates to heat supply system application and comprises an intelligent communication management module, a real-time environment sensing module, a self-adaptive frequency distribution and spectrum management module, an equipment control and execution module and a system monitoring and maintenance module. According to the remote wireless heat supply valve control system based on the Internet of Things, the problem that control instruction transmission of a heat supply system is unstable due to wireless interference in a complex environment is effectively solved through the self-adaptive multi-band dynamic switching and intelligent interference recognition technology; the system not only improves the reliability and stability of heat supply control data transmission, but also optimizes heat energy distribution and resource utilization, reduces the operation cost of the system, and obviously enhances the competitiveness and adaptability of the system in the fields of central heating, commercial mansions and large residential areas.

The invention relates to a residential area charging pile load prediction method based on deep learning and load peak correction, and the method comprises the following steps: A), carrying out the preprocessing of residential area charging data, including abnormal value identification, missing value completion, standardization and the like; b) adopting MIC (Microphone) to screen characteristics with relatively high load correlation, and taking the characteristics as input of a load peak value and load trend prediction model; c) constructing an LSTM load peak prediction model; d) carrying out CEEMDAN preliminary decomposition on the load trend, carrying out aggregation reconstruction on each sequence by using K-Means, and then carrying out secondary decomposition on high frequency by using VMD; e) a sequence obtained through secondary reconstruction is transmitted into an Informer prediction model; f) replacing a load peak value to complete curve shape correction; and G) calculating an error index, and evaluating the performance of the model. The method has the advantages that charging behaviors, historical loads, external characteristics and the like are selected as input according to the charging load characteristics of the residential area, rules in load data are fully mined through secondary decomposition and reconstruction, the load peak value is corrected, the prediction precision is improved, and therefore the transformer capacity of the power distribution network is optimized.

The invention discloses a big data energy management method for intelligent monitoring of a community, and relates to the technical field of energy management, and the method is characterized in that through the hierarchical processing of community energy consumption data, the comprehensive analysis of a time dimension and a periodic rule is combined, and the energy use characteristics can be deeply mined. According to the processing mode, data of residential areas, public areas and commercial areas are layered, and detailed statistics is carried out according to categories of electric power, water resources, natural gas and the like, so that extraction of energy consumption characteristics is more targeted and systematic. Through time interval segmentation and clustering analysis, the behavior pattern of energy consumption is identified, and abnormal fluctuation characteristics are found in combination with entropy calculation, so that an abnormal source lower than a threshold value can be accurately positioned, and the efficiency and accuracy of troubleshooting are remarkably improved. Meanwhile, based on the dynamic prediction of the future energy consumption trend, in combination with the correlation analysis of the fluctuation region and the risk equipment, the potential problems in the energy consumption can be effectively pre-judged.

The invention discloses a multi-source data fusion wind power plant micro-siting dynamic evaluation method, relates to the technical field of wind power plant siting, and solves the problem that a mainstream method still depends on single anemometer tower data or static GIS analysis during wind power plant siting in the prior art. The method comprises the following steps: firstly, acquiring wind measurement data of multiple sources, unifying the wind measurement data of different sampling frequencies into a set time window, and realizing spatial scale alignment through an interpolation method; then obtaining a wind energy score according to the annual average wind speed and the main wind direction frequency, obtaining a suitability score according to the distance to the residential area or the main road, obtaining an environmental impact factor according to the noise and the ecological protection area, and constructing a target function based on the wind energy score, the suitability score and the environmental impact factor; and finally, combining a genetic algorithm and a real-time optimization model of a wake flow interference model, and dynamically adjusting the evaluation tendency according to the evaluation score of the fan layout inversion site, so that the evaluation result is more comprehensive, scientific and reasonable.

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 community new energy control, and discloses an orderly and rapid charging new energy control method, which comprises the following steps: collecting photovoltaic output data, power grid voltage / current data, user charging behavior data and battery state parameters in real time; generating a dynamic charging strategy based on the power grid load data, the time-of-use electricity price information, the photovoltaic output fluctuation range and the battery health state evaluation result; generating a corresponding local optimization strategy based on the operation state data of each charging pile; an economic index and a technical index are calculated, and when any index exceeds a preset threshold value, a strategy adjustment instruction is triggered, and a charging mode switching threshold value is updated; an equipment health index is generated by combining inverter temperature, coil coupling efficiency and insulation impedance parameters with historical fault data, and maintenance early warning is triggered when the health index is lower than a safety threshold value. According to the invention, the electricity cost of the user can be reduced on the basis of improving the multi-energy collaborative optimization capability of the charging facility in the residential area.

The invention discloses an ad hoc network wireless intercom system and method for old cell reconstruction, the system is composed of an outdoor wireless digital host, a wireless repeater and a wireless indoor extension, an ad hoc multi-hop wireless local area network is constructed based on an ESP-WIFI-MESH protocol, redundant communication is realized by adopting a mesh topology structure, and the wireless intercom system and the wireless repeater are used for wireless intercom. The problems of high wiring cost and poor wireless signal coverage in the prior art are solved. The talkback method comprises the following steps: marking an alarm instruction as the highest level through a priority transmission mechanism, and preempting a channel to ensure zero delay of an emergency signal; voice and video data are scheduled in a hierarchical manner, and real-time performance and bandwidth are balanced. The wireless repeaters dynamically allocate IP addresses, support plug and play of extension sets, and realize cross-building communication and remote management in combination with a local area network of a community.

The invention discloses an ecological environment big data processing method based on mining area pollutant migration behavior modeling, and relates to the technical field of big data processing. Comprising the steps that protection points in a target range and geodetic coordinate values of a mining area are obtained, the protection points comprise a mass residential area, an ecological protection area and a water source protection area, and the geodetic coordinate values are used for representing latitude and longitude coordinates and the altitude; and according to the first group of geodetic coordinate values and the geodetic coordinate values of the mining area, the maximum diffusion range interval of the mining area pollutants is determined, and the first group of geodetic coordinate values specifically refer to the geodetic coordinate values taken by any protection point type. According to the method, the three-dimensional geodetic coordinates of the protection point and the mining area are obtained, the pollutant diffusion range is scientifically defined, it is ensured that the space coverage of pollution monitoring is comprehensive and effective, potential threats of mining area pollution to surrounding people residential areas, ecological protection areas and water source protection areas can be accurately recognized, and the risk of mining area pollution to the surrounding people residential areas, ecological protection areas and water source protection areas is reduced. And the accuracy and pertinence of environmental risk assessment are improved.

The invention provides a global adaptive power supply adjustment method and system under the condition of local load increase, and relates to the technical field of power system dispatching. The method comprises the following steps: acquiring regional power grid topology, equipment parameters and real-time operation data; historical power consumption data of classified users in recent three years are collected and preprocessed; generating a reference load curve based on real-time data and a historical rule, calculating a deviation ratio, predicting a load in future 2 hours, and outputting a risk level; the regional energy storage equipment is called to dynamically adjust the discharge power when the risk is medium or low, and the adjacent regional resources are evaluated and cross-regional line switching and power supply support are executed when the risk is high or the energy storage is insufficient. Through layered adjustment and a dynamic response mechanism, rapid identification and accurate control of sudden load increase are realized, power supply stability and resource utilization efficiency are improved, and the method is suitable for local load fluctuation response of scenes such as residential areas and industrial parks.

The invention discloses a multi-agent-based disaster prevention and risk avoiding greenbelt system layout optimization method and system, and relates to the technical field of urban planning. The method comprises the steps that original geographic data in a to-be-optimized area are received, the original geographic data are preprocessed to form effective geographic data, and the original geographic data comprise original residential area data, original road network data and original disaster prevention and risk avoiding greenbelt data; according to the invention, a multi-agent evacuation simulation model is introduced into the planning design of the disaster prevention and risk avoidance greenbelt, and multiple targets such as road congestion, greenbelt overload and the like are optimized during simulation, so that the real-time escape condition can be accurately simulated, and the real-time disaster risk of the road, the congestion risk of escape crowds and the capacity overload risk of the disaster prevention and risk avoidance greenbelt during disaster can be avoided; and an optimal escape scheme is formulated, the evacuation path and strategy can be dynamically adjusted according to different emergency requirements, and the optimal scheme under the multi-target condition is formulated.

A plant (01) for manufacturing electric or hybrid vehicles, the plant (01) comprising, on one site, at least one assembly space (10) for the vehicles, in which no operation of transforming steel is carried out, thereby largely eliminating toxic emissions, the production of chemical waste, noise pollution, vibrations, dust and water consumption, with the result that the plant can be installed in the vicinity of or in residential areas.

The invention provides a new energy automobile charging station based on a photovoltaic charging pile, and relates to the technical field of new energy automobile charging stations, and the new energy automobile charging station comprises a photovoltaic power generation module which is used for converting solar energy into electric energy; the energy storage module is used for storing and releasing electric energy; the charging pile module is used for providing charging service for the new energy automobile; and the controller module is used for establishing a multi-objective optimization operation control model of the new energy consumption-oriented residential area optical storage and charging integrated cooperative control strategy, and realizing intelligent cooperative control of the optical storage and charging integrated system by solving the multi-objective optimization operation control model. By integrating photovoltaic, energy storage, charging, intelligent control and other technologies, intelligent cooperative control of the photovoltaic, energy storage and charging integrated system is achieved, power distribution network transformation is optimized, the charging load of the electric vehicle is accurately predicted, the planning design of the charging station is optimized, and green and low-carbon development is promoted.

The invention relates to the field of urban public transport deployment, and provides a public transport network matching method and system based on an urban space structure, which divides urban areas by constructing a traffic model, identifies areas with dense demands on the basis of power consumption density, and provides a public transport network matching method and system based on the urban space structure. And the coverage condition of the existing public transport network on the areas with dense demands is evaluated, and uncovered areas are identified. For the uncovered areas, the information of stores and companies in the map data is used to subdivide the uncovered areas into a plurality of types of areas. A bus rapid transit system is additionally arranged in a commercial district to improve transportation efficiency, a peak period special line is additionally arranged in an office building area to meet commuting requirements, a customized bus special line is provided in an industrial district to meet requirements of specific periods and routes, and a conventional bus route is additionally arranged in a residential district to improve daily travel. Accurate matching between the urban space structure and the public transport demand is realized, and the coverage rate and efficiency of public transport service are improved.

The invention discloses an electric power terminal equipment safety management and control system based on multi-source data fusion, and relates to the technical field of electric power equipment management and control, and the system comprises an electric meter data collection module which is used for collecting the flow characteristic sequence, the electric meter load sequence, the electric power data sequence and the communication characteristic sequence of a plurality of electric meters in a residential area in a preset time zone; the abnormal risk prediction module is used for carrying out network abnormal risk prediction and outputting a plurality of network abnormal risk coefficients; the abnormal ammeter distribution construction module is used for determining a plurality of abnormal ammeters and constructing abnormal ammeter distribution; and the ammeter operation and maintenance management and control module is used for setting an ammeter operation and maintenance scheme according to the abnormal concentration ratio to perform ammeter operation and maintenance management and control. According to the method and the device, the technical problems of poor management and control efficiency, accuracy and safety of the power terminal equipment caused by difficulty in accurately and comprehensively monitoring the state of the power equipment and incapability of predicting the network abnormal risk in advance in the prior art are solved, and the technical effect of improving the management and control efficiency, accuracy and safety of the equipment is achieved.

The invention relates to a BIM-based residential area and coastal tidal area shallow-buried tunnel comprehensive construction method. The method comprises the following steps: step 1, carrying out deep fusion application of BIM, VR and GIS technologies; 2, measuring and positioning; step 3, advanced geological forecast; fourthly, tunnel construction is conducted; the tunnel construction comprises the steps of construction preparation, tunnel opening waterproof and drainage system construction, tunnel opening section construction, tunnel body excavation and primary support, monitoring and measurement, secondary lining, cable trough and ditch construction, and tunnel inner road surface and traffic safety electromechanical engineering construction. The influence on surrounding buildings and structures in the construction process is reduced.

The invention discloses a management system capable of planning fire-fighting information of urban residential areas as a whole and an early warning method thereof, and the method specifically comprises the steps: carrying out the multi-level division of a residential area plane and space, setting the residential area plane and space into a plurality of monitoring areas, deploying one or more pieces of fire-fighting monitoring equipment with a unique identity number in each monitoring area, the fire-fighting monitoring equipment is associated to the household information integration platform or the regional information integration platform based on the monitoring region where the fire-fighting monitoring equipment is located, and the information integration platforms at all levels are sequentially gathered and associated to the fire-fighting intelligent decision-making center platform to form a system for daily and disaster decision-making management. The system integrates four sub-systems of detection, information transmission, daily management and disaster situation judgment and early warning, can cover each space of a living area, realizes real-time monitoring of the fire-fighting condition of the living area, rapid data transmission, effective equipment management and accurate fire positioning and early warning, and improves the safety of the living area through cooperative work inside and outside the system. The fire-fighting information management level can be effectively improved, fire disasters can be inhibited, or fire coping strategies can be optimized.

The invention relates to finger support that can be assembled to / disassembled from the firearm (1) in order to facilitate the control of the firearm (1) by providing the necessary power during effective aiming in the firearms (1) used in the residential area and shooting competitions and thus to ensure effective aiming.

The invention discloses an urban thermal exposure risk optimization method and system based on carbon emission dynamic regulation and control, and belongs to the technical field of urban climate adaptation and low-carbon planning, and the method comprises the steps: obtaining real-time carbon emission data and a weather short-time forecast result; and inputting the obtained real-time carbon emission data and the weather short-time forecast result into the trained thermal exposure risk transfer model, outputting a future thermal exposure risk level, and combining an early warning threshold value to realize the optimization of the urban thermal exposure risk by adopting differential regulation and control strategy matching. The method solves the problems that a dynamic correlation mechanism of carbon emission and thermal exposure is not clear, a regulation strategy lacks multi-scene adaptability and real-time performance and the like, supports rapid early warning, accurate regulation and effect verification of thermal exposure risks, provides scientific support for urban thermal environment management, low-carbon development planning and resident health guarantee, and is suitable for popularization and application. The method is suitable for climate toughness optimization of multiple scenes such as industrial parks and high-density residential areas.

The invention relates to the technical field of environment monitoring, in particular to an environment monitoring method and an environment monitoring system.The environment monitoring method comprises the steps that fixed monitoring equipment is adopted for fixed-point collection, mobile monitoring equipment is adopted for dynamic supplementation to obtain environment data of atmosphere, water quality and soil, and first data and second data are obtained after processing; obtaining a seasonal variation coefficient of the detection environment according to the historical environment data in the same period; adjusting an early warning threshold according to the seasonal variation system; and calculating to obtain a comprehensive quality score of the detection environment and generating an early warning signal. The environment monitoring system comprises a sensing module, an edge processing module, a cloud service module and an early warning module. According to the invention, a complete environment monitoring scheme with comprehensive data coverage and high processing efficiency is formed, reliable environment monitoring technical support can be provided for multiple scenes such as urban residential areas, chemical industrial parks, rural ecological areas and the like, and meanwhile, powerful guarantee is provided for ecological environment fine management and pollution control decision making.

The invention discloses an automobile charging facility optimization layout method fusing multi-source data, and relates to the technical field of new energy automobile infrastructure planning, a three-dimensional decision model including the type, position and capacity of a charging facility is constructed, an initial scheme is generated based on a scene adaptation evaluation function, and a three-dimensional decision model is established; the method has the advantages that multi-source data such as geographic space, traffic demands, power grid parameters and policy constraints are fused and preprocessed, six types of core scenes such as residential areas and office areas are accurately divided, multi-source data such as the power grid parameters and the policy constraints are subjected to multi-source data fusion and preprocessing, and multi-source data such as the power grid parameters and the power grid parameters and the policy constraints are subjected to multi-source data fusion and pre-processing; according to the method, the joint decision of the type, the position and the capacity of the charging facilities is realized based on the scene adaptation evaluation function, and the user flow, energy flow and cost flow triple constraint verification is applied at the same time, so that the defects that the layout of the charging facilities is split and collaborative optimization of multiple types of facilities is not realized in the prior art are overcome, and the mismatching of the charging resources in the same area is avoided.

The invention relates to the technical field of optical remote sensing image application, and provides a method for extracting a rural residential area and judging the closeness of a building by using tile data, which is used for extracting the rural residential area and judging the closeness of the building by combining map tile data and a deep learning technology, and judging the closeness of the building through tile resolution characteristics and actual characteristics of the rural residential area. 14-level tile images are selected for rural residential area distribution extraction, and after the 14-level tile images are obtained, a model obtained through SegFormer-based training is used for extracting rural residential area distribution; the method comprises the following steps: selecting 18-level tile images to extract rural building distribution, extracting rural buildings by using a model obtained by training based on DeepLabV3 +, and selecting medium-resolution hierarchical images to interpret, thereby improving the precision and efficiency of rural residential area extraction and building density determination.

The invention provides a remote sensing building detection method based on YOLOv8, and the method comprises the steps: S1, collecting a large amount of residential area remote sensing building image data, and constructing a target remote sensing building data set based on the collected image; s2, training the building detection model to obtain a remote sensing building detection model; and S3, applying the trained remote sensing building detection model to remote sensing images of other areas to realize efficient identification and accurate positioning of buildings in the areas. The invention provides a dynamic multi-branch feature extraction module, multi-granularity feature extraction is carried out through a cross-stage channel segmentation-aggregation strategy, a dynamic convolution-routing mechanism is integrated, complex background interference such as vegetation and a rural road network is effectively inhibited, and learning expression of discriminative detail features is enhanced. Through the method, the detail features of the building in the remote sensing image can be extracted more accurately, and powerful technical support is provided for related application fields such as urban planning and building monitoring.

A residential area electric vehicle user charging probability prediction and load prediction method comprises the steps of 1, collecting data to obtain a feature data set of a corresponding charging load; 2, constructing an electric vehicle user charging probability model, and obtaining a user charging probability; 3, inputting the user charging probability and the historical load data as feature vectors into a CNN-GRU-Attention model; step 4, improving a WOA algorithm; step 5, carrying out hyper-parameter tuning on the CNN-GRU-Attention model through an improved WOA algorithm; and step 6, constructing a residential area electric vehicle charging load prediction model, and obtaining an electric vehicle charging load prediction result. According to the improved prediction model, the accuracy of electric vehicle load prediction in the resident area can be improved, a reference is provided for orderly charging and discharging scheduling of electric vehicles, the load of a power grid is effectively balanced, and the stability of the power grid is maintained.

The invention relates to the technical field of wind power plant optimization, and discloses a wind power plant noise control and power optimization method and device, and the method comprises the steps: obtaining the multi-source noise data of a wind power plant, constructing a multi-source noise feature database, and constructing a noise propagation theoretical model; determining a plurality of monitoring points in the wind power plant based on the noise propagation theoretical model, and collecting actual multi-source noise data and fan operation data of the plurality of monitoring points in real time; on the basis of actual multi-source noise data and fan operation data, a multi-objective optimization function fusing constraint conditions is constructed by taking minimization of dispatching instruction difference, fan operation load and noise superscale as objectives; and solving the multi-objective optimization function to generate an optimal power distribution scheme of the fan under the noise constraint. According to the invention, intelligent monitoring and intelligent control can be carried out on the noise of the wind power plant near the residential area, so that the noise influence of the wind power plant on the nearby residential area is reduced, and the contradiction between the residential area and the wind power plant is solved.

The present invention provides a molten salt storage tank and a molten salt electro-thermal long-duration energy storage device. This device can directly replace existing coal-fired and gas-fired industrial steam boilers, thereby promoting centralized gas supply and heating through molten salt heat storage in industrial parks; it can also directly provide centralized heating for residential areas. At the same time, when the molten salt electro-thermal long-duration energy storage device of the present invention is combined with a supercritical carbon dioxide power generation unit, a new type of efficient "electricity-thermal-electricity" technical mode is generated, which can replace existing pumped-storage power stations and chemical energy storage stations and become a large-capacity long-duration energy storage technology. The present invention has the advantages of compact structure, simple system, low heat storage cost, high heat release efficiency, small system heat loss, high electro-thermal and thermoelectric conversion efficiencies, can achieve modular, standardized, batch, and factory production, has safety, economy, and flexibility, and also has the characteristics of strong regulation ability, short construction period, low site selection requirements, and flexible construction scale.

To foster communication among residents and to ensure privacy in a residential area.SOLUTION: An exterior structure 3 at a residential area 10 comprises a building 21 built on the residential area 10, a deck terrace section 31 provided in the residential area 10 and adjacent to the building 21, a work area 27 for residents to work in the residential area 10, and a seating section 28 provided at a boundary between the residential area 10 and a road 2 and allowing seating from at least the road 2 side. The distance from the deck terrace section 31 to the seating section 28 is longer than the distance from the work area 27 to the seating section 28.SELECTED DRAWING: Figure 2

The invention belongs to the technical field of residential area ecological evaluation, and particularly relates to a GIS-based hydropower engineering residential area ecological suitability evaluation method. The method comprises the following steps: aiming at the terrain, climate characteristics and social attributes of the residential area of the hydropower project, extracting evaluation factors of ecological suitability of the residential area from multiple aspects of the terrain, the environment, the society, the traffic and the space; adopting an analytic hierarchy process and a Delphi method to analyze the obtained evaluation factors, and constructing a residential area ecological suitability index system; and superposing the spatial data of each evaluation factor by using ArcGIS to obtain a residential area ecological suitability evaluation model, and analyzing the overall ecological suitability of the residential area. According to the method, by obtaining the residential area ecological suitability evaluation model, the relation between hydropower engineering construction and rural residential area development and ecological environment protection can be better evaluated, sustainable development of the regional ecological environment is achieved, and the peaceful industry of reservoir area immigrants is guaranteed.

The invention discloses an urban residential quarter housing occupancy rate prediction method and device and a medium, and relates to the field of housing occupancy rate prediction.The method comprises the steps that an urban residential quarter housing occupancy rate estimation model is built based on urban residential quarter basic information and mobile phone signaling data, and correction is conducted through the actually-collected housing occupancy rate; according to the spatial range boundary, the terrain, the PM2.5 concentration, the POI, the urban road network, the NPP-VIIRS and the urban community house price of the to-be-predicted urban residential community in the set time period, determining characteristic index data, and aligning the spatio-temporal data to obtain processed characteristic index data; and through a mixed multi-head attention mechanism coupled with an efficient routing strategy and a long short-term memory network, constructing an urban residential quarter housing occupancy rate prediction model, inputting the processed characteristic index data, and determining a predicted value of the housing occupancy rate of the urban residential quarter to be predicted. According to the invention, accurate prediction of the housing occupancy rate of the urban residential quarter is realized.

The present invention discloses a method for verifying the household-transformer relationship in low-voltage power distribution areas based on data driving, comprising the following steps: Step 1, calculate the line loss rate of all power distribution areas in the same residential area according to the power sales-side settlement and power supply assessment data of the power distribution area; Step 2, determine whether the reason for the unqualified line loss rate in this residential area is an incorrect household-transformer relationship. If the unqualified line loss rate is caused by an incorrect household-transformer relationship, then execute Step 3; otherwise, reselect the residential area and execute Step 1; Step 3, establish a data-driven household-transformer relationship verification model; Step 4, solve this model and give an adjustment plan for the household-transformer relationship in the power distribution area; Step 5, adjust according to the adjustment plan in Step 4 in the power consumption acquisition system. Based on the historical data of users in the power distribution area and the power supply data of the distribution transformers in the power distribution area, the present invention uses an optimization algorithm to propose a method for verifying the household-transformer relationship based on data driving, which can effectively avoid the cumbersome work of screening households one by one in the past, so as to make the line loss rate reach a qualified level.

The invention provides an AC charging pile power distribution method and system in the technical field of charging piles. The method comprises the following steps: S1, creating a load prediction model; s2, acquiring a large amount of historical power consumption data to construct a data set, and training the load prediction model through the data set; s3, acquiring real-time power consumption data, preprocessing the real-time power consumption data, and inputting the preprocessed real-time power consumption data into the deployed load prediction model to obtain a power consumption load prediction report; s4, acquiring historical charging data of user accounts charged by all AC charging piles in the community, extracting charging behaviors of the user accounts based on the historical charging data, and setting charging priorities of the user accounts based on the charging behaviors; and S5, acquiring a charging rule of the electricity price, and dynamically distributing the power of the AC charging pile based on the electrical load prediction report, the charging priority and the charging rule. The method has the advantages that the reasonability of power distribution of the AC charging pile is greatly improved, and then the user experience of charging is greatly improved.