448 results about "Electronic map" patented technology

The invention discloses a robot dog inspection path intelligent planning and dynamic adjustment method, system and device and a medium, and belongs to the technical field of robot path planning, and the method comprises the steps: calculating a task emergency degree index according to a weight coefficient of an inspection point and a time constraint, and determining a task priority; constructing a hierarchical electronic map containing the terrain difficulty coefficient and the moving cost; performing global path planning through a comprehensive cost function by adopting an A star algorithm; environment information is collected in real time through multiple sensors, and the dynamic obstacle layer is updated; performing real-time trajectory optimization by adopting a local path planning mode; selecting local path correction or global path re-planning according to the path execution state score; energy needed for completing the remaining tasks is predicted, and a charging path is planned when necessary. According to the invention, multi-target adaptive optimization of path planning is realized, a coordination mechanism of global planning and local adjustment is established, and the execution efficiency and reliability of inspection tasks are improved.

An AI-connected-electrified (ACE) heavy truck system equipped with an intelligent multi-mode hybrid (iMMH) powertrain system and a vehicle supervision control strategy based on machine learning (ML) or reinforcement learning (RL) paradigm are presented. This system ensures industry-leading power and braking performance of the ACE heavy truck while automatically optimizes both energy saving and emission reduction based on the vehicle's dynamic driving data and 3D electronic map information of roads for any transport event. In this application, the conventional analog electronic control (AEC) method is replaced by a novel digital pulse control (DPC) method on the instantaneous power function of the engine. The DPC method converts the complex surface working conditions of the AEC engine of the hybrid vehicles into simpler pre-defined working condition lines of the DPC engine. Consequently, the multi-variable nonlinear technical problem of simultaneously optimizing real driving environment (RDE) fuel consumption and pollutant emissions of the ACE heavy truck is simplified into two decoupled quasi-liner optimization problems, and ensures the reduction of on-vehicle computing resources for real-time AI inference computation and the improvement of the optimal performance, the convergent rate, and the robustness of the corresponding fuel-saving algorithm for the trained ML model or the learned RL model. Ultimately, the ACE truck achieves in the engineering sense the global minimum RDE fuel consumption and pollutant emissions meeting the standard consistently at high performance to cost ratio for any transport event and the RDE fuel consumption is decoupled from the vehicle configuration parameters and the human driver.

The invention discloses a visual drawing method and device for an inland ship navigation trajectory and a medium, and the method comprises the steps: collecting GPS positioning data, AIS dynamic parameters and static attribute data of a ship through a ship terminal, carrying out the preprocessing of the GPS positioning data and the AIS dynamic parameters, and storing the processed data in a database according to a timestamp index; calling a geocoding service interface, mapping the processed longitude and latitude coordinates of the ship to an electronic navigation channel chart coordinate system, and periodically updating a ship position mark in an electronic map interface; in response to a time period query instruction input by a user, extracting ship track point data corresponding to the timestamp sequence from the database, and superposing the ship track point data to the electronic channel chart to generate a dynamic track line; a user operation instruction is received through the time axis control, the ship mark position and the course display state on the trajectory line are dynamically adjusted, and visualized backtracking of the historical trajectory of the ship is achieved.

The invention discloses an under-mine environment accurate positioning system based on a UWB technology, and relates to the technical field of data processing and positioning, an underground area is divided into a safe area and a dangerous area by obtaining the structure risk value of each sub-area and combining the structure risk value and the position information of the corresponding sub-area, and the safe area and the dangerous area are accurately positioned. A plurality of rescue robots are arranged in the underground area; acquiring position information of the mobile tag, displaying the position information on an electronic map, generating an air quality coefficient, and dividing the plurality of sub-regions into risk regions and safety regions according to the air quality coefficient; and sending inquiry information to the miner, acquiring a corresponding safety coefficient, and if the acquired safety coefficient is lower than a safety threshold value, planning a support path to the miner for the rescue robot, so that the rescue robot rescues the miner along the support path. After the miner is found according to the position information of the miner, the miner is rescued through guidance of the rescue robot, and the miner is prevented from getting lost and being lost.

The invention discloses an environmental sanitation cleaning performance evaluation method and system based on work trajectory recognition, and relates to the technical field of intelligent environmental sanitation work management and performance evaluation, and the method comprises the steps: collecting the multi-source trajectory data of environmental sanitation vehicles and personnel, and generating a standardized trajectory data set through time synchronization, abnormality elimination and space registration; on the basis of the standardized trajectory data set, distinguishing an effective operation section and a non-operation section in combination with operation types, and labeling abnormal behaviors to output a recognition trajectory; carrying out overlay analysis on the recognition track and an electronic map, generating a regional operation completion degree, and outputting a space coverage and anomaly statistical result; and calculating a comprehensive performance score according to a regional operation completion degree result. According to the method, the effective operation section and the abnormal behavior are recognized in combination with the operation type, and the operation authenticity judgment precision is improved; and the identification track and an electronic map are superposed to calculate the work completion degree and generate a spatial statistical result, and finally a quantitative performance score is formed, so that automatic evaluation and refined management of the whole process of environmental sanitation work are realized.

The invention relates to the field of combat command and dispatch, in particular to a multistage linkage combat unit command and dispatch system. According to the invention, a basic-level minimum emergency unit element information base is constructed through a data acquisition module; generating an electronic map supporting 2D and 3D switching; an intelligent analysis early warning module identifies abnormal conditions and generates early warning information; a plurality of multi-level linkage combat unit topology networks are generated through the multi-level linkage command architecture module; generating a command data large screen for dynamically aggregating public security indexes and a global situation visualization electronic map through a global situation visualization module; an early warning area is circled and selected through the intelligent scheduling module; and associating the corresponding multi-stage linkage combat unit to generate a deployment instruction. According to the multi-level linkage combat unit command and dispatch system provided by the invention, the multi-level linkage combat unit is effectively combined with a dynamic visual geographical environment from data acquisition, analysis and early warning to command and dispatch through cooperation of multiple modules, so that the command and dispatch efficiency is remarkably improved.

A position point planning method, comprising: displaying an electronic map on a user interaction interface, the electronic map comprising a region to be operated for a movable platform (S101); synchronously displaying an auxiliary planning identifier on the electronic map along with a cursor, wherein the auxiliary planning identifier synchronously moves in response to the movement of the cursor, and the auxiliary planning identifier is used for providing a user with an indication of whether there is an abnormal factor that is not suitable for planning position points within a preset range with reference to the cursor (S102); and, after step S102 has been executed, in response to an input operation of the user, generating and marking a position point at the position currently indicated by the cursor (S103). The method can improve the rationality of position point planning.

The invention discloses a stereoscopic warehouse goods allocation intelligent binding system and method, and relates to the technical field of stereoscopic warehouse storage management. Comprising the following steps: S1, creating a two-dimensional electronic map of a warehouse, establishing a two-dimensional coordinate system of the warehouse, and based on the two-dimensional coordinate system and shelf positions, establishing coordinates of each shelf by taking a warehouse-out station position as a coordinate origin; s2, the RFID tag is installed at the preset position of the first layer of storage location of each goods shelf, and the coordinates of the goods shelf where the RFID tag is located are pre-stored in each RFID tag; by integrating the advanced navigation technology, the AI intelligent decision-making system and the multi-mode interaction unit, accurate and efficient binding of the goods locations of the stereoscopic warehouse is achieved. The system not only fully considers the three-dimensional space characteristics of the warehouse, but also combines the multi-dimensional factors such as dynamic heat and seasonal demand change of the goods, so that the goods allocation is more scientific and reasonable, and compared with the prior art, the system can dynamically adjust the goods allocation strategy according to the real-time demand.

The invention discloses a water body apparent spectrum synchronous acquisition and water quality parameter inversion system based on an unmanned ship, and relates to the technical field of intelligent sensing, and the system comprises the following steps: acquiring environmental parameters of the unmanned ship, constructing a deep reinforcement learning model, inputting the environmental parameters, and outputting a phase control instruction; constructing a water quality parameter inversion model, inputting noise-free spectrum data, and outputting water quality parameters; when the water quality turbidity in the water quality parameters exceeds a dynamic turbidity sudden change threshold value, triggering a laboratory to collect water quality verification data, comparing the water quality verification data with the water quality parameters to output a turbidity error, and when the turbidity error exceeds an inversion verification error threshold value, updating the weight of the water quality parameter inversion model; and performing spatial interpolation calculation based on the updated water quality parameter inversion model, outputting water quality parameter distribution, and displaying a water quality parameter thermodynamic diagram and a traceability pollution path through an electronic map. According to the method, the PLSR weight is updated online through the incremental learning algorithm, and the model adaptation speed is increased.

Disclosed in the present invention is a traffic all-domain safety early warning system based on real-time safety information fusion technology, comprising a traffic all-domain big data cloud center, an onboard intelligent terminal OBU, an intelligent terminal having a client APP installed thereon, and a roadside unit RSU; the onboard intelligent terminal OBU is used for acquiring vehicle self-collected information serving as a first-layer information source; the roadside unit RSU is used for acquiring RSU information serving as a second-layer information source; the intelligent terminal having a client APP installed thereon is used for acquiring all-domain traffic information serving as a third-layer information source; and the traffic all-domain big data cloud center corrects the accuracy of dynamic traffic data comprising the vehicle self-collected information, an RSU information source and the all-domain traffic information, and fuses the corrected data into a unified traffic electronic map. The present invention ensures that all types of individuals entering the public traffic space can be detected in advance, thereby improving the information transparency and operation efficiency of the traffic system, and travel safety.

The invention discloses a train operation electronic map construction method and system based on meta learning, and the method comprises the steps: firstly synchronously collecting the geographic coordinate data of a train high-precision positioning device RTK and the kilometer post data of a train operation monitoring device LKJ, and building a fusion sequence of time-space alignment through time alignment and interpolation processing; electronic map construction is converted into a regression problem of'latitude and longitude backstepping kilometer post ', and a parameterized model is adopted to describe a nonlinear mapping relation between the two; introducing a deviation correction model to compensate RTK drift and kilometer post errors; through a meta-learning mechanism, general initial parameters are learned based on a model-independent meta-learning strategy in an offline stage, and a small number of samples are utilized to quickly adapt to a new line or dynamic deviation in an online stage; and finally fusing the correction data to generate and continuously update the electronic map. According to the method, the electronic map construction precision, the new line adaptation capability and the long-term stability are improved, and the high-precision positioning and real-time calibration requirements of rail transit are met.

The invention discloses a train control system, method, equipment and medium based on active sensing and autonomous localization, and the system comprises a multi-source autonomous sensing system which collects and outputs the information of the environment in front of a train by fusing the sensing data of a plurality of sensors; the vehicle-mounted standby system is in communication connection with the multi-source autonomous sensing system, accesses a pre-stored digital track map and is used for dynamically generating route topology and movement authorization and generating a train control instruction according to the train front environment information, the train real-time position and the line data of the digital track map; a dual-mode communication switching unit is arranged in the vehicle-mounted standby system and used for monitoring the communication state of the main train control system, and when the main train control system breaks down, the train control right is automatically switched to the standby system. Compared with the prior art, after the main train control system loses efficacy, the train can be made to be independent of a central control system and a fixed electronic map, the real-time state of a line is automatically adapted, and the safe driving instruction is generated.

The invention relates to the technical field of orchard disease and insect pest early warning and prevention resource management, in particular to an orchard disease and insect pest early warning and prevention resource management decision support method based on multi-source data, and the method comprises the steps: firstly obtaining orchard multi-source data, and constructing a space-time fusion data set with a geographic grid as a unit through space-time alignment and standardization processing; inputting the data set into a machine learning multi-classification model, and outputting a risk quantification index of a future specific pest and disease damage; triggering a prevention and treatment decision engine based on an index, and combining a resource knowledge base to generate an optimal prevention and treatment prescription through multi-objective optimization; then, matching prevention and control resource real-time inventory with agricultural machinery space positions, and generating a resource scheduling scheme and agricultural machinery operation path planning; and finally, the integrated information is visualized on an electronic map, a control instruction is issued, and feedback is received to form closed-loop management. The method improves the accuracy of disease and pest early warning, achieves the optimal prevention and control scheme, improves the utilization efficiency of resources and agricultural machinery, and provides support for scientific management of orchard diseases and pests.

The invention discloses an intelligent inspection vehicle dynamic collaboration method based on multi-modal sensing fusion and related equipment, which can effectively improve the inspection efficiency and realize efficient and dynamic collaborative operation. The method comprises the steps of receiving an inspection task of a target area; decomposing the inspection task into a plurality of sub-region tasks based on the electronic map of the target region; dynamically allocating a plurality of sub-region tasks to region edge nodes according to a dynamic cooperative control algorithm; receiving target data of each area edge node, wherein the target data is generated after the area edge node performs fusion analysis on multi-mode sensing data reported by the managed intelligent inspection vehicle cluster; performing global monitoring based on the target data to obtain a monitoring result; and when a monitoring result shows that a major abnormal event needing cross-regional cooperation occurs, issuing a cross-regional cooperation instruction to at least two adjacent region edge nodes, so that the intelligent inspection vehicle clusters managed by the at least two adjacent region edge nodes perform cooperative operation.

The invention relates to a method for automatically configuring a robot outdoor inspection target, which comprises the following steps of: firstly, manually measuring and drawing an electronic map of a transformer substation, including a charging station and a default inspection path; then, the robot walks along the paths, equipment photos are shot regularly, and position information is recorded; then, a worker checks the photo, selects a polling target and calculates SIFT feature points; afterwards, target labeling and model training of the photos are carried out, and errors are eliminated through comparison of recognition results and SIFT algorithm output; the accurate recognition effect is achieved through multiple times of iterative training; finally, the system automatically recognizes the target from all the photos, analyzes the size, distance and angle of the target, and screens proper photos for labeling according to the shooting angle; the holder shoots the target according to the inspection route and the target position, and configuration is completed. According to the invention, rapid positioning, state evaluation and fault diagnosis of an inspection target and instant transmission and analysis processing of related data can be realized, and the intelligent and automatic degree of inspection work is greatly improved.

The invention provides an RFID-based monitoring system, and relates to the technical field of data processing, and the system comprises a deployment module which is used for deploying a plurality of RFID readers in a monitoring area, forming a read-write network, and recording the geographic coordinates of the readers; constructing an electronic map of the monitoring area based on the geographic coordinates of each reader-writer, and carrying out spatial buffer area analysis by taking a hazard source as a center and combining hazard source attribute data to obtain area boundaries of different hazard levels; dividing an area in the area boundary into two annular monitoring areas; and the positioning module is used for configuring an identity certificate of an RFID electronic tag for a person entering the monitoring area, scanning in a preset period through a read-write network, and obtaining the identity information of the person and the corresponding real-time position. Through cooperation of all the modules, full coverage of a monitoring area, personnel positioning and identity association, risk quantification fusion early warning and full-process datamation management after alarm are achieved, and the accuracy and timeliness of safety monitoring of a crowded place are improved.

The present invention pertains to the field of train positioning and communication for rail transit signaling systems, and relates to an integrated rail transit positioning and communication method and system, a device, and a medium. The present invention is aimed at modifying and redesigning a frame format of a secondary surveillance radar, and achieves train positioning for signaling system control purposes by means of time-division multiplexing of a communication frame and a positioning frame, performing ranging between a plurality of vehicle-mounted tags and ground base stations, and querying a built-in electronic map. In addition, the present invention provides three train-to-ground methods, i.e., positioning frame-based point-to-point communication, communication frame-based broadcasting, and communication frame-based point-to-point communication, to enable train control information interaction between a train and a control center, and thereby achieve communication and positioning integration. Compared with the prior art, the present invention provides a standby communication positioning system for a rail transit signaling system, which improves signaling system communication and positioning reliability, and switches to an active system when the signaling system fails, thereby ensuring the normal operation of a train operation control system.

The invention relates to the technical field of agricultural information, in particular to a vegetable planting mode intelligent recognition system and method based on stable isotopes. The system collects stable isotope data of delta 13C, delta 15N and the like of vegetables, constructs a multi-dimensional database containing production places and cultivation modes, integrates four machine learning models of PLS-DA, SVM, RF and ANN to realize automatic identification of the planting modes, and realizes user interaction through electronic map visualization sampling points, background support data uploading and model dynamic training and front-end applets. Innovation points comprise stable isotope and machine learning fusion, a multi-model layered recognition architecture, an incremental learning mechanism, geographic information visualization and the like. The system can efficiently and accurately identify the vegetable planting mode, and the agricultural supervision efficiency is improved.

The application relates to a trajectory data compression and decompression method, device, equipment and medium, and is applied to the field of maps. The method comprises the following steps: acquiring a trajectory point representing an object trajectory; matching the trajectory point to a road network of an electronic map to obtain at least one object trajectory section; the object trajectory section is a section passed by the object in the road network; performing thinning processing on the at least one object trajectory section according to section characteristic information corresponding to each object trajectory section to obtain a key trajectory section; the key trajectory section is a part of the object trajectory section and is used for restoring the object trajectory; and the key trajectory section is compressed and stored to obtain trajectory compression data. The method can save storage resources.

The application discloses a kind of highway tunnel underpass existing water tunnel construction method, it is related to tunnel construction technical field, in the surface area of construction area, set up several collection points, obtain and generate rainfall coefficient Jxs, the construction area is divided into several monitoring areas, in monitoring area, randomly set up several first monitoring points, establish groundwater body dataset and generate groundwater body safety factor Dxs, according to groundwater body safety factor Dxs, corresponding monitoring area is determined as first-level alarm area;The position information of first-level alarm area is marked on electronic map, obtain the image information of rock stratum in each first-level alarm area, and the crack on rock stratum in first-level alarm area, if the crack quantity of rock stratum is greater than the preset quantity threshold, mark corresponding first-level alarm area and send out early warning. By establishing first-level alarm area and obtaining the crack on rock stratum surface, the safety state of rock stratum can be judged in time.

The application relates to the technical field of path planning, and discloses a real-time planning and visualization method and system for a fire-fighting maintenance optimal path, which comprises the following steps: superimposing a fire-fighting fault equipment occurrence site as a first position coordinate and a resource point in a maintenance team as a second position coordinate to an electronic map to obtain an initial navigation path of the maintenance team; according to real-time traffic information, the initial navigation path is constrained to obtain a path planning rule; based on the path planning rule, path optimization is performed on the initial navigation path to obtain a dynamic optimal path; according to the dynamic optimal path, a multistage path guidance instruction and a visual path layer are generated; the visual path layer and the electronic map are dynamically rendered to obtain a real-time navigation interface; and according to the real-time navigation interface and the path guidance instruction, real-time navigation guidance is provided for the maintenance team; and the application can improve the accuracy of reference information generation of real-time planning and visualization of a fire-fighting maintenance optimal path.

The invention provides a local area communication quality detection method and device and a storage medium, and the method comprises the steps: collecting a first signal quality value recorded during the communication of a 5G-R baseband chip and a second signal quality value recorded during the communication of a detector when a train runs along a line; constructing the first signal quality values into a first signal quality sequence according to the line; constructing the second signal quality values into a second signal quality sequence according to the line; collecting a target operation representing communication quality change for the mobile terminal in the train based on the wireless access point; constructing the target operation into a third signal quality sequence according to the line; correcting the second signal quality sequence into a fourth signal quality sequence of the line according to the first signal quality sequence and the third signal quality sequence; and mapping the fourth signal quality sequence on an electronic map to a local area through which the line passes. The embodiment of the invention improves the accuracy of detecting the quality of mobile communication signals in surrounding areas along the track.

The invention discloses a map conversion method and apparatus. The method comprises the steps of obtaining original data of unmanned aerial vehicle patrol flight; performing conversion processing on the coordinate data to obtain target coordinate data, and performing correction processing on the original image according to the target coordinate data and the flight attitude parameters to obtain an orthoimage; performing feature preprocessing on the orthoimage to obtain target vector data and target raster data; carrying out topological relation map construction according to the target vector data and the target raster data to obtain electronic map data; performing error correction on the electronic map data according to the high-precision reference map to obtain a corrected electronic map; and carrying out data integration on the corrected electronic map and the electronic map data to obtain a target electronic map. Therefore, by integrating the corrected electronic map data and the uncorrected electronic map data, the integrity and consistency of the data can be further improved, and the precision of the generated final electronic map is ensured to be higher.

The application relates to the technical field of AR devices, and discloses a distributed manual war game deduction system supporting AR device cooperation and a management method. The method comprises the following steps: verifying a registration message sent by an AR device, establishing a long connection channel in a central server, uploading a state reporting message of the AR device to the central server through the long connection channel, updating a device state table of the central server, synchronously pushing global deduction situation data to a browser client, performing operator marking identification on a war game map image, obtaining an operator physical change event, generating situation update data based on the operator physical change event, and broadcasting the situation update data to all online AR devices and browser clients, rendering an electronic map in the browser client according to the situation update data, and generating an augmented reality projection picture in the AR device. The application realizes seamless connection between a physical world manual operation and a digital system, and further realizes operation reliability of a large-scale hybrid war game deduction system.

The application discloses a target trip identification method and system, and relates to the field of traffic data analysis and processing.The method comprises the following steps: drawing an electronic fence monitoring area at a preset position of an electronic map, determining the topological direction relationship of all the electronic fence monitoring areas; acquiring positioning data of a target, and judging whether the target is located inside the electronic fence monitoring area according to the positioning data, and recording the identification time; when the target is located inside at least two electronic fence monitoring areas, judging whether all the electronic fence monitoring areas where the target is located belong to the same trip according to the topological direction relationship and the identification time.The application can realize the trip identification and the passing point identification of a vehicle, does not depend on whether there is an external equipment, does not need to deploy a large number of server computing resources and purchase GIS maps and other facilities, and can quickly realize the association of Beidou track information and road information of the vehicle by using the simplest calculation cost, and output the trip information of the road passed by the vehicle.

The invention discloses an electro-gas welding equipment positioning and deviation rectifying system and method based on optimized Kalman filtering, and relates to the technical field of Beidou navigation positioning.The system comprises an original data acquisition module which is deployed on electro-gas welding equipment and used for obtaining original positioning data of the electro-gas welding equipment in real time based on a Beidou navigation chip, the information is uploaded to a background server through a communication network; the filtering deviation correction module is used for receiving the original positioning data and sequentially executing rule judgment and optimized Kalman filtering processing to generate coordinates after deviation correction; the coordinate position marking module is used for marking the corrected coordinates on an electronic map for visual display; according to the method, the problems of positioning drift, matching errors, track jittering and the like of existing GNSS positioning in a complex factory environment are effectively solved by fusing rule judgment and a dynamic filtering technology, finally, the corrected coordinates are marked on an electronic map in real time, and visual monitoring and abnormal behavior early warning are supported.

The invention relates to the technical field of electronic maps, and discloses a map data acquisition system and method. The system comprises an acquisition vehicle generation module, an acquisition task issuing module, a vehicle end acquisition module and a task tracking module. The collection vehicle generation module screens high-frequency passing vehicles and tracks through track clustering; the acquisition task issuing module segments the track to generate a strategy containing a vehicle code, a period and a plurality of segments of acquisition areas; the vehicle end acquisition module judges an acquisition area according to the longitude and latitude and the distance between the starting point and the ending point in a period, stores point cloud and image data, and uploads the data in a slicing manner; and the task tracking module monitors data uploading. According to the method, logistics vehicles and accurate positioning areas are reused, real-time slice uploading is realized, the cost is reduced, the period is shortened, the data freshness and accuracy are improved, and the method is suitable for high-precision map acquisition and updating of logistics scenes.

The invention provides a mining area annunciator ROI recognition method, device and equipment based on satellite positioning and a medium, and the method comprises the steps: determining a relative translation position relation between a reference point of a camera and a main antenna based on a global coordinate system by taking the position coordinate of the main antenna of RTK equipment as an original point; determining a camera coordinate system by combining internal reference of the camera and a rotation matrix from the RTK equipment to the camera, and correcting a pitch angle through the rotation matrix to obtain a coordinate transformation relation; the RTK coordinates of the current train are determined in real time according to the constructed mining area electronic map, and the map is inquired to determine a target signal machine and a position coordinate set of the target signal machine based on an image shot by a camera; converting the position coordinate set of the target annunciator to an RTK local coordinate system based on a coordinate conversion relation, and constructing a 3D frame body by taking a coordinate center as a reference point; converting coordinates and projecting to obtain an image pixel coordinate system of the target signal, thereby obtaining an ROI region; and carrying out light color identification on the ROI region and carrying out target detection and classification.

Embodiments of the present application provide a rendering method, device, storage medium and computer program, wherein the rendering method comprises: obtaining a positioning position of a navigated object and a navigation route; obtaining a target lane contained in a target road in front of the positioning position of the navigated object and to be driven into by the navigated object according to the positioning position and the navigation route; determining a rendering parameter of an electronic map to be rendered according to an attribute of the target lane contained in the target road and / or a navigation guiding action of the navigation route on the target lane, the rendering parameter at least enabling a lane-level rendering element in the electronic map to be rendered to be displayed within a screen visual field range; and rendering the electronic map to be rendered according to the rendering parameter. Because the rendering parameter is dynamically adjusted according to the target road in front, the lane-level rendering element of the target road is within the screen visual field range, the visual field requirement of a user browsing the electronic map is met, and the navigation effect is improved.

The application provides a city surface area classification method and related equipment. The city surface area classification method comprises: obtaining a first target parameter of a to-be-determined city surface area, the first target parameter comprising a characteristic building height, an average building height, a building height standard deviation, a building coverage rate, an impervious surface ratio, a characteristic vegetation canopy height, an average vegetation canopy height, and a vegetation coverage rate of the to-be-determined city surface area; inputting an electronic map corresponding to the to-be-determined city surface area and the first target parameter into a city surface area classification model to obtain a city surface area type corresponding to the to-be-determined city surface area output by the city surface area classification model, the city surface area type being used for analysis or simulation of heat waves, air quality, and extreme weather of the to-be-determined city surface area. In the application, the fineness and determination accuracy of the city surface area type are improved.