253 results about "Walking distance" patented technology

A warehousing system includes a container for storing at least one item, a first electronic (e.g. radio frequency identification (RFID)) module associated with the first container, and a controller which wirelessly communicates with first electronic module, for directing a transfer of said at least one item to and/or from said first container. The inventive system may include, for example, a hybrid retail/warehouse system which includes a facility having a shelving area, and a picking area adjacent to the shelving area, and a layout so as to minimize a picking area and a walking distance between a picking area and a shelving area.

There is provided a wireless portable device for providing location-based data to a user in a defined geographical area including a plurality of points of interest, the wireless portable device comprising a wireless transmitter, a wireless receiver, and a display. The wireless transmitter can transmit location information to a wireless server over a wireless network. The wireless receiver can receive location-based data relating to a point of interest from the wireless server periodically and automatically, based on the location of the wireless portable device. By optimizing map routes and schedules using the location-based data and user preferences including wish lists, the wireless portable device can provide helpful recommendations via the display, enabling the user to plan an efficient schedule of activities in the defined geographical area optimized by walking distance, queue wait times, booking and arriving at reserved events, and/or by other user preferences.

The invention provides a sweeping robot and a walking control method for the same. The method comprises the following steps of: mounting a plane mirror on a wall of a room to be swept, wherein a vertical non-reflective surface is arranged in the center of the plane mirror; the normal direction of the non-reflective surface is the positive direction of an X axis; a horizontal direction parallel to the plane mirror is the direction of a Y axis; and the central point of the vertical non-reflective surface is the original point of the X axis and the Y axis; calibrating the walking direction of the sweeping robot and the position of the original point according to the change of reflected laser which is transmitted to the plane mirror by a laser transmitter and received by a photoelectric conversion receiving head; calculating the walking distance of the sweeping robot in the X and Y directions by using a control module of the sweeping robot and positioning the sweeping robot on an indoor ground; and according to the positioning in a walking process, recording swept areas and identifying un-swept areas to finish the full sweeping of the indoor ground. The sweeping robot and the walking control method can realize a high-efficiency cleaning task and have a low cost.

The invention relates to health monitoring sneakers based on flexible array pressure sensor and a health monitoring method thereof, which acquire parameters of a user including walking distance, pace, frequency and energy consumption through acquiring information of sole pressure in a walking process. The sole pressure information is transmitted to a multifunctional wristwatch through a wireless communication mode for processing, storing and displaying; the multifunctional wristwatch also has the functions of pulse detection, body temperature detection and children safety custody; data stored in the multifunctional wristwatch is transferred to a computer client through USB; software of the computer client can perform data exchange with software of a master server; and the user can obtain training effect evaluation and exercise planning. The sneakers and the method can carry out health monitoring on the user through information including pulse, body temperature and sports parameters.

The invention discloses a bus transfer identification method based on vehicle GPS and bus IC card data, sequentially comprising the steps as follows: carrying out data fusion based on vehicle GPS and bus IC card data; extracting passenger bus travel data; acquiring a shortest path matrix of bus stops; identifying the get-on stop and the get-off stop; judging a transfer behavior based on the card swiping time interval; identifying the transfer behavior based on the walking distance for transfer; identifying the transfer behavior based on a transfer time threshold; and identifying the transfer behavior based on bus arrival time matching. The method of the invention takes comprehensive factors into consideration, is convenient in calculation and actual operation, is high in practicability, can greatly improve the convenience in and accuracy of bus transfer identification, and has a broad application prospect.

The invention discloses a method for real-time reserving of a parking space of a parking lot based on parking space prediction and parking selection. The method comprises the steps: carrying out the long-time prediction of unoccupied parking spaces of a parking lot nearby a destination in preset arrival time, and carrying out the selection of the parking lot under the consideration of the occupancy of the parking spaces, parking charge and walk distance of the parking lot, so as to select a to-be-reserved parking lot. In order to solve a problem that long-time parking space prediction may cause the insufficient precision, a system will carry out the short-time prediction of the to-be-reserved parking lot in a travel process, and finally confirm the reserving. The method can iron out the defects that a conventional strategy has no unoccupied parking space risk and is low in resource efficiency, facilitates the increase of probability that there is still an unoccupied parking space when a user arrives at the parking lot, reduces the parking searching, improves the utilization efficiency of public parking resources, and improves the urban intelligentization level.

The invention discloses a statistical learning model based gate position allocation method. The statistical learning model based gate position allocation method comprises the steps of adopting a prior probability prediction model, producing a take-off time difference value probability set, a take-off time difference value probability set and a landing time difference value probability set according to the historical flying situation of a certain flight, predicting arrival time probability distribution and parking apron airside leisure degree of the flight and accordingly performing flight gate position allocation. The statistical learning model based gate position allocation method is based on airside allocation, facilitates adjustment on only close gate positions of flights and shortens walking distances of passengers. In addition, overall evaluation on the using situation of gate positions is facilitated, allocation can be performed according to the planned landing time probability of the flights based on probability allocation, the gate position allocation accuracy is improved, gate position adjustment times caused by flight delay is decreased, and meanwhile the satisfaction degree of the passengers is improved. The utilization rate of the gate positions is comprehensively improved, and reasonable allocation of gate position resources is ensured.

The invention relates to the field of parking intelligent control, and discloses an intelligent identification and guidance method and system for a parking space. The method includes the following steps: acquiring a parking request; obtaining information of parking lots around a destination location according to the parking request, and calculating the distances and time of driving and walking from the destination location to the parking lots; according to the driving time from the current location to the parking lots when the parking request is issued, the parking fee, the walking distances from the parking lots to the destination and the number of free parking spaces in the parking lots, evaluating the parking lots by using a multi-objective decision model to select an optimal parking lot; and transmitting instruction information of the optimal parking lot carrying the number of remaining parking spaces to ensure that users perform parking operations based on the selected optimal parking lot. The scheme of the invention considers how to allocate the free parking spaces from the system goals, and also considers the influence of the real-time traffic on the driving cost, so that drivers can obtain the qualified parking spaces, and the utilization rate of the parking spaces in the parking lots can be improved under the condition that the increased cost of the system is within anallowable range.

A method and system for estimating a step length in a pedestrian navigation system is provided. The method of estimating a step length in a pedestrian navigation system includes calculating a walking frequency and an acceleration variance of a pedestrian by using acceleration data acquired from an acceleration sensor, calculating a walking distance of the pedestrian by using GPS data acquired from a GPS receiver, and estimating a step length of the pedestrian by using the calculated walking frequency, acceleration variance, and walking distance.

The invention mainly provides a bus stop site selection and layout optimization method based on passenger trip spatial distribution. The bus stop site selection and layout optimization method based on the passenger trip spatial distribution mainly comprises construction of a bus stop site selection optimization model and a solution algorithm thereof. The bus stop site selection optimization model takes minimization of walking distance of all the residents for taking buses as a goal and considers realistic constraint factors such as maximum walking distance between a resident dense point and a bus stop and upper and lower bounds of distance between adjacent stops, the solution algorithm of the bus stop site selection optimization model is a novel hybrid algorithm and combines advantages of a bacterial foraging optimization algorithm and a group random search algorithm, and according to problem characteristics, individual bacterium coding, initial bacterial colony generating, individual bacterium evaluation function generating and bacterial foraging operations are redesigned. The bus stop site selection and layout optimization method based on the passenger trip spatial distribution scientifically and reasonably determines bus stop positions by combining a real road topological structure according to trip spatial distribution characteristics of residents nearby a route, so that resident trips are facilitated, and bus operation efficiency is also improved.

The invention provides an organic electroluminescence display panel, a preparation method of the same, and a display device. The organic electroluminescence display panel includes a green light-emitting component and a green color film layer which is correspondingly arranged at the light extraction side of the green light-emitting component, wherein the walking distance of the light emitted from the green light-emitting component in the green color film layer does not change following change of the light extraction angle. As the organic electroluminescence display panel enables the walking distance of the light emitted from the green light-emitting component in the green color film layer to be unchanged following change of the light extraction angle, the organic electroluminescence displaypanel can prevent changing of the color purity of the green light passing the green color film layer so as to improve the color cast performance of the green light passing the green color film layerand improve the optical expression of the green light, so that the display effect of the organic electroluminescence display panel can be improved.

The invention discloses an optimal allocation method of hub airport gate positions based on an improved ACO algorithm. The optimal allocation method relates to the technical field of airport resource allocation, is based on the analysis of airport gate position configuration conditions and airport operation management modes in China, aims at the problems that the existing gate position allocation problem takes single target into account and is not high in precision and efficiency of a solution algorithm, comprehensively considers the optimization targets of shortest total walking distance of passengers, the most balanced idle time of gate positions and the least number of parking aprons, establishes a gate position multi-target optimized allocation model, and adopts an improved ant colony optimization algorithm for solving the model, so that the gate positions can be reasonably and effectively allocated to flights.

The application discloses a parking lot recommendation method and device, and relates to the technical field of navigation. The specific implementation scheme comprises the follows: determining a score of a candidate parking lot by combining the parking difficulty of the candidate parking lot in a target area where the destination is located, the current number of remaining parking spaces, the walking distance from the candidate parking lot to the destination, and the driving distance of the current location of the vehicle to the candidate parking lot; and selecting a target parking lot from the candidate parking lots in the target area by combining the scores of the candidate parking lots, and providing the parking lot information of the target parking lot to a navigation terminal. Therefore, the parking lot is recommended to the user by combining multiple factors such as the parking difficulty, the current number of the remaining parking spaces, the walking distance, and the drivingdistance; and therefore, the accuracy of recommending the parking lot can be improved, which is convenient for the user to park according to the target parking lot provided in the navigation terminal.

The invention discloses a floor sweeping robot with a threshold detection function and a threshold detection method thereof. The threshold detection system comprises a wall-following detection component, a universal wheel walking distance measuring component, a collision detection component, a MCU and a walking drive component. The wall-following detection component, the universal wheel walking distance measuring component and the collision detection component are respectively connected with the sampled signal input end of the MCU, and the control signal output end of the MCU is connected with the walking drive component. According to the floor sweeping robot with the threshold detection function and the threshold detection method thereof, by the aid of the structural feature of a threshold and the structural feature of the floor sweeping robot itself, the threshold detection system is designed, the design is reasonable, no any extra detection accessory is needed, and cost is low; the threshold can be intelligently recognized and judged by integrating the universal wheel forward-moving information, three-axis magnetoresistive sensor reading variation and front end infrared ground-penetrating sensor signals, the recognition precision is high, the reliability is good, the structure is simple, and the cost is low.

The invention relates to a device and a method for distance positioning and mileage calibration of a railway robot. The device comprises I-shaped steel rails, the robot, lifting lug seats, a proximity transducer, a mileage computing device and a motor shaft encoder, wherein the proximity transducer is arranged on the robot; the lifting lug seats are arranged on operating rails; when the robot walks on the rails, the proximity transducer can detect position information of each lifting lug seat when passing the lifting lug seat; an accurate position and mileage information of the robot can be calculated by calculation of the mileage calculating device of the robot. The mileage of the mileage computing device is calibrated by using accurate and fixed positions of the lifting lug seats; the distance between the two lifting lug seats is computed by using the motor shaft encoder; the mileage and the distance are combined together to obtain an accurate position and a walking distance of the robot; the device is simple in structure and is accurate in positioning.

Some embodiments provide a map application that identifies a transit route between a starting location and a destination location. The transit route, in some embodiments, comprises a set of transit legs that each is serviced by transit vehicles of a transit line and a set of walking distances. The map application of some embodiments generates a frequency of departures for transit vehicles of each transit line in the set of transit lines from a first transit station of the transit leg that is serviced by the transit line. The map application of some such embodiments further generates a frequency of departures for the entire transit route.

The invention discloses a cloud parking lot parking space optimization method based on a Dijkstra optimization algorithm, which includes the following steps: a video parking space detection terminal in a cloud parking lot uploads detected parking space data to a cloud platform; a weighted directed diagram of the road network of the parking lot is drawn according to the parking space data; an optimal parking space model is established according to the weighted directed diagram of the road network; the shortest driving distance and the shortest walking distance for each empty parking space are calculated using a Dijkstra optimization algorithm according to the optimal parking space model; and the value of relative driving distance Theta for each empty parking space is calculated, wherein the parking space corresponding to the minimum value in the set of values of relative driving distance Theta is an optimal parking space, and the path corresponding to the optimal parking space is an optimal path. The problem that the utilization rate of parking lot areas is unbalanced is solved under the condition of ensuring the vehicle tracking distance, and the Dijkstra optimization algorithm makes the optimization process simpler and more efficient.

The invention provides a method and apparatus for providing a get-on place for a passenger, through which the geographical position of the passenger can be analyzed, the fastest get-on place of the passenger in a walking acceptable range is calculated, the time for both sides is saved, unnecessary cost is avoided, and the taxi-taking experience for the passenger is finally enhanced. The method includes: obtaining taxi-taking information of the passenger from a passenger terminal after the passenger terminal initiates a taxi-calling service; obtaining current position information of a driver from a driver terminal after the driver terminal receives an order of the passenger; calculating the duration from a current position to an expected taxi-taking place according to a real-time road condition of a current road, position information of the expected taxi-taking place, and the current position information of the driver; determining taxi-taking places accepted by the passenger according to the position of the expected taxi-taking place and a set walking distance; and providing the taxi-taking places in accordance with a preset condition in the taxi-taking places accepted by the passenger with the combination of the duration from the current position to the expected taxi-taking place of the driver.

The invention relates to a lawn leaf sweeper. A hand-propelled walking mode is adopted; when a front wheel of the sweeper rotates, a drum in front of the sweeper is driven to rotate through chain transmission, the drum drives a rake rolling needle on the drum to rake leaves, the leaves are pushed into a suction port along a lower housing plate of the drum, and rake teeth at the suction port rake the leaves into a collecting box; leaf collecting power is mainly supplied by a petrol engine; the petrol engine drives an impeller to rotate through a belt; the leaves are absorbed into the collecting box under the action of negative pressure produced by the rotation of the impeller; and after the collecting box is filled with leaves, the leaves automatically enter a detachable movable collecting box which is connected to the back of the collecting box under the action of the impeller power, so that leaf collection is completed. In the sweeper, more human-friendly treatment is adopted, the rotating speed of the drum is increased according to the walking speed of a person, and power needed by the impeller for absorbing the leaves, namely the power of the petrol engine is calculated according to a walking distance, so that the labor of cleaning workers is reduced while time saving and high efficiency are ensured.

An exercise therapy device 1 includes a pulse wave sensors 16 for detecting a pulse wave of a lower limb of a patient when being fixed to the patient, a walking sensor 15 for detecting a walking distance that the patient has walked, and a target walking distance setting section 30. The target walking distance setting section 30 is configured to set a target walking distance for exercise therapy, when the pulse wave detected by the pulse wave sensors 16 has a waveform having a predetermined shape which is flatter than an arterial pressure waveform, based on the walking distance of the patient by the time when the pulse wave has the waveform having the predetermined shape.

The invention discloses a transfer robot picking task scheduling method for a movable goods shelf warehousing system, and belongs to the field of electronic commerce. The method comprises the following steps of constructing a picking task allocation and robot transfer sequence planning model with the minimum picking completion time of all orders as a target; and inputting information such as to-be-picked goods shelf information associated with all customer orders, time information about time required for replacing two goods shelves by a transfer robot, time information for manual picking of the goods shelves on a picking table, a determined time interval, and the number of the transfer robots and the picking tables into the picking task allocation and robot transfer sequence planning model, and obtaining a picking task allocation and transfer sequence planning scheme of the transfer robot based on existing integer programming model solution software. According to the method, the technical scheme is simultaneously provided for the picking task allocation and service sequences of the transfer robot, the walking distance of the transfer robot is reduced, the total picking time is reduced, the optimization effect is achieved, and the working efficiency of the movable goods shelf warehousing system is improved.

The invention provides a closed loop correction method for indoor environment map creation. The method comprises the following steps: 1, acquiring environment information, and labeling the initial pose information of a robot; 2, recording the real-time pose information of the robot after the walking distance of the robot exceeds a prescribed range, and generating an environment map by adopting a Gmapping algorithm according to the initial pose information and the real-time pose information; 3, detecting whether closed loop exists in the environment map or not, executing step 4 if so, and executing step 2 if not; and 4, afresh estimating the real-time pose information of the robot by adopting a state estimation algorithm, and updating the real-time pose information to generate a corrected map. The closed loop correction method for map creation based on a low-cost and low-precision laser sensor improves the map creation precision, and promotes the application of the low-cost laser sensor in daily life and scientific researches.