106results about How to "Reduce travel time" patented technology

The invention provides a garbage clearance scheduling method, which comprises the following steps of S1, installing a sensor on a garbage can in a city for monitoring the overflow degree condition of the garbage can in real time; s2, collecting spill degree data of the garbage cans, and visualizing the spill degree data; s3, according to the collected spill degree data, the number of spill garbage cans is counted; s4, garbage can distribution areas are divided, a threshold value of the number of the overflowed garbage cans is set, the number of the overflowed garbage cans in each area is compared with the threshold value of the number of the overflowed garbage cans, and the priority of the garbage collection and transportation areas is determined; s5, the garbage cans with the garbage overflow degree reaching or exceeding the threshold value in each area are set as a node, and the optimal clearing and transporting path in each area is planned; and S6, according to the obtained garbage clearance priority, performing clearance on each area in sequence, thereby not only improving the clearance efficiency and reducing the operation cost, but also better adapting to the actual demand of urban garbage clearance by dynamically adjusting the clearance plan.

The invention relates to the technical field of tractor path planning, in particular to an intelligent tractor path planning system based on dynamic environment perception, which comprises a data acquisition module, a data processing module and an adjustment module. By introducing a risk grid marking mechanism and a path evasion algorithm, the system can sense and analyze various factors in a dynamic environment in real time, such as unfavorable conditions of rainfall, ground depression, water accumulation and the like, so that the driving path of the tractor is flexibly adjusted, and the system is particularly suitable for path planning requirements in complex terrains or severe weather; the system not only can automatically generate an optimal avoidance path, but also can monitor the change of the length of the traction path in real time through a path correction function, and dynamically adjust the grid spacing, thereby ensuring the continuity and accuracy of path planning, and improving the path planning efficiency. The problems of inaccurate path planning and low efficiency caused by high delay of processing real-time environment information and poor adaptive capacity are effectively solved.

The invention discloses an intelligent automobile path tracking system for urgent danger avoidance, and particularly relates to the technical field of intelligent automobiles, the system comprises an environment sensing module, the output end of the environment sensing module is connected with a danger assessment module, and the output end of the danger assessment module is connected with a path planning module. The output end of the path planning module is connected with a decision planning module, the output end of the decision planning module is connected with a vehicle control module, and the output end of the vehicle control module is connected with a communication and interaction module. Through cooperative work of all the modules, perception of the surrounding environment of the vehicle, danger assessment, path planning, decision making, vehicle control and communication interaction with the outside are achieved, under the dangerous condition, the system can make a response rapidly, effective danger avoiding measures are taken, the driving safety of the vehicle and the accuracy of path tracking are ensured, and the driving safety of the vehicle is improved. And a comprehensive and reliable guarantee is provided for safe driving of the intelligent automobile.

The invention discloses a logistical support management system and method based on digital twinning, relates to the technical field of logistical support management, and solves the technical problems that in the prior art, flood disaster conditions cannot be simulated and predicted in advance, so that no enough time is provided for planning rescue measures, and the rescue efficiency is low. The method comprises the following steps: establishing a digital twinborn model of a target area; simulating the weather condition of the target area according to the meteorological data and the digital twinborn model; dividing the target area into a plurality of sub-areas with the same personnel density, acquiring environment information of the sub-areas, and evaluating flood disaster levels of the sub-areas; the rescue center collects and updates personnel information of the target area in real time; evaluating the rescue emergency level of the sub-region based on the flood disaster level and the personnel information; planning an optimal rescue path according to the rescue emergency level of the sub-region and the terrain; influences of flood disasters are effectively estimated, efficient rescue is achieved, and losses caused by natural disasters are reduced.

The invention relates to the technical field of distribution management, in particular to an optimization method formed through secondary feedback of a rider, and the method comprises the steps: S1, building a networking platform, and collecting various information of the rider in real time; s2, a feedback mechanism is established, and a rider feeds back important information encountered in the distribution process in real time; s3, collecting the work data of the rider, and generating a personalized work capability evaluation model; s4, the networked map software collects road information, and establishes a route prediction mechanism in combination with feedback data and historical data; s5, monitoring distribution information of the rider in real time, and providing a processing scheme in case of an emergency; and S6, obtaining distribution information, and learning and optimizing an evaluation model and route planning of the rider. The method is beneficial for greatly improving the flexibility and response speed of the platform to cope with emergencies, ensuring dynamic optimization of the distribution plan of the rider, improving the consumer experience, enhancing the participation sense of the rider, and improving the working enthusiasm and initiative of the rider.

The invention discloses a path planning method and system for a road maintenance vehicle, and relates to the technical field of artificial intelligence, and the method comprises the steps: collecting the multi-modal data of the road maintenance vehicle through a sensor and a 5g network, uploading the multi-modal data to a cloud data center, and carrying out the multi-modal data fusion; based on the fused multi-modal data, quickly calculating an optimal path set by using a quantum optimization algorithm; executing the maintenance task; for the road maintenance vehicle executing the task on the road, the cloud data center continuously receives feedback data; after the task is completed, the cloud data center gathers the operation data of the road maintenance vehicle and carries out deep analysis. The multi-modal sensor and the 5G technology are integrated, the environment is monitored in real time, the optimal path is calculated and dynamically adjusted through quantum optimization and the CADPOA algorithm, tasks are automatically executed, path planning is continuously optimized through a feedback mechanism, continuous and efficient maintenance work is achieved, and continuity and high quality of the maintenance work are guaranteed.

The invention provides a smart city parking guidance system and method based on the Internet of Things, and the method comprises the steps: constructing the road network association information between parking regions, and determining the availability index of each parking region through combining all the road network association information with the occupation characteristics of parking spaces in a target parking lot in a parking peak period; planning a confidence driving route of the user vehicle according to the current position of the user vehicle, the change trend between the short-time change characteristics of the parking space occupation of each parking zone and the availability index of each parking zone; when the user vehicle arrives at a target parking zone calibrated by the confidence driving route, determining a target unoccupied parking space of the user vehicle based on the spatial distribution characteristics of each unoccupied parking space in the target parking zone and the attribute difference relationship between the unoccupied parking spaces; and the Internet of Things control center sends the target unoccupied parking space information to a vehicle-mounted navigation system of the user vehicle. According to the scheme, confidence guidance of the user vehicle is realized, and the accuracy of parking guidance is further improved.

The invention relates to the technical field of path planning, and discloses a trajectory path planning system for automation equipment, which is characterized in that map data is acquired through a map establishment module, and is processed and analyzed to establish a map model; the path planning module generates a path planning strategy based on the map model, the equipment initial position and the supply point; the motion control module generates a motion control instruction according to the result of the path planning strategy to control the automation equipment; the safety monitoring module continuously monitors the terrain environment, obstacles and equipment states, and evaluates the safety of the motion control instruction in real time; and when the motion control instruction is not safe, the dynamic adjustment module generates a correction signal and adjusts the motion control instruction, so that autonomous positioning, path planning, safe navigation and dynamic adjustment of the automation equipment in a complex environment are realized, the operation efficiency of the automation equipment is improved, the operation safety is guaranteed, and the adaptive capacity of the automation equipment is improved.

The invention discloses a navigation method and system of an autonomous mobile robot in a dense people stream environment. The method comprises the following steps: acquiring environmental data by using a sensor system on the robot; recognizing pedestrians, obstacles and ground states based on the collected data to obtain real-time sensing information; judging whether the environment is a dense people flow environment according to the real-time sensing information, if not, executing a normal navigation mode, and if yes, executing a people flow passing mode. The people flow passing mode comprises the following steps: dynamically planning a passing path according to a preset global path and real-time sensing information; judging whether the running direction of a pedestrian is consistent with the passing path direction or not, selecting a matched pedestrian as a following object, and keeping a safe distance; and if no matched pedestrian exists, the passing possibility is evaluated, and when the possibility is higher than a preset threshold value, the robot is controlled to perform real-time passing action. Through data fusion, dynamic path planning and an intelligent following strategy, the navigation efficiency, the success rate and the safety of the robot in a dense people stream environment are improved.

The invention discloses an intelligent warehousing operation auxiliary system and method based on mixed reality, and relates to the technical field of warehousing management, and the system comprises a storage stack point pre-screening module, an intelligent task planning module, a task execution monitoring module, an abnormal task execution adjustment module, and an optimal carrying equipment screening module. According to the method, the optimal storage stack point can be screened, the utilization rate of the storage space is improved, cargo extrusion or space waste caused by space mismatching is avoided, the transportation efficiency is improved, the energy consumption is reduced, abnormal conditions can be found in time, and the reliability of task execution is guaranteed. When abnormity occurs, early warning can be triggered quickly, the replacement mode of the carrying equipment can be judged reasonably, continuity and high efficiency of warehousing operation are ensured, and the overall operation efficiency of the intelligent warehousing system, the goods storage quality and the scientificity of management decision are improved.

The invention belongs to the field of automatic driving automobiles, and particularly relates to an automatic driving automobile path and speed collaborative planning method and device, and the method comprises the steps: constructing a whole automobile dynamic model and a tire dynamic model, obtaining the dynamic stress limit of a tire, and taking the dynamic stress limit as the motion limit boundary of an automobile; a quasi-steady-state balance method is adopted, vehicle steady-state balance states under different accelerator opening degrees and system pressures are traversed, transverse acceleration and longitudinal acceleration at each moment are recorded, and an improved G-G graph is obtained through vector calculation; based on the obtained improved G-G graph, a forward-backward Euler method is adopted to establish an optimal speed model; establishing a trajectory optimization model under the shortest travel time by adopting a road segmentation method; and constructing an optimal path and speed collaborative planning model by adopting quadratic programming based on the road safety boundary and the vehicle dynamics constraint in combination with the optimal speed model and the trajectory optimization model, and solving to obtain an optimal path and speed plan.

The invention provides a vehicle-mounted detecting and guiding system during advancing, and belongs to the field of vehicle control. The problem that the vehicle auxiliary driving efficiency is low is solved. Specifically, the data acquisition module acquires driving data; the positioning correction module is used for carrying out primary analysis on the driving data and correcting the position of the vehicle; the driving assistance module carries out primary adjustment on the vehicle speed; analyzing the power oil consumption change of the vehicle according to the driving data, obtaining the remaining driving time of the vehicle to the destination, and carrying out secondary adjustment on the driving speed of the vehicle; the continuous adjustment module continuously obtains driving data and destination information of the vehicle and adjusts the positioning and driving speed of the vehicle; according to the invention, the positioning and speed of the vehicle are adjusted by acquiring, analyzing and processing related data of vehicle driving, so that the vehicle is stable in driving.

The invention provides a ship navigation performance optimization method and system considering uncertain variables, and the method comprises the steps: calculating ship oil consumption and ship energy efficiency operation indexes based on obtained ship operation parameters and port parameters, calculating an actual navigation speed value interval through employing a 3sigma criterion, taking the actual navigation speed value interval as a constraint condition, and carrying out the optimization of the ship navigation performance. Establishing a target function based on a preset weight coefficient, the ship oil consumption and the ship energy efficiency operation index; the method comprises the following steps: setting navigation intervals and weather intervals based on a time dimension, further calculating a weather array corresponding to each navigation interval by adopting a specific calculation method, and then setting an initial actual navigation speed of a certain navigation interval in an actual navigation speed value interval; and taking the initial actual navigational speed and the weather array corresponding to the navigation interval as the initial solution of the simulated annealing algorithm, and finally calculating the optimal navigational speed of each navigation interval by adopting the simulated annealing algorithm, thereby realizing the optimization of the ship navigation performance and effectively improving the ship navigation performance.

The invention relates to the technical field of garbage disposal, and discloses an unmanned garbage clearance truck and a clearance method thereof, and the clearance method comprises the following steps: step 1, task triggering and information collection; step 2, task allocation and path planning; 3, autonomous navigation and obstacle avoidance; step 4, garbage collection operation; step 5, transporting; and step 6, data recording. According to the method, an (E) environment sensing model is formed through comprehensive analysis of environment data including laser radar data, camera data and ultrasonic sensor data, so that a vehicle can be navigated in a complex environment, and a navigation path is automatically adjusted according to traffic conditions by utilizing big data analysis, a cloud computing technology and real-time traffic information; and through an intelligent recognition system and a machine vision technology, the position and posture of the mechanical arm are automatically adjusted during garbage collection, precise parking is achieved, and the beneficial effects of autonomous navigation and intelligent recognition of the recycling bin are achieved.

The invention discloses a traffic signal control method based on an edge roadside. The method comprises the following steps: acquiring the traffic flow of each intersection at the current moment; calculating the proportion of the traffic flow of each intersection to the total flow of the intersection to obtain first data; processing the first data through Logistic mapping, and predicting to obtain second data; calculating based on the second data to obtain a Jacobian matrix, and obtaining a Lyapunov index according to the Jacobian matrix; if the Lyapunov index is a positive number, the noise suppression intensity is adjusted based on the Lyapunov index, and a noise suppression factor is obtained; processing the first data based on the noise suppression factor to obtain denoised first data; the denoised first data is processed based on the chaos theory, the signal period and the green light time are dynamically adjusted, and then the pollutant emission amount is calculated; and adjusting the signal period and the green light time again based on the target pollutant discharge amount. According to the invention, the road passing efficiency and the vehicle passing rate are improved, and the parking time and the pollutant discharge amount are reduced.

The invention relates to the technical field of lane modeling, and discloses a VISSIM-based expressway virtual emergency lane modeling method, which comprises the following steps of: constructing an expressway driving rule of a virtual emergency lane; the emergency rescue time of the virtual emergency lane is divided, and the time before opening and the opening time of the virtual emergency lane are determined according to the divided emergency rescue time; constructing a virtual emergency lane control strategy model according to the pre-opening time and the opening time based on expressway driving rules; and determining the number of accident closed lanes, and dividing the virtual emergency lane control strategy model into a single-lane closed control strategy model, a double-lane closed control strategy model and a three-lane closed strategy control model according to the number of accident closed lanes. According to the method, the virtual emergency lanes are used under different traffic conditions, the effects are different, the virtual emergency lanes are started for emergency rescue, the pre-hospital rescue time can be shortened, and the accident rescue efficiency is improved.

The invention discloses an automatic driving system of a vehicle and an automatic driving method of the vehicle, and relates to the technical field of vehicles. The automatic driving system comprises a road condition prediction module, an energy efficiency optimization module and a safety guarantee module. The road condition prediction module is used for determining road condition prediction information according to the vehicle driving information, the vehicle driving information is used for indicating weather information and traffic information of each road section, and the road condition prediction information is used for predicting the road condition of each road section; the energy efficiency optimization module is used for determining a vehicle driving route and a vehicle driving mode according to the vehicle position information and the road condition prediction information; the safety guarantee module is used for adjusting an executing mechanism of the vehicle according to the vehicle environment information, and the vehicle is used for driving according to the adjusted executing mechanism and the vehicle driving route and the vehicle driving mode. The vehicle driving route and the vehicle driving mode are obtained by predicting the road condition, the unnecessary driving distance in the vehicle driving process is reduced, and the energy consumption is reduced.

The invention discloses a numerical control horizontal boring and milling machine and a using method thereof, and relates to the technical field of boring and milling machines. Comprising a lathe bed, a pair of fixed transverse shafts are arranged on the lathe bed, hollow worms are arranged on the fixed transverse shafts in a sleeving mode, and first sliding rails are arranged above the hollow worms; a fixing block is arranged between the pair of first sliding rails, a pair of first sliding plates are fixedly arranged on the fixing block, a pair of second sliding rails are fixedly arranged on the two sides of the pair of first sliding plates, a rectangular sliding frame is clamped between the pair of second sliding rails, and a translation plate is arranged above the rectangular sliding frame; an annular clamping rail is fixedly arranged on the translation plate, a fixed rotating ring is clamped in the annular clamping rail, a fixed plate is fixedly arranged on the fixed rotating ring, and a machined part is placed on the fixed plate. The translation path of the machined part can be reasonably arranged according to the machining process requirements, so that the cutter can move in a more efficient path in the machining process, the stroke time of the cutter can be shortened, the proportion of the cutting time in the whole machining period is increased, and therefore the overall machining efficiency is improved.

The invention discloses a toll station ramp control method and device based on artificial intelligence, and a medium, and the method comprises the steps: collecting a video stream and sensor data of a to-be-controlled road segment, and carrying out the pre-processing of the video stream to determine a key frame image; analyzing the key frame image in combination with sensor data, determining traffic data and traffic influence factor values corresponding to the to-be-controlled road section, and inputting the traffic data and the traffic influence factor values into a trained traffic flow prediction model to output a pre-estimated traffic condition corresponding to a preset time period; generating a recommended planning path corresponding to the driving vehicle based on the vehicle driving demand and the estimated traffic condition which are acquired in real time, and optimizing the estimated traffic condition based on the confirmation condition of the driving vehicle on the corresponding recommended planning path; and determining a congestion level corresponding to the optimized pre-estimated traffic condition, and determining a ramp management and control strategy corresponding to the congestion level based on a preset ramp management and control library so as to perform ramp management and control on the toll station according to the ramp management and control strategy.

The utility model provides a gear shifting speed reducer for fluid control equipment, which relates to the technical field of speed reducing mechanical equipment and comprises an outer shell, a first speed reducing cavity and a second speed reducing cavity are arranged in the outer shell, and a secondary sun gear, a secondary planet gear, a planet carrier, a primary sun gear, a primary planet gear and a first transmission gear are arranged in the first speed reducing cavity. A second input shaft is rotationally arranged in the second speed reduction cavity, the second input shaft is sleeved with a second transmission gear, and the second transmission gear is meshed with the outer teeth of the first transmission gear. The gear shifting speed reducer has the advantages that when the first input shaft of the gear shifting speed reducer works, the first transmission gear is fixed, and the planetary speed reduction structure in the first speed reduction cavity works; when the second input shaft works, the first transmission gear and the second transmission gear are in meshing transmission. The two input shafts of the gear shifting speed reducer work independently, so that the output shaft can output different rotating speeds and torques, the gear shifting process of the speed reducer is conveniently achieved, gear shifting is reliable, and efficiency is high.

The utility model discloses a stay bar type photovoltaic assembly penetrating conductive buckle, which belongs to the technical field of photovoltaic system grounding, and comprises two penetrating sheets which are rotatably connected and a connecting rod mechanism which is connected with the two penetrating sheets, the lower ends of the penetrating sheets are provided with penetrating parts, and the penetrating parts are connected with the connecting rod mechanism. And the penetrating parts at the lower ends of the two penetrating pieces are driven by the connecting rod mechanism to expand outwards and respectively pierce the coating films of the two adjacent photovoltaic panels, so that the two adjacent photovoltaic panels are electrically connected. When two adjacent photovoltaic panels need to be electrically connected, only the conductive buckle needs to be placed in the gap between the two adjacent photovoltaic panels, and then the connecting rod mechanism is operated, so that the step of loosening and turning screws to fix wires on site is reduced, and the risk in construction is reduced.

This invention provides a sample entry / exit method and system. Upon receiving sample entry / exit instructions, it automatically determines the task sequence and generates a task scheduling strategy based on the current number of idle robots. This achieves a fully automated process from task reception to execution, significantly reducing manual intervention and improving work efficiency. It also ensures the rationality and timeliness of task allocation, demonstrating a high level of intelligence. By comprehensively considering the task sequence and the number of idle robots, task allocation can be dynamically adjusted to ensure optimal resource allocation, thereby improving overall entry / exit efficiency. Furthermore, based on warehouse layout, shelf location, sample type and specifications, and task allocation results, precise movement paths can be planned for each target robot. This not only shortens robot travel time and reduces energy consumption but also avoids collisions and path conflicts between robots, ensuring the safety and smoothness of entry / exit operations.

The invention provides an intelligent navigation method and system suitable for an electric motorcycle. The method comprises the following steps: acquiring traffic information of a target area, habit preference data of a user during driving of the electric motorcycle, a battery state of the electric motorcycle and real-time position data; determining a plurality of possible paths according to a starting point and an ending point set by a user based on the map data of the target area; screening the possible paths according to the traffic information to obtain a plurality of first optimized paths; screening the first optimization paths according to the habit preference data to obtain a plurality of second optimization paths; screening each second optimization path according to the battery state and the real-time position data to obtain a third optimization path; and displaying the third optimized path on the intelligent helmet based on an augmented reality technology. According to the method, the path is optimized through the real-time traffic information, congestion and construction road sections can be effectively bypassed, the travel time and the waiting time are shortened, and therefore the travel efficiency is improved.

The invention belongs to the technical field of power supply control, and particularly relates to a power control device and method for aircraft ground power supply equipment. The equipment comprises a direct-current power supply subsystem, an alternating-current power supply subsystem, a power control system and at least one liquid crystal screen operation unit, the direct current power supply subsystem comprises a first working power supply, a direct current side power unit and two paths of direct current output plugs which are electrically connected in sequence; the alternating current power supply subsystem comprises a second working power supply, an alternating current side power unit and two paths of alternating current output plugs which are electrically connected in sequence; the power control system is in communication connection with the direct-current power supply subsystem and the alternating-current power supply subsystem, and the liquid crystal screen operation unit is electrically connected with the power control system. According to the technical scheme, the problem of airplane power supply failure caused by low network casting rate, single power supply system type and large instantaneous current disturbance of a conventional ground power supply is solved, and the method is more environment-friendly.

The application belongs to the technical field of intelligent inspection, and provides a vehicle-machine cooperative inspection vehicle path planning method based on multi-objective optimization, which comprises the following steps: establishing a vehicle-machine cooperative inspection path planning model, selecting a minimum set of parking points and planning a vehicle path, completing vehicle scheduling and unmanned aerial vehicle task matching, then for each parking point, generating an initial unmanned aerial vehicle inspection path based on map data using the A-star algorithm, combining visual SLAM to realize environment mapping and real-time positioning, using an improved A-star algorithm and a rolling window mechanism to dynamically avoid obstacles, and in the process of unmanned aerial vehicle flight, fusing multi-source sensor data to estimate the unmanned aerial vehicle attitude position based on a G2O graph optimization framework, combining an adaptive error compensation algorithm to realize robust control of the flight trajectory, and finally judging whether the total length of the inspection path exceeds the single endurance capability of the unmanned aerial vehicle, if yes, segmenting and re-planning the path, and if not, outputting the final path. The application has high inspection efficiency, low cost, stable operation, and is suitable for large-scale tasks.

The invention relates to a hovercar energy processing method and device, a hovercar and a storage medium. The hovercar energy processing method is applied to the hovercar, the hovercar comprises a land walking body and a flying body, the land walking body comprises a range extender and a land walking battery pack, the flying body comprises a flying battery pack, and energy is supplemented between the land walking battery pack and the flying battery pack through a converter. The method comprises the following steps: analyzing route planning information according to navigation information set by the hovercar; determining scene driving parameters according to the travel route planning information; range extender operation parameters of the range extender are determined in different states of the hovercar; and determining operation strategies of the range extender in different scenes according to a comparison result of the scene driving parameters and the operation parameters of the range extender. Energy can be more reasonably provided for the hovercar, the power use requirements of the hovercar in different scenes are met, and the driving experience is improved.

The invention discloses an early warning event rapid issuing method based on a vehicle-road cooperation technology, and the method comprises the steps: obtaining the abnormal conditions of a vehicle and a road in real time through the infrastructure of the vehicle and the road, and obtaining the accident information; reporting the accident information to an edge computing node; the abnormal condition of the accident information is identified through the computer vision technology accident information by utilizing an edge computing node; the abnormal condition of the accident information is sent to a vehicle-road cooperation cloud control platform by utilizing an edge computing node; performing information fusion and analysis on abnormal conditions of the accident information by using a vehicle-road cooperation cloud control platform to obtain accurate accident information and early warning information; accurate accident information and early warning information are received using a navigation application of a user. According to the invention, by integrating the vehicle-road cooperation function service, the real-time transmission and processing efficiency of traffic accident information is improved, the problems of delay and information lag when a traditional navigation system processes sudden traffic events are effectively solved, and the response speed and accuracy of accident early warning are improved.

The invention relates to the technical field of soil sampling equipment, in particular to an unmanned aerial vehicle sampling device which is characterized in that a support frame is fixedly arranged below an unmanned aerial vehicle body; extension tables are fixedly arranged on the two sides of the supporting frame; the two sampling mechanisms are correspondingly and fixedly arranged on the two extension tables respectively; according to the sampling mechanism, a driving motor is arranged on a supporting frame; the wire twister is in transmission connection with the output end of the driving motor, the wire twister is fixedly arranged on the extension table, and the wire twister is fixedly connected with a pull rope; a brake for braking the wire twister is fixedly arranged on the wire twister; the sampling hopper is fixedly connected with the pull rope; and the driving motor and the brake are electrically connected with the unmanned aerial vehicle body. And under the condition that some natural conditions (such as cliff, deep valley or high-pollution area) cannot be reached or are difficult to reach, workers do not need to go to the site personally for sampling, so that the risk of field sampling of the workers is avoided, and meanwhile, the workload of the workers is also reduced.

The present invention discloses a method for quickly checking financial information, comprising: a user terminal sends a financial information association configuration table to an intermediate network node; after the intermediate network node receives the financial information association configuration table, the intermediate network node sends the financial information association configuration table to a remote server; the user terminal sends a request for first financial information to the remote server via the intermediate network node; after the remote server receives the request for the first financial information, the remote server determines whether the first financial information belongs to the first category of financial information based on an index of the first financial information and an index of the first category of financial information; if the remote server determines that the first financial information belongs to the first category of financial information, the remote server sends the first financial information and the second category of financial information to the intermediate network node; and the intermediate network node sends the first financial information to the user terminal.

The invention provides an electric crankshaft servo press structure and a control method, and belongs to the technical field of servo presses. According to the technical scheme, the acting characteristic of a flywheel in a traditional press machine is reserved, a servo motor connected with a crankshaft is added, and speed control is directly conducted on a crankshaft rotating pair, so that the speed of the crankshaft is equal to that of the flywheel when a clutch acts, and the crankshaft is in a static state in advance when a brake acts. Friction loss generated by a clutch and a brake of a traditional press machine can be completely eliminated, other attached problems such as noise, energy consumption and mechanical impact are solved, meanwhile, the productivity is improved, and the production cost is reduced. The speed of the crankshaft is directly controlled through the servo motor, so that the clutch acts when the speed of the crankshaft and the speed of the flywheel are synchronous, the brake acts when the crankshaft is static, and meanwhile shaping machining of a workpiece is completed through the inertia of the flywheel.