CN108622751A - The boarding detection system of elevator - Google Patents

The boarding detection system of elevator Download PDF

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Publication number
CN108622751A
CN108622751A CN201810072843.0A CN201810072843A CN108622751A CN 108622751 A CN108622751 A CN 108622751A CN 201810072843 A CN201810072843 A CN 201810072843A CN 108622751 A CN108622751 A CN 108622751A
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CN
China
Prior art keywords
search coverage
door
hall
boarding
user
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Pending
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CN201810072843.0A
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Chinese (zh)
Inventor
中西厚太
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Toshiba Elevator and Building Systems Corp
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Toshiba Elevator Co Ltd
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Application filed by Toshiba Elevator Co Ltd filed Critical Toshiba Elevator Co Ltd
Publication of CN108622751A publication Critical patent/CN108622751A/en
Pending legal-status Critical Current

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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • B66B5/0012Devices monitoring the users of the elevator system
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B13/00Doors, gates, or other apparatus controlling access to, or exit from, cages or lift well landings
    • B66B13/24Safety devices in passenger lifts, not otherwise provided for, for preventing trapping of passengers
    • B66B13/26Safety devices in passenger lifts, not otherwise provided for, for preventing trapping of passengers between closing doors

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  • Indicating And Signalling Devices For Elevators (AREA)
  • Cage And Drive Apparatuses For Elevators (AREA)
  • Elevator Door Apparatuses (AREA)

Abstract

Even if the present invention provides a kind of boarding detection system of the different elevator that also can be set optimal detection range and accurately detect user of the specification of the hall in each floor.The elevator device of one embodiment of the present invention has:Image pickup part can shoot prescribed limit near the door of cage towards the direction of hall;Search coverage configuration part, according to using the image taken by image pickup part and the shape of door pocket that detects sets search coverage;User's probe portion, using the image taken, according to the movement of people, object in search coverage, to detect, whether there is or not the users for having boarding wish;And control unit, the on-off action of door is controlled according to the result of detection of user's probe portion.

Description

The boarding detection system of elevator
The application is with the Japanese patent application 2017-058763 (dates of application:3/24/2017) based on, it is based on this application Enjoy priority.The application includes all the contents of the application by reference to this application.
Technical field
Embodiments of the present invention are related to a kind of boarding spy of the elevator detected to the user for taking cage Examining system.
Background technology
In general, when the cage of elevator reaches hall when opening the door, can set out closing the door after the stipulated time. At this moment, the user of elevator does not know when cage closes the door, therefore sometimes when taking into cage from hall Bump against the door closed.
The collision of user and door when in order to avoid this boarding, pass through the video camera mounted on the top of cage Etc. detecting user and reflect in the open and close control of door.
Invention content
Video camera in cage is pre-fixed for each building to the investigative range of user , it is general in all floors.However, certain building the case where there are the samples diversified in specifications of the hall of each floor, from And the case where generating deviation there are detection accuracy.
The problem to be solved in the present invention is, even if it is all different to provide a kind of specification of the hall in each floor In the case of also can set optimal detection range and accurately detect the boarding detection system of the elevator of user.
The boarding detection system of the elevator of one embodiment of the present invention has:Image pickup part arrived in cage When hall prescribed limit can be shot towards the direction of the hall near the door of the cage;Search coverage Configuration part detects the shape of the door pocket of the hall using the image taken by the image pickup part, according to the door The shape of set sets search coverage;User's probe portion uses and is connected in time series by what the image pickup part took Multiple continuous images are conceived to people in the search coverage, to detect, whether there is or not the users for having boarding wish for the movement of object;With And control unit, the on-off action of the door is controlled according to the result of detection of user's probe portion.
The boarding detection system of elevator according to the above configuration, even if the specification in the hall of each floor is all different In the case of also can set optimal detection range and accurately detect user.
Description of the drawings
Fig. 1 is the figure of the composition of the boarding detection system for the elevator for indicating embodiment.
Fig. 2 is the figure of the door pocket of the elevator to illustrate embodiment.
Fig. 3 is the figure of an example for indicating the image taken by video camera in embodiment.
Fig. 4 is to illustrate the figure of the search coverage in the real space in embodiment.
Fig. 5 is the figure of the offset to illustrate the search coverage in embodiment.
Fig. 6 is the flow chart of the flow of the search coverage setting processing in illustrated embodiment.
Fig. 7 is the figure for indicating the search coverage configuration part in embodiment to the detection example of door pocket.
Fig. 8 is the figure for indicating the search coverage configuration part in embodiment to the setting example of search coverage.
Fig. 9 is the flow chart of the flow entirely handled in illustrated embodiment.
Specific implementation mode
In the following, refer to the attached drawing, illustrates embodiment.
Fig. 1 is the figure of the composition of the boarding detection system 1 for the elevator for indicating an embodiment.Furthermore multiplied with 1 herein With being illustrated for car, but more cages are also similarly to constitute.
The entrance top of cage 11 is provided with video camera 12.Specifically, going out in covering cage 11 The camera lens part of video camera 12 is provided in the lintel plate 11a on entrance top in a manner of towards 15 side of hall.Video camera 12 The for example, miniaturized surveillances video camera such as vehicle-mounted vidicon, have wide-angle lens, can be continuously shot at 1 second several frames (such as 30 frames/second) image.When cage 11 reaches each floor and opens the door, near the car door 13 in cage 11 The mode that state is included shoots the state of hall 15.
Coverage at this time is adjusted to the longitudinally wide L2 of longitudinally wide L1+, and (longitudinally wide L1 > > are longitudinally wide L2).Longitudinally wide L1 be 15 side of hall coverage, from car door 13 towards hall 15 be, for example, 3m.It is longitudinally wide L2 be cage side coverage, from car door 13 towards the car back side be, for example, 50cm.Furthermore longitudinally wide L1, Zong Xiangkuan Spend the range that L2 is depth direction.The coverage of width direction (direction orthogonal with depth direction) is at least than cage 11 Transverse width it is big.
Furthermore in the hall of each floor 15, hall door 14 is opened and closed the arrival mouth being arranged freely in cage 11. Hall door 14 snaps into cage door 13 when cage 11 reaches action is opened and closed.At power source (door motor) In 11 side of cage, hall door 14 only follows cage door 13 to be opened and closed.In the following description, cage Ladder hall door 14 is also open when door 13 is opened, and ladder hall door 14 is also to close when cage door 13 is closed.
Each image (image) taken by video camera 12 is subject to dissection process in real time by image processing apparatus 20.Again Person is to take out image processing apparatus 20 from cage 11 and shown, but actually for convenience in Fig. 1 Image processing apparatus 20 is accommodated in video camera 12 in lintel plate 11a together.
Herein, equipped with storage part 21 and user's probe portion 22 in image processing apparatus 20.Storage part 21 has buffering Area, the buffering area temporarily keep user's probe portion 22 gradually to preserve the image taken by video camera 12 Data needed for processing.User's probe portion 22 is conceived to multiple the continuous figures in time series taken by video camera 12 To detect, whether there is or not the users for having boarding wish for the movement of the people nearest from cage door 13, object as in.The user detects Portion 22 is made of search coverage configuration part 22a, motion detection portion 22b, position deduction portion 22c and boarding wish presumption unit 22d.
Search coverage configuration part 22a sets search coverage in the image taken by video camera 12.In present embodiment In, search coverage is determined for each floor, according to the shape of the door pocket of hall door 14.The details of door pocket will be in Fig. 2 In illustrate.
Motion detection portion 22b will for example be divided into a certain size block unit in search coverage, be come with the block unit Compare the brightness of each image and detects the movement of people, object.So-called " movement of people, object " described herein, refers to hall 15 The movement of the moving bodys such as personage, wheelchair.
Position deduction portion 22c from by motion detection portion 22b for each image detection to the block for having movement in extract The block, is estimated as the foot position of user by the block nearest from cage door 13.Boarding wish presumption unit 22d according to Whether there is or not boarding meanings to judge the user for the time series variation of the foot position of the user deduced by position deduction portion 22c It is willing to.
Furthermore these function (search coverage configuration part 22a, motion detection portion 22b, position deduction portion 22c, boarding wishes Presumption unit 22d) it may be provided in video camera 12, it may also be arranged in cage control device 30.
Cage control device 30 is connect with elevator control gear (not shown), is carried out between the elevator control gear The transmitting-receiving of the various signals such as hall calling, car calling.Furthermore so-called " hall calling " refers to by being arranged in each building The calling signal that the operation of the hall call button (not shown) of the hall 15 of layer is registered, including registration floor and mesh Place to information.So-called " car calling " refers to by the way that the indoor mesh (not shown) of car in cage 11 is arranged Ground call button the calling signal registered of operation, include the information of destination floor.
In addition, car control device 30 has an open and close control portion 31.Door open and close control portion 31 controls cage 11 and arrives The opening and closing of car door 13 when up to hall 15.Specifically, door open and close control portion 31 reaches hall 15 in cage 11 When open car door 13, and closing the door after the stipulated time.But pass through image processing apparatus 20 when car door 13 is opened In the case that user's probe portion 22 is detected with the personage of boarding wish, door open and close control portion 31 can forbid the pass of car door 13 Door acts and maintains door opening state.
Fig. 2 is the figure of the door pocket to illustrate elevator.More specifically, Fig. 2 is the figure of the elevator from 15 side of hall.
Door pocket is disposed on the frame around hall door 14, by left frame 16A, upper ledge 16B and tri- frame structures of right frame 16C Be present in the left side (being present in the right from 15 side of hall) from 11 side of cage at, the left frame 16A, it is described on Frame 16B is present in the top of hall 15, and the right frame 16C is present in the right (from 15 side of hall from cage 11 Observation is present in the left side).Left frame 16A and right frame 16C are contacted with the metope W of building.
The angle for the sides metope W of left frame 16A contacted with ground is set as left comer Cl.Similarly, by right frame 16C's and ground The angle of the sides metope W of contact is set as right corner Cr.
In addition, the side that the medial surface of left frame 16A is contacted with hall 15 is set as left bevel edge Hl.Similarly, by right frame 16C The side that is contacted with hall 15 of medial surface be set as right bevel edge Hr.
Fig. 3 is the figure of an example for the image for indicating to be taken by video camera 12.It is reflected in the image taken by video camera 12 There are left frame 16A, right frame 16C, left comer Cl, right corner Cr, left bevel edge Hl, the right bevel edge Hr of door pocket.In addition, the image includes detecting area Domain E0.Yn is the Y coordinate of the foot position of user.Hereinafter, cage door 13 is set as double door, video camera 12, which is mounted on, to be multiplied With the center of car door 13.In addition, Y-coordinate axle is using the center of cage door 13 as origin, with perpendicular to cage door The reference axis that 13 mode extends towards the direction of hall 15.
Video camera 12 is arranged on the entrance top of cage 11.Thus, it has been opened in hall 15 in cage 11 Men Shi, the prescribed limit that can be shot in the prescribed limit (longitudinally wide L1) and cage 11 of 15 side of hall are (longitudinally wide L2).Herein, wider investigative range is obtained by using video camera 12, be located at slightly from cage 11 so as to detect The user of remote position.But then, it is possible to which accidentally detection (does not take cage simply by the personage of hall 15 11 personage) and open car door 13.
Furthermore car door 13 or single open-door.In this case, door shield portion side is preferably leaned in the installation position of video camera 12 Installation.In addition, the origin of Y-coordinate axle can flexibly be changed according to the installation position of video camera 12.
Fig. 4 is to illustrate the figure of the search coverage in real space.In Fig. 4, the search coverage E0 in floor F1 is illustrated.
As described above, this system sets and is constructed as follows: search coverage configuration part 22a and is being taken by video camera 12 Search coverage E0 is set in image.Then, which is divided into the block of certain size by motion detection portion 22b, and is visited Survey someone, object movement block.Then, position deduction portion 22c and boarding wish presumption unit 22d have movement by tracking this Block is to determine whether be the user for having boarding wish.
In order to detect the movement for the user for having boarding wish using shooting image, motion detection portion 22b first against Each block and set motion detection region.Specifically, as shown in figure 4, at least setting position presumption region E1 and boarding meaning It is willing to presumption region E2.
Position deduction region E1 is the part for estimating the body of the user come from hall 15 to car door 13, tool Body is the region of the foot position of user.Position deduction region E1 is preferably identical as above-mentioned search coverage E0.
It is to estimate whether the user detected in the E1 of position presumptive region domain has boarding meaning that boarding wish, which estimates region E2, The region of hope.Furthermore boarding wish estimates region E2 and is included in above-mentioned position deduction region E1, and estimates the foot of user The region of portion position.That is, estimating the foot position of user in boarding wish presumption region E2 and estimating multiplying for the user Terraced wish.
In real space, search coverage E0 from the center of car door 13 go to hall 15 with longitudinally wide L3 away from From.Longitudinally wide L3 is for example set as 2m (longitudinally wide L3≤longitudinally wide L1).The transverse width W1 settings of search coverage E0 For the distance of the transverse width W0 or more of car door 13.In addition, in search coverage E0, as shown in figure 4, setting is with a left side for door pocket Left view rink corner θ a on the basis of the Cl of the angle and right field angle θ b on the basis of the right corner Cr of door pocket.More specifically, detecting area Domain E0 is with the left comer Cl comprising door pocket and with Y-axis at the straight line B1a of the left view rink corner θ a and right corner Cr comprising door pocket and and Y Axis is boundary at the straight line B1b of right field angle θ b.Left view rink corner θ a and right field angle θ b are, for example, 45 degree.Furthermore, it is usually preferred to The value of left view rink corner θ a and right field angle θ b are identical, that is, search coverage E0 is set as symmetrical.But such as according to whether there is or not The shape etc. of barrier in hall 15, hall 15 is set, and search coverage E0 also may be set to left-right asymmetry.
Boarding wish, which estimates region E2, has the distance of longitudinally wide L4 from the center of car door 13 towards hall 15.It is vertical For example it is set as 1m (longitudinally wide L4≤longitudinally wide L3) to width L4.The transverse width W2 of boarding wish presumption region E2 is set It is set to the transverse width W0 approximately the same distances with car door 13.Furthermore boarding wish estimates the transverse width W2 of region E2 Also greater than transverse width W0.In addition, boarding wish estimate region E2 in real space also can not be rectangle, but with spy Region E0 and position deduction region E1 is surveyed similarly according to left view rink corner θ a and right field angle θ b and along the shape of Y direction extension Shape.
Furthermore in the present embodiment, boarding wish presumption region E2 includes elevator close to search coverage.But boarding is anticipated It is willing to that presumption region E2 also may be set to remove the region close to search coverage.It is by being clapped by video camera 12 close to search coverage The image procossing for the image taken the photograph can be detected close to sensors such as switches close to car door 13 or hall door 14 The region of barrier.
Fig. 5 is the figure of the offset to illustrate search coverage.For example, the search coverage E0 of floor F1 shown in Fig. 4 is set It is scheduled in the boarding detection system 1 of elevator, in other floors also general search coverage E0.
Herein, in floor F2 shown in Fig. 5, the door pocket of the shape of door pocket and the floor F1 of Fig. 4 are different, the right side of door pocket Angle Cr and left comer Cl is in closer to the position of hall door 14.That is, the correct search coverage E0_B of floor F2 is with straight line B2a and straight line B2b is the region on boundary.
Herein, if search coverage E0 is used to floor F2, by straight line B1a and straight line B2a and straight line B1b and straight line The region A that B2b is surrounded just will not be included in search coverage E0, therefore, will not close to the people of elevator, object by the A of the region It is accurately detected.Thus, it is preferable to set optimal detection region for each floor.
In the following, using Fig. 6 to Fig. 8, for setting processings of the name search coverage configuration part 22a to search coverage E0.
Fig. 6 is the flow chart for the flow for illustrating search coverage setting processing.Together with Fig. 7, to step S101, S102 of Fig. 6 It illustrates.Fig. 7 is the figure for indicating search coverage configuration part 22a to the detection example of door pocket.
First, search coverage configuration part 22a detects the left comer Cl and right corner Cr (step S101) of door pocket.A left side about door pocket The detection method of angle Cl and right corner Cr can be enumerated and for example carry out edge detection, corner inspection to the image taken by video camera 12 The method etc. of the image procossings such as survey.Alternatively, also can be pre-placed and mark in the left comer Cl and right corner Cr of door pocket, using by imaging Image that machine 12 takes detects these labels by image procossing.
Furthermore it is complex in the shape of door pocket and in the case of detect multiple left comer Cl or right corner Cr, preferably remain The left comer Cl and right corner Cr farthest from hall door 14.
Then, search coverage configuration part 22a calculatings expression extends to inclining for the left bevel edge Hl of left comer Cl from hall door 14 Oblique slope θ l and expression extends to the inclined slope θ r (steps of the right bevel edge Hr of right corner Cr from hall door 14 S102)。
Together with Fig. 8, step S103~S105 of Fig. 6 is illustrated.Fig. 8 is to indicate search coverage configuration part 22a to visiting Survey the figure of the setting example of region E0.
Search coverage configuration part 22a determines left view rink corner θ a and right field angle θ b (steps by slope θ l, slope θ r S103).Herein, θ a in left view rink corner are equal with the left slope θ l of bevel edge Hl, and right field angle θ b are equal with the right slope θ r of bevel edge Hr. That is, one of boundary as search coverage E0, slope with left view rink corner θ a straight line B3a is to extend a left side towards hall 15 Straight line obtained by bevel edge Hl, another boundary as search coverage E0, slope with right field angle θ b straight line B3b is court Hall 15 extends straight line obtained by right bevel edge Hr.But left view rink corner θ a and slope θ l and right field angle θ b and slope θ r also may be used Set different value.For example, the value of left view rink corner θ a (or right field angle θ b) is made to be more than slope θ l (or slope θ r), by This, obtains the large-scale search coverage E0 in the outside for the left bevel edge Hl (or right bevel edge Hr) for being open to door pocket.
Then, search coverage configuration part 22a for example by by the transverse width W0 of hall door 14, straight line B3a, straight line B3b, The region that transverse width W1 and longitudinally wide L3 are surrounded is set as search coverage E0 (step S104).In addition, position deduction region E1 It is set as region identical with search coverage E0.
In turn, the slave hall door 14 in the E1 of position deduction region is for example played longitudinal width by search coverage configuration part 22a Region until degree L4 is set as boarding wish presumption region E2 (step S105).Furthermore boarding wish estimates the transverse direction of region E2 Width W2 can also be set in advance.In this case, can boarding wish region E2 be estimated to be set to for example with transverse width W0 and cross To width W2 be bottom and upper bottom it is trapezoidal without following above-mentioned processing order.
As described above, search coverage configuration part 22a can set search coverage E0, position deduction according to the shape of door pocket Region E1, boarding wish estimate region E2.
Furthermore straight line B3a also can not be by left comer Cl, such as can also be in the outside of left comer Cl.This for straight line B3b and Speech is also the same.In addition, the straight line B3a and straight line B3b on the boundary as search coverage E0 are not limited to straight line, such as also may be used For curve etc..
Fig. 9 is the flow chart for the flow of the boarding detection system 1 for indicating elevator entirely handled.
When cage 11 reaches the hall 15 of arbitrary floor ("Yes" of step S11), car control device 30 is beaten It opens car door 13 and waits for the user (step S12) for taking cage 11.
At this point, by the video camera 12 on the entrance top of cage 11 is set with regulation frame per second (such as 30 frames/ Second) prescribed limit (longitudinally wide L2) in the prescribed limit (longitudinally wide L1) and car of shooting hall side.Image procossing Device 20 obtains the image taken by video camera 12 in temporal sequence, and these images are gradually preserved to (the step of storage part 21 Rapid S13).
Then, in the case that the search coverage E0 of the floor reached in cage 11 is not yet set (step S14's "No"), the search coverage configuration part 22a of user's probe portion 22 executes search coverage setting processing (step S15).Search coverage Explanation had been done in setting processing in Fig. 6 to Fig. 8, therefore was omitted.
Furthermore the search coverage E0 of each floor set by step S15 can also be stored to storage part 21.By This, can be omitted the calculating of the search coverage in the case of reaching same floor after the 22a of search coverage configuration part.It is more specific and Speech, whenever reaching different floors, search coverage configuration part 22a explores storage part 21 first, and whether exploration has been stored with the building The search coverage E0 of layer.In the case where being stored with the search coverage E0 of the floor, search coverage configuration part 22a is in step Search coverage E0 is read and set in S15 from storage part 21, thus without the calculating of search coverage E0.
Then, user's probe portion 22 of image processing apparatus 20 executes following such user's detection processing in real time (step S16).User's detection processing is divided into the processing of the motion detection performed by motion detection portion 22b (step S16-1), position It sets the position deduction performed by presumption unit 22c and handles the boarding that (step S16-2) and boarding wish presumption unit 22d are carried out Wish presumption handles (step S16-3).
First, motion detection portion 22b according to each block to the present image that is stored in storage part 21 and previous image into Row is divided and calculates average brightness value and be compared.As a result, existing in present image has preset value or more Luminance difference block in the case of, block that motion detection portion 22b is judged to the block to have movement.
Later, motion detection portion 22b repeats following action:On one side according to time series sequence with block unit to by The brightness value for each image that video camera 12 takes is compared, and determines whether movement on one side.
Then, position deduction portion 22c has movement according to the result of detection of motion detection portion 22b to extract in present image Area's block in the block, nearest from car door 13.Then, position deduction portion 22c asks the Y coordinate of the block as the foot of user The data of portion position, and store to storage part 21.
Later, position deduction portion 22c seeks the data of the foot position of user and stores to storage part 21.Furthermore The foot position presumption processing not only carried out in the E1 of position presumptive region domain, boarding wish presumption region E2 in similarly into Row.
In turn, boarding wish presumption unit 22d will handle the foot position of the user obtained by above-mentioned position deduction Data smoothing.Furthermore as the method for smoothing, such as usual using mean filter method, Kalman filtering method etc. is people institute The method known, description is omitted herein.
There are the feelings for the data that variable quantity is specified value or more in the data sequence of the foot position after smoothedization Under condition, boarding wish presumption unit 22d is removed the data as outlier.Furthermore above-mentioned specified value is walked by the standard of user The frame per second of scanning frequency degree and shooting image determines.In addition, boarding wish presumption unit 22d can also be put down in the data to foot position It finds out before cunningization and removes outlier.
The result of boarding wish presumption processing is, if being detected with user's ("Yes" of step S17) of boarding wish, User's detectable signal is exported to car control device 30 from image processing apparatus 20.Car control device 30 receives the user Thus detectable signal forbids the shutdown of car door 13 to act and maintain door opening state (step S18).
Specifically, when car door 13 becomes full-gear, the counting that car control device 30 starts opening time is dynamic Make, closes the door at the time point for counting down to stipulated time T minute (such as 1 minute).It is detected with boarding when interior in the meantime The user of wish and when sending user's detectable signal, car control device 30 stops counting action and simultaneously removes count value.By This, maintains the door opening state of car door 13 in a period of above-mentioned time T.Furthermore it detects new having in the meantime to multiply When the user of terraced wish, count value is removed again, and the door opening state of car door 13 is maintained in a period of above-mentioned time T.It should The removing of count value can carry out whenever detecting user, be carried out once alternatively, also can often pass through T minutes.
But if repeatedly thering is user to come cage in a period of above-mentioned time T, sedan-chair can not be all closed forever The situation of compartment door 13 can continue, it is therefore preferable that set allowed time Tx (such as 3 minutes), when having been subjected to this and allowing Between forcibly close car door 13 in the case of Tx.
At the end of above-mentioned time T minutes counting actions (step S19), car control device 30 closes car door 13, Cage 11 is set to set out (step S20) towards purpose floor.
In this way, according to the present embodiment, by utilizing the video camera 12 being arranged on the entrance top of cage 11 Image is parsed obtained by shooting hall 15, such as can be detected from the position slightly remote from cage 11 to car door 13 And in the user come and reflection to door on-off action.
The boarding detection system 1 of the present embodiment crossed as stated above, elevator is examined automatically under elevator use state The left comer Cl and right corner Cr of door pocket are surveyed, and sets the detection of left view rink corner θ a and right field angle θ b according to left comer Cl and right corner Cr Region E0.In addition, the boarding detection system 1 of elevator sets slope (the slope θ of the bevel edge based on door pocket under elevator use state L, slope θ r) search coverage E0.That is, even if the specification in the door pocket of each floor is all different, can also be directed to Each floor sets optimal detection region E0.Thereby, it is possible to provide a kind of deviation for the detection performance inhibiting each floor , the boarding detection system of the elevator of high stability.
The confirmation of specification further, since be automatic setting search coverage E0, therefore when need not dispatch from the factory and elevator are set Setting operation when setting.
It in the present embodiment, can be by the slope (slope θ l, slope θ r) of the bevel edge of door pocket and regarding for search coverage E0 (left view rink corner θ a, right field angle θ b) is set as different value (angle) for rink corner.Thus, it is possible to according to the shape of door pocket and Search coverage E0 is flexibly set for each floor.
Furthermore in the present embodiment, used in the setting of position deduction region E1 and boarding wish presumption region E2 Longitudinally wide L3, L4 and transverse width W1, W2 also can automatically be set according to the environment near the hall 15 of each floor.Example Such as, search coverage configuration part 22a can also detect time ladder automatically according to the image taken by video camera 12, for each floor The depth and width in the Room 15, and stretched according to these data longitudinally wide L3, L4 and transverse width W1, W2.Thereby, it is possible to needles Search coverage E0 is more rightly set to each floor.
Embodiments of the present invention are to be shown as an example, are not intended to limit the range of invention.These are novel Embodiment can be implemented with other various forms, various provinces can be carried out without departing from the spirit of the invention Slightly, it replaces, change.These embodiments and its deformation are included in claim in the scope and spirit of invention In invention and its impartial range described in book.

Claims (3)

1. a kind of boarding detection system of elevator, which is characterized in that have:
Image pickup part, can be near the door of the cage towards the hall when cage arrived hall Direction and shoot prescribed limit;
Search coverage configuration part detects the door pocket of the hall using the image taken by the image pickup part, according to The door pocket sets search coverage;
User's probe portion, using multiple the continuous images in time series taken by the image pickup part, described It is conceived to people in search coverage, whether there is or not the users for having boarding wish to detect for the movement of object;And
Control unit controls the on-off action of the door according to the result of detection of user's probe portion.
2. the boarding detection system of elevator according to claim 1, which is characterized in that
Building that the search coverage configuration part detection constitutes the left and right frame in 3 frames of the door pocket, being contacted with ground The angle of metope side, setting include the search coverage at the angle.
3. the boarding detection system of elevator according to claim 1 or 2, which is characterized in that
The search coverage configuration part detection constitutes the inclination of the medial surface of the left and right frame in 3 frames of the door pocket, according to institute Inclination is stated to set the boundary of the search coverage.
CN201810072843.0A 2017-03-24 2018-01-25 The boarding detection system of elevator Pending CN108622751A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
JP2017-058763 2017-03-24
JP2017058763A JP6377795B1 (en) 2017-03-24 2017-03-24 Elevator boarding detection system

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CN108622751A true CN108622751A (en) 2018-10-09

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JP (1) JP6377795B1 (en)
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HK (1) HK1259470A1 (en)
MY (1) MY187140A (en)
SG (1) SG10201800807RA (en)

Cited By (6)

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