29 results about "Walk distance" patented technology

The embodiment of the invention provides a boarding gate distribution method based on passenger portraits, and the method comprises the steps: carrying out the group feature recognition of passengers of at least one target flight based on multi-source data, and obtaining a multi-dimensional feature portrait vector of each target flight; on the basis of the multi-dimensional feature portrait vector of each target flight, predicting the consumption probability of each shop in the airport corresponding to passengers of each target flight; determining the total expected income of all shops in the coverage area of each boarding gate based on the consumption probability of each shop in the airport corresponding to the passengers of each target flight, the predicted passenger flow scale of the target flight, the space interception rate coefficient of each shop and the historical average passenger unit price; and constructing a multi-target mixed integer programming model based on the total expected income of all shops in the coverage area of each boarding gate, the walking distance from the security check gate to each boarding gate, the operation constraint parameter and the strategy weight factor, and determining a boarding gate corresponding to each target flight by using the multi-target mixed integer programming model.

The invention is applicable to the technical field of medical aid decision making, and particularly relates to a method, a system and equipment for constructing a six-minute walking distance prediction model for old people, and the method comprises the steps: obtaining brain wave signals, experimental data and body data of a target user in a test process; screening the experimental data into stable data and fluctuation data based on the brain wave signal; determining correction data based on the stable data and the fluctuation data, and determining correction experiment data based on the correction data and the stable data; and taking the body data of each user target and the corrected experiment data as a group of training data in a training data set of a prediction model, and obtaining the prediction model based on multiple groups of training data. According to the old people group six-minute walking distance prediction model construction method provided by the invention, the prediction accuracy of the old people group six-minute walking distance prediction model can be improved.

The invention provides a walking distance estimation method and device based on an intelligent insole, and the method comprises the steps: S1, obtaining the grounding time ta1 of a front left foot, the grounding time ta2 of a rear left foot, and the grounding time tb0 of a right foot according to pressure data in a walking process; s2, acquiring magnetic field intensities sensed by the two electromagnetic modules at the tb0 moment, constructing an equation set according to the magnetic field intensities, and solving the equation set to obtain a relative position coordinate of the left foot at the ta1 moment relative to the right foot at the tb0 moment, a relative position coordinate of the left foot at the ta2 moment relative to the right foot at the tb0 moment and a relative position coordinate of the right foot at the tb0 moment; obtaining a first left foot distance according to the two relative position coordinates; and S3, continuously repeating to obtain a plurality of left foot sub-distances and a plurality of right foot sub-distances, and further obtaining an estimated walking distance. The precision and reliability of walking distance estimation can be remarkably improved.

The application provides an artificial intelligence-based multi-scene access control electric door linkage control method and system, comprising: acquiring the position information of each electric door entrance in the building through an electric door entrance coordinate acquisition unit, combining the multi-scene access control electric door linkage layout, extracting the actual walking distance between two electric door entrances according to the spatial distribution between the electric door entrances, and obtaining an electric door entrance walking distance table; extracting the identification time of the same voucher at different electric door entrances from a voucher time sequence recording unit, comparing the time interval between two adjacent recognitions with the minimum passing time of the corresponding electric door entrance pair, and marking as a preliminary potential return suspect when the time interval is less than the minimum passing time; analyzing the results of the behavior legality label, and adding a preset buffer time to the minimum passing time of the electric door entrance pair for the situation of recognized legal door changing behavior to obtain an extended time window.

The invention relates to the field of coal machine equipment automatic control, and discloses a track equipment walking distance measuring method and device, and the method comprises the following steps: constructing a control system composed of a control unit, a sensing system and a human-computer interface; the control unit comprises a controller and an operating element, and the sensing system comprises a left track and a right track which are respectively provided with a multi-circle absolute value encoder; and the human-computer interface communicates with the controller in a bus mode to cooperatively complete encoder calibration. An integrated control system of a control unit, a sensing system and a human-computer interface is constructed, and a multi-circle absolute value encoder and an optimized measurement algorithm are combined, so that real-time and automatic measurement of the walking distance of the crawler equipment is realized. The encoder and a track driving wheel shaft / motor shaft rotate synchronously, data are transmitted to the controller in real time through a bus, initial calibration and cross-zero point data processing logic are matched, and the problems of errors and efficiency of traditional manual measurement are effectively avoided.

The application provides an artificial intelligence-based multi-scene access control electric door linkage control method and system, comprising: acquiring the position information of each electric door entrance in the building through an electric door entrance coordinate acquisition unit, combining the multi-scene access control electric door linkage layout, extracting the actual walking distance between two electric door entrances according to the spatial distribution between the electric door entrances, and obtaining an electric door entrance walking distance table; extracting the identification time of the same voucher at different electric door entrances from a voucher time sequence recording unit, comparing the time interval between two adjacent recognitions with the minimum passing time of the corresponding electric door entrance pair, and marking as a preliminary potential return suspect when the time interval is less than the minimum passing time; analyzing the results of the behavior legality label, and adding a preset buffer time to the minimum passing time of the electric door entrance pair for the situation of recognized legal door changing behavior to obtain an extended time window.

The invention discloses a customized bus scheduling model considering U-turn penalty and passenger getting-on and getting-off station recommendation and a solving algorithm of the customized bus scheduling model. A modeling framework of two-way waiting points and U-turn penalty is introduced; the method comprises the following steps of: splitting the vehicle into a pair of waiting points in opposite directions, depicting the minimum number of times of turning around required when the vehicle runs between the stations in different directions through a turning-around matrix, and quantifying the turning-around behavior into cost and constraint. On the basis, the problem is modeled into a mixed integer programming model, constraints such as passenger walking time, the maximum walking distance, passenger time windows, vehicle capacity constraints, vehicle starting and ending point positions and the upper bound of the number of times of turning around are comprehensively considered, and a branch pricing algorithm is designed for solving. The model and the algorithm are integrated into a bus platform, so that a better driving route can be customized for the bus.

The invention belongs to the technical field of inspection robots, and particularly relates to a photovoltaic power station unmanned automatic inspection robot and a use method thereof.The photovoltaic power station unmanned automatic inspection robot comprises a walking frame, a robot shell and a plc, a positioning bottom plate is welded to the upper surface of the walking frame, and a camera is mounted on the inner side of a mounting plate through a driving motor; a PLC is fixed to one end of the robot shell through a mounting frame bolt, a proximity sensor is mounted on one side of the walking frame, a displacement sensor is mounted on the other side of the walking frame, and a tilt angle sensor is further mounted on the walking frame. A closed-loop control system integrating gradient sensing, height calculation and active compensation is adopted, the pitch angle, namely the gradient angle alpha, of the vehicle body is directly obtained in real time through the tilt angle sensor, the walking distance L measured by the displacement sensor is combined, and the vertical height difference H needing to be compensated is accurately calculated through the plc; and the absolute height of the camera in the space is dynamically maintained to be constant.

The application discloses a kind of library book intelligent query guiding method and system, it is related to book management technical field, according to the target book set formed with starting position point, it is combined with the spatial coordinate matrix and the passage node set constructed, obtains the real distribution characteristics of target book in three-dimensional space;The total walking distance is compared using the generated multiple candidate book taking order, and the optimal book taking sequence is screened out from it, and the user can complete all book taking operations with the overall minimum walking distance;Based on the optimal book taking sequence, a continuous and executable navigation path is generated and directly issued to the user terminal, which realizes accurate route guidance for the user in the actual library environment, effectively overcoming the problem that the traditional library system can only present the independent positions of multiple books and cannot plan the overall shortest route across the area, so that the user no longer needs to manually try walking or repeatedly go back and forth between book areas when facing multiple books distributed on different floors and in different book areas.

The application provides a virtual reality reorientation walking method and system with virtual interest point sensing, comprising: acquiring a user pose, a specified physical target point and curvature gain data, and calculating a deflection direction change point; changing the deflection direction of the user by deflection reset through the deflection direction change point, and walking along a curve in a physical space according to the curvature gain after the deflection direction; calculating the maximum walking distance from the deflection reset to a virtual interest point during the curve walking in the physical space; and walking according to the maximum walking distance to reach the specified physical target point through the virtual interest point. The application solves the problem that the existing virtual reality device reorientation walking method cannot specify a physical path point, reduces the reset frequency, and prolongs the walking distance between the reset occurrence position and the virtual interest point.

According to the positioning device of the milling machine for machining the aluminum bar insertion port, the walking distance of the driving mechanism is controlled through the processor, so that the walking seat reaches a specific machining position, the position of the positioning mechanism is adjusted, and then the end of an aluminum bar can abut against the positioning mechanism; the high-precision positioning of the aluminum bar plug interface processing is further realized; and in combination with real-time feedback of the first sensor, it is ensured that the end of the aluminum bar is accurately connected with the positioning mechanism in an abutting mode, the consistency of the machining positions of the inserting openings is ensured, and errors caused by traditional manual adjustment are effectively avoided. And meanwhile, the positioning mechanism is movably arranged on the walking seat, the machining depth of the insertion opening can be flexibly adjusted, machining can be carried out according to aluminum bar insertion openings of different sizes, and the universality of the device is enhanced. In addition, through cooperative work of the processor, the driving mechanism and the first sensor, the aluminum bar positioning simplicity is achieved, manual intervention is reduced, the operation difficulty is lowered, and the production efficiency is improved.

The disclosure is generally directed to systems and methods that minimize walking inside a multi-level parking structure. An example method that may be performed by a processor can include determining a first walking distance between a first unoccupied parking spot on a first parking level of a multi-level parking structure and a destination located outside the multi-level parking structure and can further include determining a second walking distance between a second unoccupied parking spot on a second parking level of the multi-level parking structure and the destination located outside the multi-level parking structure. The first walking distance is compared to the second walking distance and based on a shorter of the first walking distance and the second walking distance, guidance is provided to drive to one of the first unoccupied parking spot or the second unoccupied parking spot. The guidance may be provided via an infotainment system of the vehicle.

The present disclosure relates to an alternative intervention to improve skeletal muscle health in chronic kidney disease (CKD). CKD causes skeletal muscle complications that lead to increased risk of falls, hospitalizations and mortality. While exercise is a common treatment for these impairments in the general population, in patients with CKD exercise has shown only marginal improvements in aerobic capacity and inconsistent effects on muscle strength, walking distance, and timed-up-and-go tests indicating this ‘usual’ treatment is not enough in patients in CKD. The present disclosure relates to methods of using an aminoindazole to treat inflammation and metabolic derangements and to improve skeletal muscle health in CKD.

This application provides a boarding gate allocation method based on passenger profiles. The method includes: identifying the group characteristics of passengers on at least one target flight based on multi-source data to obtain a multi-dimensional feature profile vector for each target flight; predicting the consumption probability of each shop within the airport corresponding to the passengers of each target flight based on the multi-dimensional feature profile vector of each target flight; determining the total expected revenue of all shops within the coverage area of ​​each boarding gate based on the consumption probability of each shop within the airport corresponding to the passengers of each target flight, the predicted passenger flow of the target flight, the spatial interception rate coefficient of each shop, and the historical average transaction value; constructing a multi-objective mixed integer programming model based on the total expected revenue of all shops within the coverage area of ​​each boarding gate, the walking distance from the security checkpoint to each boarding gate, operational constraint parameters, and strategy weight factors; and using the multi-objective mixed integer programming model to determine the boarding gate corresponding to each target flight.

The invention discloses a control method for improving the steel turning efficiency of a billet continuous casting machine, which is characterized by comprising the following steps of: controlling a billet moving vehicle to move and calculating the real-time walking distance of the billet moving vehicle; setting a safety interval of each ejection roller way according to the flow spacing of the ejection roller ways and the starting point position of the blank moving vehicle; on the basis of the real-time walking distance of the billet moving vehicle and the safety interval of each billet ejection roller way, tilting gears corresponding to the billet ejection roller ways are controlled to allow or forbid steel tilting. On the basis, the steel turnover efficiency is improved, and meanwhile the problem that single-flow production is interrupted due to the fact that steel turnover is not timely when the casting speed of a casting machine is too high is solved.

The present application relates to the technical field of car searching, in particular to a sound wave positioning car searching method, device, terminal equipment and system. A sound wave is sent to a target vehicle to issue an instruction; a time when a first sound wave is received is obtained and recorded as a first time; the first sound wave is emitted by the target vehicle after receiving the sound wave instruction; an initial position direction corresponding to the target vehicle is determined; a user is guided to walk based on the initial position direction at the first time, and a first user walking distance is calculated at a second time, the second time being a preset time length after the first time; and a target position corresponding to the target vehicle is determined based on the first user walking distance. The present application realizes cross-floor and long-distance positioning, solves the problem of car searching difficulty in an indoor parking lot, and does not require additional equipment, thereby being low in cost and high in efficiency.

The application discloses a caterpillar type arch mounting trolley intelligent control system and an arch mounting method, and comprises a trolley arch automatic positioning module; walking caterpillars are arranged on the two sides of the trolley; the trolley arch automatic positioning module comprises a first encoder, a second encoder, a first controller and a caterpillar hydraulic valve group; the first and second encoders are installed at the walking caterpillars of the trolley; the first and second encoders collect encoder signals, and finally send linear displacement data of the two walking caterpillars in the advancing direction to the first controller after processing; the first controller is used for converting the collected encoder signals into walking distances of the two walking caterpillars, driving the caterpillar hydraulic valve group with flow transmission to execute flow and on-off specific instructions, so as to realize automatic control of trolley advancing positioning. The control system and the mounting method are suitable for tunnel three-step construction methods, and are suitable for synchronous operation of arch mounting, longitudinal reinforcement, mesh mounting and other tunnel primary support structures.

The development of information technology makes multimedia devices and smart devices widely used in teaching, and using information technology to promote the improvement and innovation of education and teaching has become a new trend. Classroom teaching condition detection and evaluation is an inevitable requirement to improve teaching quality and learning results. Traditional teaching evaluation methods are highly subjective and inefficient, and in the digital information age, big data and artificial intelligence technology should be fully used for classroom teaching condition detection and evaluation. The interaction between teachers and students, the concentration of teachers' teaching and the classroom atmosphere can be judged by detecting the moving distance of teachers. The invention focuses on classroom teaching video, analyzes the teaching behavior of teachers, selects the moving distance of teachers as an index, and researches from the aspects of teacher target detection and tracking, video moving distance measurement, teacher behavior modeling and action recognition. In the teaching video, the teacher's face is recognized, the centroid point is taken, the teacher's face change is positioned and tracked, and the horizontal moving distance of the teacher in the platform area and the vertical moving distance of the teacher in the aisle area are measured online.

The invention provides a control method of an automatic pool cleaning device and the automatic pool cleaning device. The control method comprises the steps that the automatic pool cleaning device is controlled to move in a pool; in the moving process, the automatic pool cleaning device is controlled to execute preset movement based on a preset rule; if the to-be-cleaned object is detected, the automatic pool cleaning device is controlled to go to clean the to-be-cleaned object; wherein the preset rule comprises the preset walking time or the preset walking distance of the automatic cleaning device for the water pool. The detection range is expanded, the detection efficiency and success rate are improved, and therefore the cleaning efficiency of the automatic cleaning device for the water pool is improved.

The application discloses a time-sharing control method for remote control and automatic iron removal, which comprises the following steps: S1, an iron remover is initially located above a feeding belt and is in an iron absorption excitation state; S2, the iron remover is controlled to enter an iron release walking state in a time-controlled or remote operation mode, and the walking distance is determined according to an infrared limiting distance and a walking time, and the walking time is accurate to a second level; S3, after the iron remover reaches an iron release position, the iron remover enters an iron release and magnetism release state, and the magnetism release time is determined according to the time for the iron remover to run stably to a stationary state and the time for the adsorbed iron pieces to be completely released; S4, after the iron release step is completed, the iron remover is controlled to enter an iron absorption walking state, and the walking distance is determined according to an infrared limiting distance and a walking time, and the walking time is accurate to a second level; and S5, when the iron remover reaches above the high-pressure roller feeding belt, the iron remover is controlled to enter the iron absorption excitation state, and the above steps are circularly executed. The application improves the production status of manual operation of the iron remover and effectively improves the work efficiency and safety.

The application discloses a multi-dimension labor load evaluation system and method, and relates to the technical field of intelligent production management. The system comprises a data acquisition module for acquiring operation data corresponding to a post type, a basic model library module for providing pre-constructed evaluation models corresponding to different dimensions, a score calculation module for calculating labor load scores of different dimensions, and a result output module for calculating labor load score results according to the labor load scores of different dimensions. The evaluation models of different dimensions comprise at least one of a body posture evaluation model, a force evaluation model and a manual carrying evaluation model, and comprise a walking distance evaluation model. The system provided by the application forms a comprehensive evaluation system covering static and dynamic elements simultaneously, and improves the comprehensiveness and accuracy of labor load evaluation.

The invention provides a railway passenger station ticket entrance intelligent management and control method and equipment, and the method comprises the steps: building a knowledge graph which is used for representing the corresponding relation between each ticket entrance and each station track of a railway passenger station if a ticket entrance reconfiguration instruction for the railway passenger station is obtained at present, determining the train parking position of the railway passenger station in the target time period based on the non-linear relation data among the multiple dependent variables corresponding to the railway passenger station; according to the parking position and the knowledge graph, generating ticket entrance configuration preliminary scheme data, and performing safety risk investigation and dynamic adjustment to obtain target ticket entrance configuration scheme data; and sending the scheme data to a station operation management and control platform to update ticket entrance information. According to the invention, intelligent configuration of the ticket checkpoint can be realized, the station entering walking distance of passengers can be effectively reduced, the passenger passing efficiency is improved, streamline crossing and passenger flow hedging risks can be effectively avoided, the operation safety of the railway passenger station is improved, and the operation and maintenance cost of the station is reduced.

The invention discloses a subway network key station identification method and system considering bus substitution, and the method comprises the steps: respectively constructing a subway weighted network and a bus weighted network with the travel time as the weight based on subway and bus station and line data in a research range; the method comprises the following steps of: screening bus stations in a walking range of a subway station through a spatial connection method, constructing an initial bus alternative network, and optimizing to obtain a final weighted bus alternative network by combining walking time, a passenger walking perception coefficient and an acceptable travel time threshold value; and calculating the betweenness centrality, the proximity centrality and the weighting centrality of each subway station, establishing a comprehensive importance calculation model, and identifying the key stations in the subway network based on the comprehensive importance. The method is used for accurately capturing the trade-off relationship between the importance of the subway station in the network structure and the availability of the bus replacement service, and can provide decision support for emergency plan making of a subway system and connection bus network planning.

This application discloses a method, apparatus, equipment, and medium for measuring walking distance in a walking test. The method includes: acquiring acceleration and angular velocity data of a person under test during the walking test; determining the number of turns and the timing corresponding to the last turn based on the angular velocity data; determining the number of steps taken by the person after the last turn based on the acceleration data and the timing corresponding to the last turn; and determining the total walking distance of the person under test based on the number of turns and the number of steps taken during the walking test. By using the acceleration and angular velocity data of the person under test to determine the number of turns and steps, and then calculating the walking distance of the person under test based on the number of turns and steps, accurate test data can be obtained without manual intervention or on-site setup.

The application belongs to the technical field of robot arms, and particularly relates to an artificial intelligence robot arm, which comprises a chassis seat, the upper portion of the chassis seat is provided with a full-range rotating assembly, the device is provided with the full-range rotating assembly, the use of a sliding seat, a fixing frame, a rotating motor, a threaded rod, a sliding rack, a driving gear, a rotating frame, a rotating shaft and an infrared observation camera can more quickly and accurately drive the walking distance and the grabbing position of the clamping end of the robot arm, thereby flexibly adjusting according to specific use requirements, realizing the high-freedom characteristic of the robot arm during work, expanding the application range of the grabbing part of the robot arm, automatically grabbing the articles at any angle and position, not needing to limit the position of the article before grabbing at the grabbing end, not needing manual operation, having high intelligence, and greatly improving the work efficiency of the robot arm grabbing and carrying.

The application discloses a sensor error determination method, a production system, a program product and a storage medium. The method is based on a preset calibration data set to construct a mapping relationship between a walking distance and a walking time. The calibration data set includes time parameters and distance parameters. The time parameters include timestamp data of at least two marking points on a calibration sample when the at least two marking points pass through at least one calibration station. The distance parameters include physical distance data between the at least two marking points. Based on the timestamp data and the mapping relationship, the calculated distance parameters of the calibration sample when passing through the at least one calibration station are calculated. The calculated distance parameters and read distance parameters are fitted to determine error parameters of the sensor. The read distance parameters include walking readings collected by the sensor when the at least two marking points pass through the at least one calibration station. The calibration and calibration of the sensor error can be realized without stopping and disassembling the equipment, and the calibration process is greatly simplified, and the production interruption and material loss are reduced.

This invention provides a method and system for assessing and optimizing urban age-friendliness, relating to the fields of smart city and urban planning technology. By constructing a database of micro-environmental attributes including at least one of slope gradient, pavement material, and accessibility facilities, and calculating equivalent walking distances based on these attributes, this invention achieves accurate quantification of the actual travel load of the elderly, solving the problem of distortion in macro-distance measurement. Furthermore, by establishing a three-dimensional decoupled evaluation system encompassing accessibility, service supply, and service quality, it clearly reveals the specific causes of age-friendliness shortcomings, addressing the issues of single and confusing evaluation dimensions. Finally, through spatial clustering analysis, it generates differentiated age-friendliness optimization strategies, providing an efficient decision support tool for urban renewal in aging societies, significantly improving the efficiency of fiscal fund utilization and the targeting of renovation measures.

The utility model discloses a multifunctional intelligent walking aid, which belongs to the field of walking aids and comprises two U-shaped frames, the U-shaped frames are symmetrically arranged and open downwards, connecting rods are arranged on the inner sides of the U-shaped frames, a transverse connecting plate is transversely fixed on the front side between the two U-shaped frames, and the transverse connecting plate is connected with the U-shaped frames. An upper mounting flat plate is arranged on the front sides of the two U-shaped frames, the upper mounting flat plate is arranged above the transverse connecting plate, an intelligent controller is fixed to the surface of the front side of the upper mounting flat plate, and the body temperature and the heart rate of a patient are monitored in real time through an inductor and the intelligent controller and displayed in real time; when the body temperature and the heart rate are abnormal, an alarm is given out through the buzzer alarm to prompt other people, the distance measuring instrument at the bottom can record the walking distance of a patient and record the walking distance, the idler wheels are installed on the front side of the frame body, for a weak patient, the walking aid does not need to be lifted, movement can be achieved through pushing, and practicability and more convenience are achieved.

The invention relates to the technical field of cloth paving machines, in particular to a cloth paving machine walking distance measuring device which comprises a platen, a plurality of mark points are sequentially and regularly arranged on the platen at intervals in the walking direction of the cloth paving machine on the platen, and a sensor is arranged on the cloth paving machine. The sensor generates a trigger signal by sensing the mark point every time the sensor reaches one mark point, and the controller is in communication connection with the sensor. The invention further relates to a cloth paving machine walking distance measuring method adopting the cloth paving machine walking distance measuring device, the cloth paving starting end is located at the first mark point, the cloth paving stopping end is located between the nth mark point and the (n + 1) th mark point, and a walking motor encoder of the cloth paving machine collects the tail end walking distance h between the nth mark point and the (n + 1) th mark point of the cloth paving machine; the controller calculates the cloth paving walking distance of the cloth paving machine according to the distance x between the adjacent mark points, sensor signals and walking motor encoder information. The invention further relates to a cloth paving device comprising the measuring device. The walking precision of the cloth paving machine can be improved.