34results about How to "Improve planning ability" patented technology

The invention provides a taxi guiding and dispatching system, which belongs to the field of taxi dispatching system. The taxi guiding and dispatching system provided by the invention comprises a vehicle-mounted terminal, a passenger terminal and a server, and is characterized in that: the vehicle-mounted terminal, the passenger terminal and the server communicate with one another through a network; and the server collects online information of the passenger terminal and the vehicle-mounted terminal, establishes and maintains a supply-demand link relation between taxis and passengers through an intelligent dispatching mechanism, sends travel information of a dispatched taxi to the passenger terminal according to the supply-demand link relation, and sends passenger requirement information dispatched to the vehicle-mounted terminal and an optimal driving route planned for the same to the vehicle-mounted terminal. The taxi guiding and dispatching system can recommend the optimal driving route, improves operating efficiency, reduces operating cost, protects the environment, minimizes the participation of the driver in the whole link so that the driver can concentrate on driving, ensures the safe driving of the driver, reports passenger travel information in real time, and has a certain predictability in passenger riding arrangement.

The invention discloses an artificial intelligence operation method and device applied to games; the method comprises the following steps: receiving status information sent by a client end, wherein the status information is used for indicating present game status of the client end; using a built model to obtain motion indication information, wherein the motion indication information is used for indicating the next motion of the present game status, the model is obtained by training a plurality of motion combinations in the client end, and each motion combination comprises a plurality of motions executed in sequence; sending the motion indication information to the client end. The method and device can solve the technical problems that an artificial intelligence operation algorithm in the prior art is poor in game operation strategy programming capability.

The invention discloses a method and a device for achieving test. The method comprises receiving a test signal and the planning parameters of an IP supporting network of internet protocol; initiating a test service on the IP supporting network according to the test signal the planning parameters of the IP supporting network; and acquiring the performance indicators of the IP supporting network according the operation condition of the test service. The method and the device of the invention can integrate test function on the nodes of control network elements of the IP supporting network. According to the planning parameters of the IP supporting network, the test service is initiated on the IP supporting network, and the performance indicators of the IP supporting network is acquired according to the operation condition of the test service so as to accurately determine whether the IP supporting network satisfies the performance requirement of a communication network programming model, thereby improving the test accuracy and reliability.

The invention discloses a vehicle management system which is energy centric. The system may be configured to operate on a terrestrial vehicle, a nautical or on an aerial vehicle. It is configured to allow a user input a route comprising legs, each leg associated with an activity and an energy consumption mode. The system captures parameters from sensors or sensor emulators to compute a position of the vehicle and a predicted energy consumption per leg. The system comprises a display unit which associates graphically the activities, their energy consumptions and their duration. It allows the user to simulate what-if scenarios, to continuously visualize the impact of modifications of some of the parameters of energy consumption on an energy / time / range budget. The invention discloses a vehicle energy management system wherein the simulation capability is configured to display the time spent on each activity in a scale which is commensurate to the energy consumption. The invention also discloses a vehicle energy management system wherein estimated variables which impact the energy consumption may be acquired by the system to validate the conditions under which the mission performed by the vehicle will be feasible. The invention may be adapted to other applications than vehicle energy management like project planning and electronic devices energy management, among other result oriented / resource constrained activities.

The invention discloses a method for performing network relationship discovery and automatically realizing layered TOPO display by means of LLDP. The method comprises the following steps of 1), configuring busy time and idle time for discovered equipment; 2) selecting the idle time, and starting LLDP enabling on the equipment; 3) acquiring neighboring information on each port which is discovered on the equipment; 4) performing LLDP disenabling on the equipment for ensuring high-efficiency operation of the equipment; 5) performing duplicate elimination and combination on connecting relations on ports of the equipment, obtaining connecting relation among the equipment and the duplicate number of connections, generating a logical relation among the equipment; and 6) traversing and analyzing the whole logical TOPO, automatically combining the independent parts, thereby displaying a network structure in a layered manner. The method of the invention has advantages of automatically finding equipment and connecting relationship and automatically performing TOPO presentation in the layered manner; selecting the idle time of the equipment for performing automatic discovery operation, utilizing equipment in maximal efficiency, quickly finding network design problems, improving network planning capability, and supplying a reasonable plan for capacity expanding and upgrading.

The invention provides an intelligent route recommendation method and system based on global historical ship tracks, and the method comprises the steps: firstly collecting AIS data, carrying out the preprocessing of the collected AIS data, obtaining ports and key nodes based on the preprocessed AIS data, constructing network nodes, dividing segments generated in the preprocessing process according to key nodes to obtain node segments, calculating the node segments based on a kernel density estimation method to obtain recommended segments, and taking the navigation distance of the recommended segments as the weight of the edge between the starting node and the ending node of the recommended segments to construct the route network; and finally, based on the constructed route network, performing calculating through a recommendation or prediction algorithm to obtain an optimal route path, and displaying a calculation result of the optimal route path to a user. According to the method and system, the global route segment network is constructed and stored by utilizing the high-quality route data screened after massive AIS data is processed, so that the planning capability of a dynamic route can be effectively improved, and a more diversified route query function is provided.

The invention relates to a fire-fighting reconnaissance robot path generating method and device, computer equipment and a storage medium. The method comprises the steps that the front path is detectedthrough an ultrasonic radar on the front side of a chassis, information of a barrier in front of the fire-fighting reconnaissance robot is obtained, if the information of the barrier in front of thefire-fighting reconnaissance robot meets a steering triggering model, the steering state of the fire-fighting reconnaissance robot is triggered, in the steering state, left barrier information detected by an ultrasonic radar on the left side of the chassis and right barrier information detected by an ultrasonic radar on the right side of the chassis are received, the turning direction of the fire-fighting reconnaissance robot is determined according to the left barrier information and the right barrier information, and a turning path of the fire-fighting reconnaissance robot is generated according to the turning direction. By adopting the method, the robot can effectively avoid the barriers on the advancing path, and the cruising efficiency of the fire-fighting reconnaissance robot in thefire scene environment is improved.

The invention discloses an automatic dividing method of a city plot ratio, which comprises the following steps: utilizing an information-processing system taking a high performance computer as a core, taking geography data of a city downtown as model input data, taking city blocks as model process evaluation base maps, building a city plot ratio evaluation model, carrying out standardized revise through a Saaty method, determining the plot ratio numerical value of each block, and automatically outputting engineering drawings that can be directly used in the city overall planning through drawing equipment. The method overcomes the insufficiency that the subjectivity and the randomness exist when the city plot ratio division is carried out by utilizing the human brain intellectual activity to make a decision in a city construction project, and greatly improves the working efficiency.

The invention relates to a probability analysis method for distributed generation planning based on area grey relational decision. The method is characterized in that a problem of conflicts of analysis on the same node caused by utilizing different methods to analyze sensitivity of a distribution network node is solved. The method is advantaged in that planning efficiency and the planning effect of the distributed generation of the distribution network can be effectively improved, influence of access of a high-sensitivity node to the distributed generation having output fluctuation characteristics on stability of the distribution network system can be effectively analyzed, and the method is scientific and reasonable, has strong applicability and good effect, can improve intelligent planning efficiency of the distribution network and balances the DC optimal mounting position.

The invention relates to a construction method of an oil content index model for predicting the oil content of a reservoir and a prediction method of the oil content of the reservoir, and belongs to the field of prediction of the oil content of the reservoir. The method comprises the following steps: 1) according to historical drilling data in a research area, acquiring logging parameters and initial oil production data which change along with depth; 2) assigning values to the qualitative parameters, and digitizing the qualitative parameters; 3) performing normalization processing on the digitized qualitative parameters and the digitized quantitative parameters; 4) setting initial weights of qualitative parameters and quantitative parameters, and calculating an oil content index; 5) fitting the preliminarily calculated oil content index with the initial oil yield, and determining a correlation coefficient; adjusting the weight of each logging parameter according to the correlation coefficient. According to the method, the sensitivity of different descriptive parameters to oil and gas is fully considered, the accuracy of oil content evaluation is improved, and effective data supportcan be provided for subsequent yield prediction and reservoir reconstruction.

The invention provides a big data-based academic vocational planning system, which comprises an academic planning module and a career planning module, and the academic planning module comprises a course setting module, a postgraduate entrance exam taking and planning module and an employment planning module, and the course setting module displays course key points and a course question bank; thepostgraduate entrance exam taking and planning module displays postgraduate entrance exam taking and planning contents, and displays postgraduate entrance exam taking related directions and subjectsrequired to be prepared of various colleges and universities; the employment planning module displays enterprise recruitment information and recruitment requirements; the career planning module comprises an intention display module, a comparison analysis module, a comprehensive analysis module and a development status module; the comparison analysis module is used for solving the degree that the job meets the requirement of the job seeker by adopting a corresponding algorithm according to the working attribute information input by the user; the comprehensive analysis module is used for solvingthe degree of the job seeker meeting the job requirement by adopting a corresponding algorithm according to the personal attribute information input by the user; and the development state module analyzes the position development prospect of the position according to the position salary level in recent years.

The present invention provides a robot arc trajectory planning method based on a sinusoidal curve, which includes the following steps: S1: select three position points and obtain the pose of the position points; S2: obtain the interpolation circle passing through the three position points The plane, the coordinates of the center of the circle and the radius; S3: establish the arc coordinate system; S4: set the current interpolation step k and the total interpolation step m of the arc trajectory, and set k=0; S5: calculate based on the sine curve The pose and velocity of the end effector of the robot during interpolation in the kth step; S6: Calculate the angular velocity of the robot joint; S7: Calculate the angle of the robot joint; S8: Determine whether k is equal to m; if not, set k+ Give k a value of 1, and return to step S5; if it is equal, then end the iteration and complete the planning of the arc trajectory. The invention provides a robot arc trajectory planning method based on a sinusoidal curve, which solves the problem that the change of the joint angle of the robot is mostly not considered when planning the trajectory of the robot at present.

The invention discloses an unmanned aerial vehicle adaptive repulsion coefficient path planning method based on deep learning. The method comprises the following steps: firstly, finding out a most suitable repulsion coefficient sample set in a specific environment through a fusion genetic algorithm and an artificial potential field method; secondly, training a residual neural network by using the sample set; and finally, a repulsive force coefficient adapting to the environment is calculated through the residual neural network, and path planning is performed by using an artificial potential field method. The problems that a traditional artificial potential field method cannot adjust the repulsive force coefficient according to specific environment information, and an existing improvement method cannot give consideration to the planning effect and the planning duration while adaptively adjusting the repulsive force coefficient are solved. Simulation experiments show that the method has excellent performance in the aspects of planning effect and planning duration, and can well meet the self-adaption requirement and the rapid planning requirement for the current environment in practical application.

A method for realizing a test is provided. The method includes receiving a test signaling and a planning parameter of an internet protocol, IP, bearer network; initiating a test service on the IP bearer network according to the test signaling and the planning parameter of the IP bearer network; and obtaining a performance indicator of the IP bearer network according to the running situation of the test service. An apparatus for realizing a test is also provided. The testing functionality may be integrated in a control network element node of the IP bearer network, without connecting to any test device. Thus, the test performance is not limited to or affected by the performance of the test device. A test service is initiated on the IP bearer network according to the planning parameter of the IP bearer network; and a performance indicator of the IP bearer network is obtained according to a running situation of the test service. According to the performance indicator, it is determined whether the current IP bearer network satisfies the performance requirements of the communication network planning model. Thus, the planning capability of the communication network is enhanced, and the test accuracy and the test reliability are improved.

The invention discloses a multi-welding robot path optimization method and system based on a B-APF, and provides a B-APF algorithm. The multi-welding robot path optimization method comprises the steps that: a sensing area of a welding robot is introduced on the basis of a BOID model principle, and when a robot falling into a local minimum value point exists in multiple robots, the robot is stagnated, and meanwhile position coordinates of other robots are sensed; when other robots arrive at the target point, a path of the other robots closest to the stagnant robot is searched, and the closest point is selected as a virtual target point of the stagnant robot; after the stagnant robot reaches the virtual target point, the target point of the stagnant robot is changed back to an initial target point of the stagnant robot; and meanwhile, the B-APF algorithm is adopted to perform formation structure control optimization when the multiple welding robots work cooperatively, so that the overall path planning effect is improved. According to the multi-welding robot path optimization method, the multiple welding robots can better cooperatively weld large precise complex parts in the ship construction project, and optimal path optimization of the multiple welding robots in cooperative work can be obtained.

The invention discloses a path planning method for unmanned vehicles based on a three-layer architecture, which includes the following steps: step 1: building a map, abstracting and mathematically describing the road in the application scene, expressing and storing the road; step 2 : Application, use the road network map that has been built in this specific scene, and realize the planned route on the road network map according to the task requirements. The beneficial effects of the present invention are as follows: (1) The global path planning and the local path planning are taken into consideration by using the three-layer architecture, so that the two are closely connected with the physical platform, and more useful information is provided for the road local path planning, which improves the Planning performance; the third layer of planning execution layer introduces an improved A-star search method based on guidelines, using guidelines and key points, which not only preserves the expected local planning path as much as possible, but also maintains the characteristics of flexible obstacle avoidance.

The invention relates to the technical field of artificial intelligence, and provides a road network generation method, a navigation method and device, computer equipment and a storage medium. A roadnetwork can be intelligently generated according to a passing area for passing of a passing object in the area; a plurality of coverage units are arranged by fully utilizing the space of the passing area, so that a coverage area formed by the plurality of coverage units on the passing area is maximized, the road network of the area is generated based on the geometric centers of the plurality of coverage units enabling the coverage areas to be maximized, the coverage degree of the road network is improved, a more accurate navigation route can be generated by fully utilizing the space of the passing area based on the road network with high coverage degree, and the planning effect of the road network is improved.

The invention provides a robot circular arc trajectory planning method based on a sine curve. The method comprises the following steps that S1, three position points are selected, and poses of the position points are obtained; S2, solving is carried out to obtain a plane, a circle center coordinate and a radius of an interpolation circle passing through the three position points; S3, a circular arc coordinate system is established; S4, the current interpolation step number k and the total interpolation step number m of a circular arc trajectory are set, and the k is enabled to be equal to 0; S5, the pose component velocity of a robot end effector during the kth interpolation is calculated based on the sine curve; S6, the angular velocities of joints of a robot are calculated; S7, the angles of the joints of the robot are calculated; S8, whether the k is equal to the m or not is judged; if not, the k is endowed with the value of k+1, and the step S5 is returned and if yes, iteration isended, and planning of the circular arc trajectory is completed. The robot circular arc trajectory planning method based on the sine curve solves the problem that the joint angle change of the robot is mostly not considered when the motion trajectory of the robot is planned at present.

The embodiment of the invention discloses a method and device for acquiring a motion route and a storage medium. The method includes the steps of determining motion association data corresponding to an outdoor motion request when an outdoor motion request of a user is received, wherein the motion association data includes at least one piece of travel data, social activity data and consumption dataof the user within a specified time period; determining the motion preference of the user according to the motion association data; determining the motion route of the user based on the motion preference, wherein the motion route is composed of at least one motion path.

The invention discloses a venue seat information planning method, device and system, and the method comprises the steps: receiving a seat planning request of a target venue, and determining the planning target parameter information of seat planning; determining planning input data of the target venue seat information and a planning method model used for seat planning; inputting the planning inputdata and the planning target parameter information into the planning method model; and determining a planning result that the planning method model plans the seat information of the target venue according to the planning target parameter information. Through the method, planning of venue seat information can be automatically and efficiently realized, the obtained planning result is more scientificand reasonable, the satisfaction degree of audiences is improved, and seat planning and activity expectation are better considered.

The invention discloses a path planning preprocessing data compression method. The method specifically comprises the following steps: 1, preprocessing a road network to obtain a navigation passing path data set R; step 2, setting an initial iteration path data set as the navigation passing path data set R, and setting an initial dictionary D as an empty dictionary; step 3, counting a binary navigation passage sub-path with the highest occurrence frequency, setting the occurrence frequency as N, and judging whether the N is greater than 1 or not; step 4, if the N is greater than 1, defining the binary navigation passage sub-path as a virtual road section, and adding the virtual road section into the dictionary; step 5, performing replacing by using the newly added virtual road section; step 6, updating an iteration condition, and returning to the step 3 to continue the iteration; step 7, stopping the iteration when the N is equal to 1, and storing data in a binary form to complete data compression. According to the method of the invention, space occupation of preprocessed data can be reduced, so that the method is suitable for mobile computing equipment with limited storage space, and the path planning performance of the equipment is improved.

The invention relates to the technical field of multifunctional mounting brackets for security cameras, in particular to a multifunctional mounting bracket for a security camera. A limiting clamping groove is formed in the middle end of a fixed base in a penetrating mode, and a limiting clamping plate is arranged in the limiting clamping groove. Through the arrangement of an adjusting slide rail and a positioning slide block, the security cameras can be adjusted in transverse distance, so that the mounting bracket can be mounted for the security cameras with different distances, and meanwhile,wiring harnesses of the security cameras can be planned and arranged, so that the overall planarity of the security cameras is improved; and through the arrangement of the overall structure, the safety of the root of the security camera can be guaranteed, and when the security camera is disturbed by external factors and shakes, the internal structure of the mounting bracket can gradually unload force for the swinging radian of the security camera so as to stabilize the security camera.

The invention discloses a convenient-to-use fiber exchange box for communication engineering. The convenient-to-use fiber exchange box structurally comprises a box body; the box body is provided withventilation plates, a top plate, a base plate, a separation plate, a first box door, a second box door, a third box door and a fourth box door; the ventilation plates are fixedly connected to the leftside and right side of the box body; the top plate is fixedly connected to the top of the box body; the base plate is fixedly connected at the bottom of the box body; the separation plate is fixedlyconnected with the middle of the box body; the first box door is movably connected at the left side of the box body; the second box door is movably connected at the upper right part of the box body; the third box door is movably connected at the middle of the right side of the box body; and the fourth box door is movably connected at the lower right part of the box body. With the convenient-to-usefiber exchange box for communication engineering of the invention adopted, outside dust can be effectively prevented from entering the exchange box; rain water in heavy rain weather can be preventedfrom entering the exchange box; and the stability of components inside the exchange box in a use process can be improved.

According to the multi-satellite joint planning method and system considering task splitting provided by the invention, the task planning model is constructed. The model covers planning of detachable observation tasks and non-detachable observation tasks at the same time, a staged algorithm for planning of the non-detachable observation tasks and planning of the detachable observation tasks is designed, and various constraint conditions from satellite resource capacity level, task timeliness requirements and the like are fully considered. A large number of numerical experiments prove that through task splitting, the possibility of cooperation among multiple satellites is provided, the task completion rate is increased, multi-satellite joint observation benefits are obviously increased, and finally the observation efficiency of the satellites is greatly improved.

The invention discloses a path planning preprocessing data compression method. The specific steps are as follows: step 1, preprocessing the road network to obtain a navigation path data set R; step 2, setting the initial iterative path data set as the navigation path Data set R, the initial dictionary D is an empty dictionary; step 3, count the binary navigation sub-paths with the most occurrences, and set the number of occurrences to be N , to determine whether N is greater than 1; Step 4, if N is greater than 1, define the binary navigation sub-path as a virtual road segment and add it to the dictionary; Step 5, replace it with the newly added virtual road segment; Step 6, update the iteration condition, return Step 3 continues to iterate; Step 7, stop iteration when N is equal to 1, and save data in binary form to complete data compression. The method of the invention reduces the space occupation of preprocessing data, is suitable for mobile computing devices with relatively limited storage space, and improves the path planning performance of such devices.

The invention relates to the technical field of artificial intelligence, and provides a road network generation method, a navigation method and device, computer equipment and a storage medium. A roadnetwork can be intelligently generated according to a passing area for passing of a passing object in the area; a plurality of coverage units are arranged by fully utilizing the space of the passing area, so that a coverage area formed by the plurality of coverage units on the passing area is maximized, the road network of the area is generated based on the geometric centers of the plurality of coverage units enabling the coverage areas to be maximized, the coverage degree of the road network is improved, a more accurate navigation route can be generated by fully utilizing the space of the passing area based on the road network with high coverage degree, and the planning effect of the road network is improved.

The embodiment of the present invention discloses a method and device for obtaining a sports route, and a storage medium. The method includes: when receiving a user's outdoor sports request, determining the sports-related data corresponding to the outdoor sports request; wherein the sports-related data includes at least One of the following: the user's itinerary data, social data and consumption data within a specified period of time; determine the user's exercise preference according to the exercise-related data; determine the user's exercise route based on the exercise preference, and the exercise route consists of at least one segment of the exercise path.