57 results about "City area" patented technology

The invention discloses an autonomous decision-making system of a multi-level intelligent agent in an urban area and an operation method thereof. Each end-side decision-making unit broadcasts an equipment state variable to a side-side decision-making unit; the side decision-making unit determines a global reference state and generates a control instruction of each end decision-making unit; after the equipment executes the control instruction, each end-side decision-making unit updates an equipment state variable according to the real-time operation data of the equipment, and when an abnormal event is judged to occur, a side decision-making unit predicts a decision-making variable of each piece of equipment based on a collaborative optimization model of an equipment target and an urban area target; the cloud regulation and control platform predicts a global consistency variable based on the collaborative optimization model of all the side decision units; predicting a regulation and control instruction of each side decision-making unit according to a global dynamic optimization target under a system operation constraint; and the side decision-making unit decomposes the regulation and control instruction into the control instruction of each end decision-making unit, so that the problems that the global cooperative capability of the urban regional integrated energy system is weak and cooperative scheduling is not timely under extreme events are solved.

The invention discloses an old city boundary intelligent extraction and texture calculation system based on vector topology analysis and semantic segmentation. According to the method, the topological semantic association module provides a multi-dimensional association basis for boundary extraction by integrating spatial structure information of vector topology and functional attribute tags of semantic segmentation. In the coarse extraction stage, the objective space law of the topological features and the subjective function orientation of the semantic tags are mutually verified, so that the misjudgment of'similar forms but inconsistent functions' possibly caused by single dependence on the topological structure or the deviation of'tag coverage but space breakage 'possibly caused by only dependence on the semantic tags is avoided; in the fine correction stage, the module further dynamically calibrates the boundary range through historical-current situation space-time correlation and multi-source data conflict detection, so that the continuity of historical stable elements is reserved, the updating requirement of current situation semantic tags is included, the final boundary better fits the essential characteristics of'active inheritance 'of the old city, and the accuracy of the final boundary is improved. And human experience interference and errors are obviously reduced.

The invention discloses an urban scale rainfall absorption and vegetation configuration collaborative optimization evaluation method, which belongs to the field of urban rainfall flood management optimization, and comprises the steps of performing integration and rainfall event identification on basic data of an urban region; physical mechanism inference is carried out by constructing multiple physical gating such as energy consistency, wet surface dissipation and geometric radiation sensitivity, and underlying surface hydrological response characteristics are obtained; constructing and solving a robust optimization model in combination with the underlying surface hydrological response characteristics and a preset planning target, and determining an optimal vegetation configuration scheme; and carrying out back substitution on the optimal vegetation configuration scheme to carry out closed-loop check and effect evaluation. According to the method, the hydrological response characteristics of the urban underlying surface can be accurately quantified, the vegetation configuration scheme with the definite achievement probability and the controllable risk is formulated under the uncertain condition, and the scientificity and the reliability of urban water resource toughness planning are improved.

The invention belongs to the crossing field of water conservancy and computer vision, and provides an urban flood depth real-time monitoring method based on intelligent three-dimensional vision. According to the method, firstly, an unmanned aerial vehicle is adopted for aerial photography to collect multi-view images of scenery in an urban area, and refined three-dimensional reconstruction is carried out on the multi-view images; then, shooting a two-dimensional image of the scenery by using a camera, matching the two-dimensional image with the image shot by the unmanned aerial vehicle, and screening out a plurality of most similar images; dense feature comparison is carried out on the two-dimensional image and the three-dimensional information, and the pose of the camera is calculated according to the corresponding relation of feature points; and finally, through SAM2 segmentation and autoregressive mechanism optimization, extracting a water surface area with a stable time sequence, and in combination with a known camera pose, back-projecting a water surface edge to a three-dimensional space, obtaining the water depth of accumulated water around the scene, and realizing real-time monitoring of urban flood water depth data. The method provides important technical support for fine real-time early warning of urban flood, and has practical engineering application value.

The invention discloses an urban garbage treatment station site selection method and device, electronic equipment and a storage medium, and relates to the technical field of site selection. The method comprises the following steps: dividing a target city area into a plurality of grid areas; acquiring signaling data of each grid region, and estimating population distribution characteristic data; acquiring historical garbage clearance data and commercial interest point data, and processing to obtain garbage prediction data; obtaining road data, establishing a topological road network model, and performing traffic characteristic evaluation on the topological road network model to obtain traffic characteristic data; acquiring ecological data, and acquiring service coverage data of each garbage disposal station; based on the obtained data, obtaining a multi-dimensional evaluation result, and determining a plurality of preliminary site selection of the garbage disposal station; and determining a preset number of addresses from the plurality of preliminary addresses as a final address of the garbage disposal station of the target city. By implementing the technical scheme provided by the invention, the accuracy of site selection of the urban garbage treatment station can be improved.

The invention discloses a city CTC-based running plan morning and evening point real-time adjustment method and device. The device comprises a running chart terminal arranged in a city railway dispatching command system and a city running chart background service. The running chart terminal is used for displaying and operating the running plan and sending running plan operation update to the city running chart background service in real time; and when receiving the train report point reported by the station, the city area working diagram background service performs morning and evening point adjustment processing on the operation plan after the train report point and / or the turn-back plan associated with the operation plan according to the morning and evening point relationship between the train report point and the corresponding operation plan, and updates the operation plan and / or the associated turn-back plan. According to the invention, on the basis of a dispatching command system framework, interconnection and public transportation operation requirements of urban railways are met, and the efficiency of dispatching operation plan morning and evening is improved.

The invention discloses a road safety monitoring method based on the Internet of Things, and relates to the technical field of road safety. A corresponding urban area traffic data center is arranged according to the urban area, and is in wireless communication connection with a traffic navigation system; constructing an urban regional vital communication line map model based on a traffic navigation system, and obtaining road information data; setting a camera data network, obtaining road video image data, sending the road video image data to an urban area traffic data center for storage, and generating an intersection road data set; a data processing model is constructed in an urban regional traffic data center, a road vehicle passing number set corresponding to the intersection road data set is obtained, and a congestion data value range is obtained; a congestion state level is obtained, and an urban regional traffic network system is constructed; and finally, acquiring scheduling data based on an urban area traffic network system, and managing and scheduling vital communication lines corresponding to the urban area according to the scheduling data. According to the invention, real-time monitoring and scheduling of urban roads are realized.

The invention relates to the technical field of spatial and temporal distribution reconstruction and early warning of VOCs, in particular to an urban area VOCs spatial and temporal distribution reconstruction and early warning method, which comprises the following steps: S1, collecting and preprocessing an urban area VOCs original data set; s2, according to the pollution type of the VOCs in the urban area; s3, constructing a regional VOCs reconstruction and prediction model based on the hybrid CNN-LSTM; s4, setting initial parameters of the model, and training the constructed model to obtain optimal model parameters; s5, performing precision verification on 10 DeepAir models generated after training by using the overall verification set in the step 2; s6, deploying the trained regional VOCs reconstruction and prediction model into the urban region; s7, using the regional VOCs reconstruction and prediction model to generate a complete VOCs concentration distribution reconstruction map in the region; according to the method, accurate reconstruction and prediction of the regional VOCs distribution diagram are realized, and urban regional VOCs spatial and temporal distribution monitoring and early warning required by current practical application can be met.

The invention discloses a path planning method based on a city engine and an unreal engine. The method comprises the following steps: completing basic data preparation, rule definition, model generation and visual presentation and analysis, and establishing a city model; secondly, constructing a vehicle motion model in an unreal engine, and simulating weather; the three-dimensional static model and a dynamic model in an unreal engine are fused to generate an urban environment; carrying out geographical gridding on the urban area; introducing a trafficability map and physical restrictions of the vehicle, and setting the trafficability map of the vehicle; an improved A * algorithm based on geographic gridding is introduced, path planning is conducted, the improved A * algorithm is used, and path optimization is achieved through a heuristic function and a penalty function; and outputting the generated path plan.

The application discloses a kind of city area photovoltaic cluster dynamic grid division methods based on space-time coupling tensor, comprising: synchronously collecting the active power time series and geographic coordinates of all photovoltaic nodes in city area;Build the heterogeneous space adjacency matrix considering electrical topology constraint, calculate the static space correlation degree between any two photovoltaic nodes;Build the time-shift cross-correlation matrix that captures the moving characteristics of weather system, quantify the dynamic time correlation degree between nodes;Perform space-time feature tensor fusion, obtain global space-time affinity matrix;Photovoltaic nodes are divided using improved spectral clustering algorithm, and the optimal grid number is adaptively determined by contour coefficient, finally generate photovoltaic cluster grid division scheme at this moment;According to grid drift threshold, trigger grid reconstruction.The application can effectively consider physical topology constraint and meteorological time delay characteristics, realize the accurate aggregation of photovoltaic cluster, significantly improve the accommodation capacity and regulation flexibility of distribution network to distributed energy.

The invention relates to the technical field of data processing, and discloses a ditch ecological restoration benefit evaluation method and system. The method comprises the following steps: inputting a ditch pollution source tracking data set into a ditch pollution transmission simulation algorithm, and calculating a ditch purification capability coefficient through ditch hydraulic retention time and a pollutant degradation rate to obtain a ditch self-purification efficiency matrix; a ditch bearing capacity comparison model before and after restoration is established according to the ditch self-purification efficiency matrix, the restoration gain proportion is calculated and determined through the ditch containing threshold value difference, and a ditch capacity improvement vector is obtained; and carrying out space coupling operation on the channel capacity improvement vector and a village-in-city building density distribution factor to generate a regional channel restoration contribution index, and obtaining a channel restoration efficiency quantification result. According to the method, the problem that environmental feature pertinence and quantitative analysis means are lacked in village-in-city ditch restoration benefit evaluation is solved, and the accuracy of restoration benefit evaluation is improved.

The invention discloses an adaptive adjustment method and system for urban lighting under digital twinning, and relates to the technical field of urban intelligent lighting, and the method comprises the steps: carrying out the twinning reconstruction of a lighting equipment network in an urban region, and determining a lighting twinning body; through urban distributed sensing, state initialization is carried out on a lighting twinborn body, lamp control constraint elements are introduced, each lighting device is used as a light environment intelligent agent, local game decision is executed, a lighting strategy is determined, and the lamp control constraint elements at least comprise comfort income, energy-saving income and glare punishment; and performing multi-thread instruction generation according to the lighting strategy, and performing lighting management and control on the lighting equipment network. According to the invention, the technical problems that the traditional urban illumination regulation and control are difficult to accurately match the actual demand and cannot balance the multi-aspect targets are solved, and the technical effects of adaptively adjusting the urban illumination, balancing the multi-aspect targets and improving the accuracy and effectiveness of illumination management and control are achieved.

The application discloses a three-dimensional map aided GNSS positioning method based on density clustering improvement, comprising the following steps: constructing a three-dimensional building model, generating a sky mask, pre-generating a sky mask database, judging satellite visibility, scoring the satellite visibility based on a shadow matching algorithm, optimizing candidate point screening rules, introducing an OPTICS clustering algorithm to sort, clean and select candidate points, and screening high-score points; taking the score of the high-score points as a weight, optimizing the calculation formula into a weighted average formula considering cluster weight, and calculating a final position. The positioning method can solve the problem of multiple adjacent peak candidate points in three-dimensional building model aided GNSS pseudorange single point positioning under similar geometric observation conditions in the vicinity of a city area in a complex urban environment, the OPTICS clustering algorithm is adopted to sort data points according to density, small clusters are removed, and effective cleaning and selection of candidate points are realized, so that the positioning precision is effectively improved.

The application discloses a city area railway underground station electromagnetic positioning type special-shaped middle floor assembly construction method, and construction steps are as follows: 1, prefabricating middle floors and all prefabricated structures; magnetic points are arranged on the side wall of each prefabricated structure near the lower end position on the side away from the platform, and the corresponding long side wall of the track top air duct near the lower end position on the side away from the platform; 2, electromagnetic force exciting devices are arranged below and / or on the side of the position where each prefabricated structure needs to be arranged; 3, each prefabricated structure is hoisted and fixed in position through the corresponding electromagnetic force exciting device; 4, the middle floor is hoisted and installed; 5, the middle floor and each prefabricated structure are fixed into a whole; and 6, all electromagnetic force exciting devices are removed. The application can avoid the defects of the cast-in-place method in the prior art, can realize simplification of the special-shaped floor, industrialized rapid installation, energy saving and environmental protection, and is more in line with the trend of green and low-carbon transformation in the city area railway construction field.

The application discloses a city area train operation scheme optimization method for co-line operation with national railway trains, comprising the following steps: S1: determining a car bottom operation scheme based on known car bottom quantity, vehicle maintenance conditions and large-small loop operation quantity; S2: setting a train stop scheme based on the section and station co-line of the national railway and the city area train and the limited demand of the city area train operation number; S3: determining a national railway train and city area train flow distribution scheme of the co-line station in unit time; S4: determining a city area train timetable based on the train stop scheme, large-small loop scheme and car bottom operation scheme of the city area train; and S5: considering the difference between daily lines and weekend lines, drawing a track use scheme and fine-tuning the train timetable based on the city area train timetable. According to the application, different transport demands can be integrated, the overall network efficiency in the hub can be improved, and on the basis of guaranteeing the national railway train transport capacity, the comprehensive benefits of the city area train can be maximized.

The invention discloses an urban area traffic road network subarea outer boundary drawing method, which comprises the following steps of: based on intersection position information and road section information which are preset on a map, slicing and refining the whole road network according to a topological relation by utilizing a slicing principle, and taking two adjacent intersections with the topological relation as minimum topological units; taking a boundary external expansion range as a limiting condition for drawing a region boundary, and obtaining a region external boundary of a minimum topological unit by using an envelope principle and a Convex Hull convex hull algorithm; and performing de-duplication and union on the plurality of minimum topological units according to the road network topological relation, and finally forming a crawler-type boundary set of the traffic road network of the whole urban area. According to the method, the situation that different region boundaries are overlapped due to the fact that the region boundaries are caught in concave packet traps during region boundary drawing can be avoided, and high adaptability and flexibility are achieved; and meanwhile, different scene requirements are met by setting different boundary limit thresholds.

The application discloses a kind of urban electric logistics truck team's cooperative scheduling optimization method and system, equipment, medium, it is based on Markov decision model to construct truck team cooperative scheduling model, by charging, distribution, transport capacity scheduling and receiving order are included into the action space of agent, comprehensively consider the influence of path planning, charging, freight demand, transport capacity scheduling and other factors to vehicle scheduling strategy, greatly improve the cooperative scheduling optimization effect;And, by the vehicle scheduling action selection mechanism in each region is converted into 0 / 1 programming problem, greatly improve the flexibility of action real-time selection, can be well adapted to the scheduling scene of delivery demand and charging cost change;Meanwhile, each grid area of city distribution area is taken as object and is scheduled and optimized, it is favorable to alleviate city area power load imbalance phenomenon.

The invention discloses a city-level parking resource optimization method and system, and relates to the technical field of intelligent transportation. The method comprises the following steps: acquiring real-time operation data and a geographic position of a parking lot in a target city area; constructing an urban parking topological graph which takes each parking lot as a node and takes a connecting road as a side; obtaining the real-time weight of each edge based on the real-time traffic data; calculating a real-time parking pressure value; nodes with the real-time parking pressure values larger than or equal to a first preset pressure value are high-pressure nodes, and nodes with the real-time parking pressure values smaller than the first preset pressure value are judged as potential nodes; performing pressure conduction simulation to obtain a simulated parking pressure value; the potential nodes and the high-pressure nodes with the simulated parking pressure values larger than the second preset pressure value and smaller than the first preset pressure value are determined as potential congestion clusters; and for each potential congestion cluster, calculating a price adjustment coefficient based on the simulated parking pressure value, obtaining a real-time parking rate, and generating a drainage instruction. According to the invention, the configuration accuracy of city-level parking resources can be improved.

The application relates to the technical field of urban planning, and provides a city facility deployment method and device based on reinforcement learning and electronic equipment, wherein the method comprises the following steps: acquiring a city area exchange graph corresponding to an initial city facility deployment scheme, and filtering low-quality edges with total deployment costs higher than a set cost threshold in the city area exchange graph to obtain a target city area exchange graph; based on a pre-trained city facility deployment model, a target city facility deployment scheme is generated according to the target city area exchange graph, and city facility deployment is performed according to the target city facility deployment scheme. According to the method, the low-quality edges in the city area exchange graph are filtered, the attention of the algorithm is guided to high-quality exchange operations, the precision of the target city facility deployment scheme is improved, the exchange operations are driven by the rapid reasoning of the graph neural network and the policy network to realize the city facility deployment, the heavy calculation is avoided, and the rapid generation of the target city facility deployment scheme is realized.

The invention relates to a road motor vehicle OD and city motor vehicle OD splicing method. The method comprises the steps that a traffic area is divided into an urban community, a toll station community and an external community; calculating a passenger flow volume proportion between the cells based on the mobile phone signaling data; and calculating the traffic flow between the urban communities and the external communities in combination with the entrance and exit directions of the toll stations. The method has the beneficial effects that the motor vehicle flow of the inner and outer regions of the city is accurately split by combining the in-out direction of the toll station and the passenger flow distribution proportion of the mobile phone signaling data, and the data blank between the city and the regional traffic model is filled. Moreover, a bidirectional flow splitting algorithm is adopted, so that the error of a single data source is effectively reduced, and the reliability of a calculation result is improved.

The invention discloses a city update intelligent monitoring method, system and platform based on double-branch cross fusion and multi-view dynamic attitude, and the method comprises the steps: generating and obtaining first data corresponding to a target city region, and generating corresponding second data in combination with cube projection; creating a first model corresponding to the first data, and based on the first model, generating corresponding third data in combination with a Cross-MTF feature fusion operator; establishing a second model corresponding to the first data, and generating corresponding fourth data; constructing a third model corresponding to the city, and generating corresponding fifth data based on the third model; based on the third data, the fourth data and the fifth data, performing fusion processing on the multi-view dynamic attitude index, and generating corresponding sixth data; wherein the sixth data is urban update thermodynamic diagram data, and the system and the platform corresponding to the method can realize automatic and refined perception and analysis of urban facade changes.

The invention provides a cross-department false information processing method based on urban social governance, and belongs to the technical field of false information processing, and the method comprises the steps: obtaining to-be-recognized first information; the first information is information obtained by standardizing the multi-source data; extracting risk features of the first information based on a predetermined standard feature library; the risk features comprise content features, main body features, propagation features, time features and regional features; inputting the risk feature into a pre-trained long-short-term memory network to obtain a risk level of the first information; and in response to the fact that the risk level is greater than a predetermined risk level, generating a cross-department disposal work order, and sending the cross-department disposal work order to a corresponding government affair department based on the department responsibility graph to realize cross-department false information processing. According to the invention, the processing efficiency of cross-department false information can be improved.

The application provides a city identification design performance evaluation method, relates to the technical field of performance evaluation, and introduces a solid angle quantitative index to describe the performance of identification design, so as to make up for the problem that quantitative indexes are lacked in the evaluation of the emergency response capability of a city area, has important theoretical value and practical significance for improving the safety resilience of a smart city, and the application also considers various city elements and the behavior capability of people when calculating, so that dynamic perception, group statistics and complex scene correction are realized. The application not only provides quantitative indexes for the evaluation of the emergency response capability of a city, but also can be used for guiding the design of an identification system by a chief engineer.

The invention provides an online key updating device, method and system for urban railways and a storage medium. The device comprises a key management center, a certificate management center and key using equipment, the key management center is responsible for key encryption, secure connection establishment and key management; the certificate management center is responsible for issuing, updating, revoking and the like of the digital certificate; the secret key using device is responsible for digital certificate application and state query, secure connection establishment and online secret key management message processing; the method comprises the steps of login verification, secret key updating instruction issuing, identity verification, ciphertext information transmission, digital envelope manufacturing, secret key information distribution, feedback information reading and secret key updating condition verification. According to the method, a digital certificate management system is introduced, it is ensured that interaction content in the key updating process is completely encrypted, intercept and tampering risks of a man-in-the-middle are avoided, and key management safety is ensured.

The invention discloses a wireless information transmission system and a wireless information transmission method in a mixed communication mode. The system comprises a national railway CTC; city area CTC; the urban rail train is provided with an LTE wireless communication module, and the national railway train is provided with a GSM-R wireless communication module; based on the line where the national railway train is located, the national railway train is selectively in wireless communication connection with the city CTC or the national railway CTC through the GSM-R wireless communication module of the national railway train. The city GSM-R system is used for realizing data transmission between the GSM-R wireless communication module and the city CTC; the LTE system is used for realizing data transmission between the LTE wireless communication module and the city CTC; and the city area communication front-end processor is configured with a GSM-R communication thread and an LTE communication thread which are respectively used for realizing data transmission between the city area CTC and the city area GSM-R system and between the city area CTC and the LTE system. The method has the advantage that the requirement for mixed running of trains of different communication systems on urban rail transit lines can be met.

The application discloses a kind of quick cross path scheduling methods of inter-city area customized public transport system, the shortest distance method between regions is used to build start point area end point set and end point area start point set, to generate start point area travel sequence Yo by insertion method, to generate end point area travel sequence Yd by insertion method, then the Yo and Yd are optimized by quick exchange method, finally the minimum value of start point × Yo × Yd is solved, which is the final inter-city area customized public transport system target path, with the shortest bus travel distance as the target;The method does not use probability distribution, effectively avoids the fluctuation of the final path result, according to the characteristics that the distance between nodes in different regions is much larger than the distance between nodes in the same region, the inter-regional traffic node set is established, and it is used as the end point of the start point region and the start point of the end point region, respectively, to maximize the range of optimal solution, effectively reducing the overall calculation scale.

The invention discloses an urban area change detection method fusing multi-modal data and a knowledge graph, and relates to the technical field of area change detection, and the method comprises the steps: obtaining multi-source geographic data, such as a remote sensing image, a streetscape image, an interest point and the like, and carrying out the preprocessing; inputting data such as streetscape image texts obtained through preprocessing into a knowledge graph ontology structure, and constructing a multi-mode dual-temporal city knowledge graph; constructing a multi-modal knowledge representation framework by using a bidirectional cross attention mechanism to obtain knowledge graph vector features; and constructing a regularized cosine similarity index by using the vector features of the knowledge graph, and analyzing a city region change detection result. According to the method, the multi-mode double-time-phase city knowledge graph is constructed, and the change condition of the city region is accurately sensed; a multi-modal knowledge representation learning framework based on a bidirectional cross attention mechanism is designed, and deep fusion of features between image information and text information is promoted.

The invention discloses an urban inland inundation prediction method based on multi-source sensor fusion, and the method comprises the steps: collecting multi-source original time sequence observation data in a target urban region, and carrying out the preprocessing of the observation data, and obtaining a preprocessing time sequence data set; calculating the reliability weight of each sensor in combination with historical observation data, and performing weighted correction on the observation value of each sensor based on the reliability weight; splicing the corrected observation values of the sensors according to a unified time axis vector, constructing a multi-source joint observation vector, and inputting the multi-source joint observation vector into a pre-training neural network time sequence prediction model; in the model training process, an innovative loss function is adopted, the sensor reliability weight is introduced into loss calculation, and weighted optimization of key sensor data is achieved. According to the method, multi-source sensor information can be fully utilized, the influence of abnormal data of a single sensor is weakened, high-precision and real-time prediction and early warning of urban inland inundation are realized, and scientificity and reliability of urban disaster prevention decision making are improved.

The invention belongs to the technical field of intelligent traffic systems, urban calculation and geographic information systems, and provides an electric vehicle charging pile utilization rate prediction method and device, equipment and a medium, and the method comprises the steps: carrying out the preprocessing of original data of a target urban region; according to the obtained static features and dynamic features, determining a geographic adjacency map and a travel tide flow diagram, then performing feature weighted fusion by adopting a time feature embedding mode, and according to obtained node fusion features, performing double-layer map attention aggregation on the geographic adjacency map and the travel tide flow diagram to obtain spatial feature embedding; learning the evolution of the charging load of the grid along with time by adopting a gating circulation unit; according to the method, the prediction error of the effective grid is adopted as a loss function, the data set is adopted for training, the grid charging load prediction model is obtained, follow-up prediction is carried out, and the environment adaptability and prediction precision of the model in different time periods can be effectively improved.

The invention discloses an urban digital twinning online channel modeling method, and relates to the technical field of cross fusion application of a digital twinning technology and wireless channel modeling. Comprising the following steps: 1) acquiring geographic information system data of a target city area, establishing a city three-dimensional static model through Unity software, and performing equal-proportion reconstruction and reflector parameter addition, so that electromagnetic characteristics of the model are matched with a real physical world; 2) acquiring satellite remote sensing images, constructing a data set of various urban scenes, and training the data set by adopting Swin Transform to realize identification and segmentation of urban communication scenes; 3) based on a scene identification and segmentation result, completing electromagnetic parameter matching of a communication scene in combination with a 6G universal channel model, and performing static electromagnetic reconstruction by using a ray tracing technology of Wireless Insite software; and 4) integrating the scene segmentation module, the channel characteristic prediction module and the three-dimensional city model to a Unity Platform.According to the method, the channel characteristic change in a complex city scene can be accurately captured.