138 results about "Line planning" patented technology

The present invention discloses a bus route optimization design method and system based on resident travel big data, the method comprising the steps of: obtaining mobile phone signaling data of residents in a target area; obtaining the stop points of residents' travel trajectories; dividing the target area into a number of traffic areas; obtaining an OD matrix based on the stop points of residents' travel trajectories and traffic areas; constructing a bus route planning model; generating a number of bus alternative routes based on a shortest path algorithm; obtaining a target bus route from the alternative routes based on a genetic algorithm and in combination with an objective function and an OD matrix. Compared with the prior art, the present invention not only innovatively combines spatiotemporal big data and genetic algorithms in technical means, improving the accuracy and efficiency of bus route planning, but also demonstrates strong advantages in system architecture and data processing capabilities, and can provide a more scientific, dynamic and sophisticated optimization solution for the urban public transportation system, contributing to the efficient operation of urban transportation and the construction of smart cities.

The invention discloses a welding gun pose online planning method for multi-layer and multi-channel external welding of a pipeline and related equipment. The method belongs to the technical field of intelligent welding and comprises the steps that a laser line image and welding gun posture data of a pipeline welding groove are obtained; extracting feature pixel points from the laser line image; converting the three-dimensional point cloud into a three-dimensional point cloud through a detection mathematical model, fitting to obtain a three-dimensional welding groove graph, and calculating a welding groove size parameter, a welding gun pose parameter and a to-be-welded workpiece pose parameter by utilizing the three-dimensional welding groove graph and the welding gun pose data, so as to determine a welding gun pose planning value; filling welding of the current pass is conducted along the welding groove according to the welding gun pose planning value, meanwhile, the welding gun pose real-time value is detected in real time, and the welding gun pose real-time value is corrected; in the return stroke, welding gun pose parameters are re-planned; and after multi-pass filling welding is completed, a welding gun is controlled to conduct cosmetic welding on the welding groove, and pipeline outside welding is completed. Therefore, the method can obtain a better welding effect.

The invention relates to the technical field of circuit board line planning, in particular to an automatic design arrangement and path planning method and system for a double-sided board and multi-layer board printed circuit. The method comprises the following steps: acquiring input parameters of a circuit board, and analyzing to generate an initial structure of a wiring grid diagram; abstracting a wiring problem into a graph model, and extracting a wiring topological structure and density distribution characteristics; a deep reinforcement learning algorithm is adopted to optimize and generate a wiring path, and factors such as a wiring direction, layer selection and path length are considered at the same time; detecting, adjusting and optimizing wiring design rule conflicts on the basis of generating the wiring path; a comprehensive evaluation system of a wiring path planning scheme is established, indexes such as wiring efficiency, density and interlayer balance are considered, preset quality requirements are met through iterative optimization, and an optimized wiring path is output. According to the method, the wiring strategy can be adaptively learned and improved, and the reliability, efficiency and quality of wiring planning are improved.

The invention discloses a line planning method and system, and relates to the technical field of electric power line inspection. According to the line planning method, a plurality of feasible inspection paths are generated by obtaining a list of tasks to be inspected and three-dimensional coordinates of an electric tower and an inspection part of the electric tower, combining regional environment data, constructing a semantic knowledge graph and a spatial topological structure chart, determining an optimal path through evaluation, screening and analysis, and transmitting the optimal path to an unmanned aerial vehicle to execute an inspection task. According to the method, the flight state is monitored in real time, the abnormal condition is found in time, and the residual path is dynamically replanned in the inspection process, so that the smooth execution of the inspection task is ensured. The flight state and the environment interference of the unmanned aerial vehicle are monitored in real time, and the dynamic path is replanned according to the actual condition; according to the method, the flexibility and emergency response capacity of the inspection task are remarkably improved, the efficiency and safety of the inspection task are effectively improved by dynamically adjusting the path, and the adaptive capacity of the unmanned aerial vehicle in a complex environment is enhanced.

The invention relates to an intelligent line selection optimization method based on a medium-voltage power distribution network, and the method comprises the following steps: generating a plurality of line planning schemes, and obtaining the environment temperature and pollution degree space-time distribution characteristics of each scheme; establishing a collaborative prediction model, and predicting time series data of future temperature and pollution degree; based on material characteristics and aging test data, establishing an insulating material performance degradation model; constructing an evaluation algorithm and generating a preliminary line candidate scheme by using the prediction data and the degradation model; evaluating the long-term operation risk of the candidate scheme in the prediction environment to obtain a comprehensive reliability evaluation result; solving a Pareto optimal line scheme set meeting a multi-target weight combination by adopting a multi-target optimization model; and carrying out adaptability analysis on the optimal scheme set, and selecting the scheme with the lowest environmental sensitivity as a final optimization scheme. According to the method, the scientificity and the accuracy of line selection are improved, and the safety and the reliability of the power distribution network are enhanced.

The invention discloses an electric power line fault intelligent early warning and monitoring system in a tunnel environment, and relates to the field of electric power fault identification, and the system comprises an instruction management and control module which is used for accessing an electric power line general network of a target tunnel, and obtaining operation data access and control instruction issuing authority; the line planning module is used for dividing the whole line into different scales and outputting a plurality of sections of lines with different scales and physical coordinates and electrical parameters based on the topological structure and the historical fault point location distribution of the target tunnel power line by taking the historical fault distribution of the same point location data as a target; through dynamically adjustable multi-scale line division, a traditional global fixed monitoring mode is broken through, a line is divided into independent monitoring units of different scales, dynamic merging or slitting according to a data trend is supported, and the division scale of the line is dynamically adjusted according to a trend deterioration degree and historical data analysis. And an optimal segmentation point is flexibly selected under different conditions by using an optimization algorithm, and local refined monitoring is realized.

The invention discloses a line intelligent planning and fault early warning method suitable for electric power engineering design, and relates to the technical field of electric power engineering. The method comprises the following steps: quantifying geographic information, geological conditions and construction cost into a continuous decision curved surface through spatial semantic segmentation and a cost curved surface model, and identifying a large-area low-cost region as a primary feasible region in combination with a dynamic clustering algorithm; a multi-dimensional decision index is constructed based on spatial features, geological stability and facility association data, fault regions such as terrain abrupt change or facility conflict are identified through real-time association coefficients, and an exception handling mechanism is triggered; and selecting a seed region with an optimal construction condition as an anchor point, constructing a joint probability model of spatial features and cost, and generating an optimal path considering feasibility probability and cost effectiveness in combination with an expectation maximization algorithm and a graph optimization technology. According to the invention, scientificity and economical efficiency of cable planning under complex geological conditions are improved, and key technical support is provided for intelligentization of electric power engineering.

The embodiment of the invention provides an intelligent vehicle scheduling method based on multi-factor dynamic optimization, and the method comprises the steps: a data collection step, which is used for collecting orders, vehicles, drivers and external environment time, and carrying out the cleaning and standardization processing of the data; a scheduling algorithm determination step: according to the data output in the data collection step, raising a preliminary scheduling and route planning scheme; initial constraints and targets are set, and optimization targets are set; operating an optimization algorithm to iteratively solve an optimal scheme; wherein the optimization targets include but are not limited to reduction of transportation time, reduction of cost and improvement of service quality; the scheme evaluation step is used for evaluating the candidate schemes output by the scheduling algorithm determination step in a multi-dimensional mode, selecting an optimal scheduling scheme and issuing a scheduling instruction; and a monitoring and feedback step: monitoring the data of the vehicle and the transportation process through the Internet of Things equipment and the sensor, and dynamically adjusting the optimal scheduling scheme in real time according to the data.

The invention discloses a line path planning scheme generation method and system based on deep reinforcement learning, and the method comprises the steps: firstly constructing a grid map and an evaluation index system of a planning region, determining the index weight based on a Critic method to construct a grid comprehensive cost evaluation model, and then constructing a path planning model with the minimum total cost as a target, the method comprises the following steps of: firstly, extracting an optimal power transmission line planning path, describing the optimal power transmission line planning path as a Markov decision process, then introducing mixed noise and an epsilon-greedy strategy into a depth deterministic strategy gradient algorithm, improving a priority experience playback mechanism to obtain an improved depth deterministic strategy gradient algorithm, and finally training an intelligent agent based on the algorithm and outputting an optimal power transmission line planning path. According to the method, mixed noise is added, the exploring ability of the intelligent agent is improved, a greedy strategy is introduced to accelerate the learning efficiency of the initial stage of the algorithm and reduce the exploring frequency so as to reduce unnecessary trial and error, and finally, an instant reward value is fused into a priority experience playback mechanism to help the intelligent agent to accurately distinguish the importance of different experiences and accelerate the learning efficiency of the intelligent agent.

The invention relates to the field of power transmission line planning and design, and discloses a power transmission line optimization method which comprises the following steps: performing ground feature recognition and constructing a multi-rule constraint model by obtaining a digital elevation model and remote sensing image data so as to optimize line path planning; calculating and comparing the comprehensive cost of different line schemes by using an ant colony optimization algorithm under the constraint condition of considering a plurality of factors such as a voltage grade, ground feature crossing, a tower type, construction cost and the like; and finally, realizing visual display of the optimal power transmission line path in combination with a GIS tool, and providing visual line planning and decision support. According to the method, an economical and efficient route planning scheme can be generated in a complex ground feature environment.

The invention relates to a cruise low-altitude penetration task route planning method based on an improved A * algorithm, and belongs to the field of route planning of unmanned aerial vehicles. The method comprises the steps of firstly planning and generating a track result for avoiding enemy ground radar threats in a battlefield environment through an improved A * algorithm; secondly, on the basis of the two-dimensional flight path planning result, height planning meeting the performance constraint of the fixed-wing unmanned aerial vehicle is achieved through a particle sedimentation method; and finally obtaining a three-dimensional air route of the fixed-wing unmanned aerial vehicle for completing the established combat task. According to the method, off-line and on-line planning of the reference flight path in a combat mission scene of the fixed-wing unmanned aerial vehicle is realized, the planning time before launching is shortened, the airborne flight path calculation efficiency is improved, the reaction time is shortened, and thus the adaptive capacity of the fixed-wing unmanned aerial vehicle to a complex battlefield environment is improved.

The invention discloses a flexible interconnection configuration method and system for a power distribution network frame, a medium and equipment, and belongs to the technical field of power distribution network planning of an electric power system, and the method comprises the steps: obtaining an equipment parameter, a source load parameter and a network topology parameter of a current power distribution network; based on the equipment parameters, the source load parameters and the network topology parameters, taking the joint planning of SOP, interconnection switches and lines as an optimization object, taking the lowest comprehensive equiannual value cost of an investment scheme as a target, constructing a target function, and combining a physical structure constraint, an equipment operation constraint, an electrical performance constraint and a network reconstruction constraint to construct a planning model; and iteratively solving the planning model, and outputting a configuration scheme for power distribution network reconstruction. Therefore, by implementing the method, the problems of high investment cost, low operation efficiency and difficulty in realizing efficient consumption of new energy and economic operation of the system under resource constraints caused by lack of cooperation of equipment and line planning in a power distribution network planning configuration method in the prior art can be solved.

The invention discloses a multi-line efficient transfer bus planning method based on deep reinforcement learning, and the method comprises the following steps: S1, obtaining the bus travel demand data of a traffic zone of a research region, and obtaining the bus passenger flow of a road segment of the research region; s2, according to the bus passenger flow volume of the road section of the research area in the step S1, a frequent item set mining method is adopted to carry out bus route planning, and a bus route sequence of the research area is obtained; s3, according to the bus route sequence of the research area in the step S2, bus route planning is converted into a Markov decision process, and a bus departure time table scheduling model is constructed; s4, according to the bus departure time table scheduling model constructed in the step S3, searching an optimal bus departure time by adopting a dual deep Q network method; according to the method, the bus travel efficiency is improved, the problem of low bus resource allocation is solved, and flexible and efficient allocation of bus resources is realized.

The invention discloses a public transportation network reconstruction method under urban rail networking operation, and the method comprises the steps: obtaining multivariate travel data, carrying out the data-driven calculation of passenger flow OD, and providing scientific data support for network planning; meanwhile, when the whole line network is established, a backbone network and a connection network are adopted to simplify levels, technical indexes and service standards of all the levels are defined, actual passenger flow distribution is accurately measured and calculated, and the reasonability of line planning is ensured; and meanwhile, by establishing a three-dimensional matching index system, quantifying the difference between the current situation and the ideal network, and by differentiating schemes and implementing priority ranking, lines with large difference are optimized according to priorities, so that gradual optimization of the whole network is realized, large-scale oscillation is avoided, and finally reconstruction of the public transport network is realized. A complementary situation with urban rail transit is formed, redundant waste of public traffic design is avoided, and meanwhile, residents can go out more conveniently by optimizing lines.

The invention relates to the field of flight path planning, in particular to a culture algorithm-based flight path planning method in a dynamic environment, which comprises the following steps of: constructing a dynamic environment model by monitoring weather conditions and trajectories of surrounding flyers in real time, and online planning a reachable flight path and extracting feature nodes as knowledge reserve in combination with flight mission requirements. And performing off-line planning by using the knowledge to obtain an optimal track. In the flight process, the environment change is continuously monitored, once the current optimal flight path is influenced by the environment change, the influenced part is re-planned by using an online planning method, and previous knowledge is used for guiding optimization. The method has the multiple advantages of adapting to environment changes in real time, improving flight safety, optimizing flight efficiency, reducing flight path adjustment frequency, enhancing autonomous decision-making ability, improving task success rate and the like, has high expandability and flexibility, and can be suitable for different types of unmanned aerial vehicles and flight tasks.

The invention relates to the technical field of construction management, in particular to a highway construction scheduling optimization method and system based on big data, and the method comprises the following steps: screening abnormal points and calculating a driving distance based on the coordinate data of a transport vehicle, analyzing the matching condition of a track and route planning, and recognizing progress offset and time period rearrangement signals; and dynamically adjusting material putting and equipment operation nodes to obtain a field operation response beat amount. According to the invention, based on big data real-time processing and sequence analysis, time sequence screening and abnormal point elimination are carried out on vehicle coordinate data, remaining road section features are extracted, progress offset is continuously tracked, rhythm offset features are dynamically generated by comparing arrival time and node demands, a periodic trend monitoring and abnormal state identification mechanism is established, and the abnormal state identification accuracy is improved. And dynamically triggering resource allocation time sequence rearrangement, carrying out integrated linkage on data such as a job node state, a material release rhythm and an equipment job window, and realizing resource release rhythm optimization and task parameter self-adaptive adjustment.

The invention provides a mountainous area tower optimal construction path site selection method, and relates to the technical field of power transmission line planning, the method reduces the calculation difficulty through map section division in the line planning process, adopts a path finding algorithm to form an initial optimal path according to the path movement cost, and then combines the consideration of the actual influence range of an obstacle area to obtain the optimal construction path site selection of the tower in the mountainous area. Designing a bypassing scheme when the initial optimal path passes through the obstacle area; then path screening is carried out according to a set principle to ensure that the tower consumption of the optimal path is less and the cost is lower; and finally, splicing the optimal path of each section to form an integral optimal construction path. Compared with a traditional site selection method, the method provided by the invention has the advantages that the calculation speed is effectively improved, the drawing and site selection of the finally selected optimal construction path are more accurate, the reworking times are greatly reduced, and the site selection efficiency of the tower construction route is improved; the measurement and calculation result is more accurate, waste of redundant towers is reduced, and the construction cost is reduced.

The present invention discloses a method for automatic fault detection and repair of a self-healing intelligent power line, comprising the following steps: using a K-Means clustering algorithm to perform cluster analysis on fault sensor data, determining fault-frequently occurring areas, and then, for line equipment parameters and electrical parameters in a local repair section, using a convolutional neural network model of heterogeneous data fusion to perform feature extraction and matching analysis on line layout images and parameter data, judging the compatibility of a local repair scheme with the original line planning, using a least squares support vector machine model to perform real-time data analysis during the local repair construction process, performing live debugging and comprehensive evaluation on the reconstructed local line to judge whether the reconstruction effect meets the construction standard of the self-healing intelligent power line, using a knowledge graph-driven long-short-term memory network model to predict and infer equipment health status and fault risk, automatically generating state maintenance and fault repair strategies, and realizing self-healing operation of the local line.

The invention discloses an urban power distribution network medium-voltage line planning method and system considering distributed photovoltaic consumption, a storage medium and equipment, and relates to the technical field of power distribution network lines, and the method comprises the steps: S1, a partitioning method based on partition autonomy: dividing a plurality of groups of transformer substation power supply range schemes, and generating a candidate branch set based on a KNN neighbor method; s2, constructing a model: constructing a distributed photovoltaic line planning model based on Linear-Disflow, considering the problems of voltage out-of-limit and line weight and overload caused by distributed photovoltaic access in the model, and directly solving through a Cplex / Gurobi commercial solver; and S3, solving: based on the multiple groups of power supply range schemes generated in the S1, solving the candidate branch set through the model in the S2 to obtain a result, and selecting an optimal scheme according to the result. Through the partition autonomous division method and the candidate branch set generation algorithm based on the KNN neighbor algorithm, the solution efficiency of power distribution network line planning can be effectively improved on the premise of hardly influencing the planning precision.

The invention relates to the technical field of line planning management, in particular to a buried cable line planning method based on the AR technology. The method comprises the following steps: acquiring underground terrain three-dimensional data and underground facility pipeline distribution data corresponding to a buried cable planning area, performing three-dimensional digital modeling, and displaying the data on AR mobile equipment in an overlapping manner; obtaining a corresponding buried cable virtual layout line through AR mobile equipment, carrying out line underground pipeline cross constraint analysis and underground line interference evaluation analysis, and carrying out constraint line feedback adjustment design on the buried cable virtual layout line to generate a buried cable line constraint feedback adjustment design scheme; and according to the buried cable line constraint feedback adjustment design scheme, carrying out line feedback optimization planning processing on the buried cable virtual laying line to generate a buried cable laying optimization planning line. According to the invention, an efficient, accurate and intelligent route planning management process can be realized.

The embodiment of the invention provides a multi-node network proxy system and method, electronic equipment and a storage medium, and relates to the technical field of network communication. The system comprises a plurality of entry hosts used for being connected with any proxy node; the agent nodes comprise a plurality of agent nodes of a public network and a plurality of agent nodes of at least one internal network, and are used for storing state information of adjacent nodes and generating a connection information table, so that an entrance host connected with the agent nodes performs line planning according to the connection information table. A plurality of entrance hosts are adopted to access an internal network and a network at the same time, automatic route planning is achieved according to a network topological graph, flexibility is enhanced, and the problem that an existing method cannot automatically plan a route is solved.

The present invention discloses a micro-circulation bus route planning method based on functional area classification, including five steps: identifying the functional area to which the planning area belongs, determining the micro-circulation bus route mode, determining the micro-circulation bus candidate site set, constructing a micro-circulation bus multi-objective planning model, and solving the micro-circulation bus route layout plan in the planning area. The present invention solves the micro-circulation bus multi-objective planning model with the goal of maximizing the passenger flow density of the micro-circulation bus route and minimizing the passenger travel cost, and uses the NSGA-II algorithm to solve and obtain the most suitable micro-circulation bus route plan in the planning area.

The application discloses a sorting control method and device for chip testing, and relates to the technical field of article sorting, and comprises the following steps: setting a carrier for chip testing; placing a plurality of to-be-tested chips on a plurality of test sites on the carrier, the pins of each to-be-tested chip comprising a scan register and a test access port; connecting a chip testing system, reading a test script corresponding to the plurality of to-be-tested chips; controlling a boundary scan tester to perform boundary scan testing according to the test script, and outputting chip response data; analyzing the chip response data, identifying abnormal chips and test sites of the abnormal chips, and controlling a sorting mechanism to perform abnormal sorting according to the test sites of the abnormal chips. The application solves the technical problems that the existing technology has slow sorting speed, unreasonable sorting line planning, and insufficient combination degree of chip testing and sorting control, and achieves the technical effects of improving the sorting speed, reasonably planning the sorting line, and improving the combination degree of chip testing and sorting control.

The embodiment of the invention belongs to the technical field of electric power engineering, and particularly relates to a current collection line path planning method, device and equipment, a medium and a product. The method comprises the following steps of: identifying a sensitive area crossed by a starting fan and a target fan through a connecting line path of the starting fan and the target fan, determining an obstacle avoidance anchor point capable of bypassing the sensitive area according to a spatial relationship between a vertex of the area and the path, generating a primary obstacle avoidance path based on the obstacle avoidance anchor point, and identifying a sensitive area possibly crossed by the path again; and then, for each newly traversed sensitive area, a local optimization anchor point bypassing the area is determined, an optimized new path section is generated by inserting the local optimization anchor point into the path, and then the process is executed circularly until a global obstacle avoidance path which completely avoids all the sensitive areas and is close to the optimal in total length is formed. According to the method, automatic and accurate planning of the line path under the complex geographical constraint is realized, and the economical efficiency and the engineering implementability of the current collection line planning are remarkably improved.

An embodiment of the present invention discloses a line planning simulation system and method for a power distribution system, wherein the line planning simulation system includes a data acquisition module, a power load prediction module, a main path simulation laying module, and a wire type determination module; the data acquisition module is used to obtain the user distribution in the area to be planned, the historical power load data of each user in the area to be planned, the population growth rate of the area to be planned, and the economic growth rate of the area to be planned; the main path simulation laying module is used to determine the main path of the distribution line corresponding to the area to be planned based on the user distribution in the area to be planned and the historical power load data of each user in the area to be planned, and simulate the laying along the main path; the power load prediction module is used to determine the predicted power load data of the area to be planned within the target safe working period; the wire type determination module is used to determine the type of laying wire corresponding to the main path based on at least the predicted power load data.

The utility model discloses a kind of lighting devices, including shell and the LED component, drive component and electric connection component being set in shell, the LED component and the electric connection component are respectively with the drive component electric connection;The electric connection component is used to realize the electric connection between lighting device and soft light band and adjacent lighting device;The rear side of the shell is provided with adhesive part, and the adhesive part is used to realize the adhesive installation between lighting device and wall surface;The lighting device disclosed in the present application, by the adhesive part of the rear side of shell, realize the installation mode of no socket occupancy, without pre-buried bottom box;Compared with the plug-in type foot lamp of traditional socket position occupancy and the 86 type base foot needing pre-buried line, solve the socket resource conflict problem, also avoid the rigid constraint of line planning in the initial stage of decoration, reduce the complexity and cost in the process of decoration, improve overall use experience and economic benefits.

The present invention discloses an auxiliary road line selection method based on real-scene image expression, which includes the following steps: collating data; publishing services through a platform; loading services on a real-scene three-dimensional visualization platform; presenting a preliminary line; calculating nodes where line planning control lines intersect; analyzing bridges, tunnels and ground-based construction conditions of the line; enhancing the display of bridges and tunnels; building a vehicle model to present the operation of the vehicle model on the line; calculating the length of each bridge and tunnel, and the earthwork volume of tunnel digging. The present invention utilizes real-scene three-dimensional technology to integrate and convert basic geographic information data into a real-scene three-dimensional visualization platform, and performs road line selection based on real-scene three-dimensional data, which can determine the intersection of the line with the planning control line and the construction of bridges and tunnels, and intuitively presents it in the form of real-scene images, assists in determining the road line selection plan, and can effectively solve the problems of non-intuitive road line selection and poor visualization effect, thereby improving the efficiency of road line selection planning.

The invention relates to the technical field of feeding route planning, in particular to an AGV feeding route planning method and system. During application, after a feeding instruction is obtained, a corresponding feeding sequence and a reference route are generated, the AGV advances along the reference route to recognize whether a front production machine belongs to the feeding sequence or not, and if yes, the AGV is marked as a to-be-fed machine. When the AGV carries out feeding, the to-be-fed machine table generates an arc-shaped correction track to replace a section of reference route in front, so that other AGVs which do not carry out feeding on the machine table adopt the shortest arc-shaped track which is easy to carry out to bypass the to-be-fed machine table, and enough operation space is provided for feeding work and return travel. And returning to the reference route of the AGV along the shortest distance after the AGV finishes feeding. The whole feeding process is highly automatic, the arc-shaped correction track can be automatically generated to provide redundant space, the two-dimensional code is updated after feeding is completed for a certain period of time, the arc-shaped correction track is automatically eliminated, and the manual scheduling cost is reduced.

The invention relates to the field of traffic planning route optimization, and discloses a traffic route space and passenger flow pattern optimization method and system, and a storage medium. The traffic line space and passenger flow directional diagram optimization method comprises the following steps: acquiring a station position and section passenger flow information of a traffic line in a target area, and generating a space direction division method; reconstructing the traffic line based on the section passenger flow information to obtain a reconstructed line diagram; forming sub-lines by adjacent stations in the reconstructed line diagram, and translating starting points of the sub-lines to the same position to obtain a space directional diagram and a passenger flow directional diagram; according to a space direction division method, respectively grouping the space directional diagram and the passenger flow directional diagram; and calculating the grouped space directional diagram and passenger flow directional diagram based on a preset method to obtain a space directional value and a passenger flow directional value. According to the method, the traffic line space direction and the passenger flow direction can be quantitatively described, the integrity of current traffic description in the region is improved, and subsequent traffic line planning and prediction are served and supported.

The invention relates to a logistics line processing method, computer equipment, a storage medium and a program product. The method comprises the following steps: acquiring input route planning information of each logistics route in a target time period planned for a target area; respectively inputting the route planning information of each logistics route into a pre-trained logistics transportation time length prediction model to obtain the predicted transportation time length of each logistics route; according to the route planning information of each logistics route and the predicted transportation duration of each logistics route, determining a multi-dimensional route planning result index of the target area in the target time period; and displaying the transportation duration of each logistics line and the multi-dimensional line planning result index for logistics line adjustment. By adopting the method, the accuracy of logistics route planning can be improved.