CN105800411A - Device, method and system for measuring elevator motion - Google Patents
Device, method and system for measuring elevator motion Download PDFInfo
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- CN105800411A CN105800411A CN201610231340.4A CN201610231340A CN105800411A CN 105800411 A CN105800411 A CN 105800411A CN 201610231340 A CN201610231340 A CN 201610231340A CN 105800411 A CN105800411 A CN 105800411A
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0037—Performance analysers
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Abstract
The invention discloses a device for measuring an elevator motion. The device comprises a camera arranged on an elevator car, and a target arranged in an elevator hoistway, wherein the camera is used for shooting a target image and sending the target image to a processor; and the processor calculates a motion state of an elevator according to the target image. In addition, the invention further provides corresponding method and system for measuring the elevator motion. The device is high in measuring accuracy based on a visual system.
Description
Technical field
The present invention relates to elevator motion monitoring technology, particularly a kind of measure the device of elevator motion, method and system.
Background technology
Elevator needs the kinestate of elevator is monitored in running, and the parameter of monitoring generally has the speed of elevator cage operation, acceleration etc..Existing monitoring means mainly includes two kinds:
1, adopting and measure system with ladder integral type, during work, measurement system completes to measure as a fixing ingredient of elevator, and its measurement result is displayed by apparatus for controlling elevator derivation to hand-held set or the handheld device that is connected with control system；This system is divided into again the method being converted to car movement velocity by traction machine rotating speed and the method being converted to car movement velocity according to the linear velocity of limiter of speed rotating speed Yu governor rope, both common traits assume that the speed of object of reference and the speed of car are linear relationship, and are considered as obtaining the speed of elevator cab movement by detecting by object of reference speed.
Specifically, when measuring speed, it is detected by the encoder installed on traction machine, encoder is typically mounted on the main shaft of motor, follow motor to rotate together with, encoder constantly sends pulse to master board when rotated, and elevator carrys out the speed of perception elevator according to receiving number of pulses in the unit interval.
When measuring langding accuracy, elevator first passes through the leveling inductor plate in flat bed photoswitch and hoistway to confirm leveling zone, is the langding accuracy that distance controls elevator by the pulses switch of encoder simultaneously.
When detection is rushed to summit, if elevator remains without stopping after leveling zone and continues up operation, elevator can bump against limit switch, at this moment elevator can report elevator " limit switch action " fault, now elevator control panel can force elevator to stop, if now elevator also continues to run up, elevator can bump against limit switch, and safety return circuit disconnects.If at this moment elevator continues to up, then counterweight compression buffer car is rushed to summit.Process at the bottom of the crouching of elevator it is equally applicable to based on above-mentioned same principle.
2, adopt elevator to detect special on-fixed Portable Measurement Instrument, be positioned over cab interior by portable surveying instrument, the display floater of measuring instrument read measurement data.The method is that vibration according to instrument inner sensor calculates car motion, its core feature be instrument relative to car stationary thus with car synchronized movement.
Above two method has two common ground, one be its result be measured as indirect measurement, be namely equal to and calculate car kinestate by measuring object of reference kinestate；Two is both of which is non-view-based access control model.This feature has the disadvantage that, in reality, the motion of object of reference is definitely necessarily equal to the motion of car, especially under extreme operating condition, existing method can cause measurement result untrue, precision is not high.
Whether whether, except the parameter that above-mentioned needs are monitored, in running process of elevator, in addition it is also necessary to monitoring car position, mainly include monitoring car whether flat bed, rush to summit, squat at the end etc., the measuring method that this part adopts is:
Equipped with photoelectric sensor switch and hit bow on car, elevator hoistways inherence level position equipped with leveling inductor plate, rushing to summit, position, the end of squatting equipped with spacing and limit switch, both sides can interact.
1, whether flat bed: when car is in level position, leveling inductor plate causes above-mentioned switch motion, thus judges car whether flat bed.
2, whether rush to summit, squat at the end: car rushes to summit, squat the end time, hit bow and can bump against spacing and limit switch and make switch motion, thus judge whether car is rushed to summit, squatted at the end.
Above-mentioned position monitoring method, can only qualitatively judge the state such as the end, flat bed of rushing to summit, squat, and its accuracy cannot carry out rational judgment, so be unfavorable for accurately controlling elevator running state.And some special trapezoidal are provided with certain limitation (install steel band code-disc in photoswitch or the elevator without magnetic isolation plate all needs to redesign magnetic isolation plate and installs).In addition the parts such as photoelectric sensor switch, leveling inductor plate need long term maintenance, need timely maintenance or replacing once be damaged, and add elevator operation and maintenance cost.
Summary of the invention
The embodiment of the present invention provides a kind of and measures the device of elevator motion, method and system, its view-based access control model system, and accuracy of measurement is high.
First aspect, a kind of device measuring elevator motion, including
Video camera, described video camera is arranged on the elevator car；
Target, described target is arranged in elevator hoistways；
Described video camera is used for shooting target image, and is sent extremely by target image
Processor, described processor calculates the kinestate of elevator according to target image.
Further, described target includes floor position target, and described floor position target is arranged on region corresponding with elevator floor level position in elevator hoistways；Described processor calculates elevator motion speed and/or langding accuracy according to the image of floor position target.
Further, described target also includes the first effect gain target, and described first effect gain target is arranged on region corresponding with the position between two floors in elevator hoistways；Described processor calculates elevator motion speed and/or langding accuracy according to the image of the first effect gain target.
Further, described target includes extreme position target, and described extreme position target includes rushing to summit target and end target of squatting, described in rush to summit the region that target is arranged in elevator hoistways elevator and rushes to summit；Target at the bottom of described crouching is arranged in elevator hoistways elevator squats the region at the end；According to the image of target of rushing to summit, described processor judges whether elevator rushes to summit, according to the image of end target of squatting, described processor judges whether elevator squats at the end.
Further, described target also includes the second effect gain target, described in target of rushing to summit be arranged at least one second effect gain target so that described processor calculates the distance of rushing to summit of elevator according to the image of this second effect gain target；Target at the bottom of described crouching be connected with at least one second effect gain target so that described processor according to this second effect gain target calculate elevator crouching at the bottom of distance.
Further, the figure of described floor position target and the first effect gain target all includes direction character, so that described processor judges the direction of motion of elevator according to described directional characteristic.
Further, the figure of described floor position target also includes position feature, so that described processor judges elevator place floor according to described position feature.
Second aspect, a kind of method measuring elevator motion, including
Video camera shooting target image, and target image is sent to processor, described position for video camera is on lift car, and described target is positioned at the hoistway of elevator；
Processor obtains target image, calculates the kinestate of elevator according to target image.
Further, described acquisition target image, the kinestate calculating elevator according to target image includes
Obtain the pixel number in target image in a time range,
The distance of elevator motion is calculated according to the pixel number obtained, and in conjunction with described Time Calculation elevator motion speed.
Further, described target includes floor position target, and described floor position target is arranged on region corresponding with floor position in elevator hoistways.
Further, described target also includes the first effect gain target, and described first effect gain target is arranged on region corresponding with the position between two floors in elevator hoistways.
Further, described target includes floor position target, and described floor position target is arranged on region corresponding with floor position in elevator hoistways, described acquisition target image, and the kinestate calculating elevator according to target image includes:
After getting floor position target image, it is judged that whether image moves, when image freeze, it is determined that described elevator is parked in flat bed region.
Further, after determining that described elevator is parked in flat bed region, described method also includes:
The target image of acquisition is converted to numerical value, and compares with a threshold value preset, if being not above threshold value, it is determined that langding accuracy is in the reasonable scope；If exceeding described threshold value, then calculate the pixel count beyond part and be converted to distance, exceeding the distance of leveling accuracy position using the distance after conversion as elevator.
Further, described target includes extreme position target, and described extreme position target includes rushing to summit target and end target of squatting, described in rush to summit the region that target is arranged in elevator hoistways elevator and rushes to summit；Target at the bottom of described crouching is arranged in elevator hoistways elevator squats the region at the end；Described acquisition target image, the kinestate calculating elevator according to target image includes:
Acquisition rush to summit target image time, it is determined that elevator is rushed to summit；When obtaining crouching end target image, it is determined that elevator is squatted at the end.
Further, described in rush to summit above target and be provided with the second effect gain target below end target of squatting, described method also includes:
Pixel number according to the second effect gain target image calculates elevator and rushes to summit and squat the distance at the end.
Further, described acquisition target image, the kinestate calculating elevator according to target image includes
Extract the direction character in target image, judge the direction of elevator motion according to direction character.
Further, described target includes floor position target, and described floor position target is arranged on region corresponding with floor position in elevator hoistways, described acquisition target image, and the kinestate calculating elevator according to target image includes:
Extract the floor position feature of floor position target image, it is judged that elevator place floor position.
Further, described acquisition target image, the kinestate calculating elevator according to target image also includes:
The displacement in the horizontal direction of image according to described target position calculation elevator in the horizontal direction.
The third aspect, a kind of system measuring elevator motion, including
Photographing module, shoots target image for video camera, and sends target image to processor, and described position for video camera is on lift car, and described target is positioned at elevator hoistways；And
Computing module, obtains target image for processor, calculates the kinestate of elevator according to target image.
Provided by the invention a kind of measure the device of elevator motion, method and system, have the advantages that
1, the present invention adopts the measuring method of view-based access control model system, directly with elevator originally as measuring object, it is not necessary to the various parts that tradition is measured with ladder, such as photoswitch, travel switch, accelerometer etc..The target that this metering system adopts is made up of pixel, and based on the smallness feature of pixel, when carrying out kinestate calculating with pixel for benchmark, result of calculation is more accurately reliable.
2, can accurately measuring elevator motion status data for a long time, these data combine with elevator associated components fault, inefficacy, malfunctioning data and set up reliable mathematical model relation, it is possible to contribute to realizing elevator faults early warning.
3, flat bed, rush to summit, in end kinestate of squatting determines, it is possible to quantitatively provide trueness error.Existing system can only provide qualitative results for aspects such as flat bed region, motion departure degrees.
Accompanying drawing explanation
A kind of method flow diagram measuring elevator motion that Fig. 1 provides for the embodiment of the present invention 2；
A kind of method flow diagram measuring elevator motion that Fig. 2 provides for the embodiment of the present invention 3；
A kind of method flow diagram measuring elevator motion that Fig. 3 provides for the embodiment of the present invention 4；
A kind of method flow diagram measuring elevator motion that Fig. 4 provides for the embodiment of the present invention 5；
A kind of method flow diagram measuring elevator motion that Fig. 5 provides for the embodiment of the present invention 6；
The structural representation of a kind of system measuring elevator motion that Fig. 6 provides for the embodiment of the present invention 7；
The structural representation of a kind of device measuring elevator motion that Fig. 7 provides for the embodiment of the present invention 1；
Detailed description of the invention
In order to make those skilled in the art be more fully understood that the present invention program, below in conjunction with the drawings and specific embodiments, the present invention is described in further detail.
Embodiment 1
Refer to Fig. 7, present embodiments provide a kind of device measuring elevator motion, this device includes a video camera 2 being arranged on lift car 1 top, the benefit being arranged on top is easy for installing, certain video camera 2 can also be arranged on other suitable positions, also including the target 4 being arranged in elevator hoistways 3, target 4 can be arranged on the borehole wall or the guide rail of hoistway 3, it is also possible to is arranged on other positions that can be photographed by video camera 2.The photographic head of video camera 2 is towards target 4 position, and makes it can completely photograph target 4 image in up and down motion process, even if the shooting area of video camera covers target region.Elevator 1 is in up and down motion process, and video camera 2 constantly shoots target 4 image.Video camera 2 also includes communication module and COM1, for communicating to connect with processor 5, the target image collected is sent to processor 5, processor 5 is after receiving target 4 image, carry out feature extraction and identification, and calculate the kinestate of elevator according to the feature extracted and recognition result.This device is based on vision target 4 is identified, and does not calculate elevator motion state by objects of reference such as sensors, more accurately.Video camera 2 needs fixing at car top and protects intact, and fixing is accurate in order to what measure, and it is one of elevator reparing repair and maintenance working area that protection is based on car roof, should avoid in operation process touching, for video camera, the deviation causing position and direction.The mode of protection can adopt the multiple frame for movement fixed, strengthen, and repeats no more in the present invention.
The figure of composition target 4 is equally spaced by pixel round dot universe in target and forms.Target can be arranged on the diverse location in hoistway, for instance may include that
Floor position target 41, described floor position target 41 region that to be arranged in elevator hoistways corresponding with floor position；Described processor calculates elevator motion speed and/or langding accuracy according to the image of floor position target.The figure of floor position target includes floor identification figure, in order to provide the mark of floor position target place floor, if target patterns can be the base of black, being provided with white E8 graphical representation floor at the bottom of at fast black base is 18 layers, when video camera photographs E8 figure and is sent to processor, E8 figure is identified by processor, it is determined that lift car is in 18 layers.Adopting " E8 " but not " 18 " to be advantageous in that as the floor position graphic feature of 18 layers, the graphic feature of character " E " has more identification for " 1 ", it is possible to avoid system to misread.Additionally the figure of floor position target also includes direction discernment figure, specifically can adopt down and small one and large one two of upper setting white circles.When processor detects that figure is become little white circle from big white circular shape, it is judged that elevator is descending, on the contrary ascending for elevator.
First effect gain target 42, described first effect gain target 42 is arranged on region corresponding with the position between two floors in elevator hoistways, i.e. inter-layer position.First effect gain target 42 can be set in qually spaced in inter-layer position, such as in elevator hoistway between layers, one or more equally spaced first effect gain target can be set, first effect gain target can also be set between the layers continuously, to form target band, which increase the target image quantity that can collect in elevator up and down motion process, reduce the shooting blind area of video camera, making result of calculation seriality better, accuracy is higher.The figure of effect gain target 42 can also include direction discernment figure.
Target also includes extreme position target, concrete, extreme position target includes rushing to summit target 43 and end target 44 of squatting, described in target 43 of rushing to summit be arranged on the top borehole wall or the guide rail of elevator hoistways, target 44 at the bottom of described crouching is arranged on the bottom borehole wall or the guide rail of elevator hoistways.Both have the graphic feature different from other targets, namely distinguish to some extent in appearance, so that processor may determine that its type.The collection of target image of rushing to summit may be used for analyzing kinestate when elevator is rushed to summit, end target of squatting may be used for analyzing elevator squat the end time kinestate, its most basic function is to judge whether elevator rushes to summit or squat at the end.So, it is possible to save the components such as traditional photoswitch, antifreeze plate, and can rush to summit and squat the kinematic parameter at the end by quantitative analysis elevator.
Multiple second effect gain target (not marking in figure) is also set up with the lower section of end target 44 of squatting above target 43 of rushing to summit.Its effect is similar with the first effect gain target arranged between floors.Processor can calculate elevator according to these the second effect gain targets and rush to summit and squat the distance of end process, so that end motion of rushing to summit and squat more comprehensively to be monitored.
The figure of above-mentioned all kinds of target can be endowed different graphic features, so that carrying out classification process during processor identification image.
Embodiment 2
Refer to Fig. 1, the present embodiment provides a kind of method measuring elevator motion, comprises the steps:
S101, video camera shooting target image, and target image is sent to processor, described position for video camera is in the top of lift car, and described target is positioned at elevator hoistways；And
S102, processor obtains target image, calculates the kinestate of elevator according to target image.
Utilize the target image collected from hoistway, the multi-motion state of elevator motion can be measured quantitatively, such as speed, langding accuracy, speed of rushing to summit and distance, crouching low speed degree and distance etc., below for the above-mentioned componental movement parameter enumerated, to S102 image processing process be specifically described.
The method provided in the present embodiment can apply to the device measuring elevator motion of any situation mentioned in embodiment 1, and in order to simplicity describes, the technical scheme relating to hardware components refer to embodiment 1, repeats no more in the present embodiment.
Embodiment 3
The present embodiment launches based on S101 and the S102 in embodiment 2, further describes the measuring method of elevator motion speed, and please in the lump with reference to shown in Fig. 2 on the basis of Fig. 1, step S102 specifically includes:
S201, obtains the pixel number in target image in a time range,
S202, calculates the distance of elevator motion according to the pixel number obtained, and in conjunction with described Time Calculation elevator motion speed.
In running process of elevator, the target image that video camera photographs is made up of pixel, the distance of the more many elevator motions of pixel quantity is also more long, thus can calculate the distance of elevator motion, then namely can obtain elevator motion speed in conjunction with the time in motor process.
At measuring speed at the same time it can also be measure elevator motion direction and place floor position as follows:
S203, extracts the direction character in target image, judges the direction of elevator motion according to direction character.
S204, extracts the floor position feature of floor position target image, it is judged that elevator place floor position.
Target includes floor position target, and floor position target is arranged on region corresponding with floor position in elevator hoistways.The figure of target includes floor identification figure, in order to provide the mark of floor position target place floor, if target patterns can be the substrate of black, being provided with white E8 graphical representation floor at the bottom of at fast black base is 18 layers, when video camera photographs E8 figure and is sent to processor, E8 figure is identified by processor, it is determined that elevator is in 18 layers.Additionally the figure of floor position target also includes direction discernment figure, specifically can adopt down and small one and large one two of upper setting white circles.When processor detects that figure is become little white circle from big white circular shape, it is judged that elevator is descending, on the contrary ascending for elevator.
Described target also includes the first effect gain target, the described first effect gain target region that to be arranged in elevator hoistways corresponding with the position between two floors.First effect gain target can be set in qually spaced in inter-layer position, such as in elevator hoistway between layers, one or more equally spaced first effect gain target can be set, can certainly continuously from arrange to form target band continuously, which increase the target image quantity that can collect in elevator up and down motion process, reduce the shooting blind area of video camera, make result of calculation seriality better, accuracy is higher, achieve the gain of measurement effect, because of referred to herein as effect gain target.The figure of the first effect gain target can also include direction discernment figure.
In addition; the present embodiment can be combined with speed and monitors " car accidental movement situation "; described car accidental movement situation refers to that elevator is after stopping and elevator door are opened; there occurs obvious movement; this obvious movement is different from very slowly moves to revise small leveling error; it is a kind of peril, it is necessary to it is monitored.This function can be realized by following method:
In lift car or hoistway or other positions one elevator switch door induction apparatus is set, it is possible to for sensing the open and close state of elevator door.Based on this hardware, the method for the present embodiment also includes:
S205, when detecting that elevator door is opened, compares the elevator motion speed in this moment and a threshold velocity, if it exceeds described threshold velocity, it is determined that elevator generation accidental movement accident.
Embodiment 4
The present embodiment launches based on S101 and the S102 in embodiment 2, further describes the measuring method of langding accuracy, and please in the lump with reference to shown in Fig. 3 on the basis of Fig. 1, step S102 specifically includes:
S301, get floor position target image after, it is judged that whether image moves, when image freeze, it is determined that described elevator is parked in flat bed region.
In Elevator landing process, the movement velocity of elevator can slow down gradually to 0, and the image that now video camera photographs no longer moves, and the quantity of image slices vegetarian refreshments is without changing again, and processor is on this basis, it may be determined that elevator completes the action of flat bed.
S302, the target image of acquisition is converted to numerical value, and compares with a threshold value preset, if being not above threshold value, it is determined that langding accuracy is in the reasonable scope；If exceeding described threshold value, then calculate the pixel count beyond part and be converted to distance, exceeding the distance of leveling accuracy position using the distance after conversion as elevator.
After execution of step S301, may only judge whether flat bed completes elevator, and the precision of flat bed can not be judged.By step S302, it is possible to the static target image photographed after flat bed is converted to numerical value, for instance calculate pixel number or area.Then described numerical value is compared with the standard figures (threshold value) preset.Described threshold value is that the image completing should photograph when flat bed stops in standard parking area according to elevator is calculated.When described numerical value is not above threshold value, it is determined that langding accuracy in the reasonable scope, if exceeding threshold value, then can calculate the error of langding accuracy according to the part exceeded.
Embodiment 5
The present embodiment launches based on S101 and the S102 in embodiment 2, further describes the measuring method of end kinestate of rushing to summit and squat, and please in the lump with reference to shown in Fig. 4 on the basis of Fig. 1, step S102 specifically includes:
S401, obtain rush to summit target image time, it is determined that elevator is rushed to summit；
S402, when obtaining crouching end target image, it is determined that elevator is squatted at the end；
Target of rushing to summit is be arranged on elevator hoistways to rush to summit the target in region, and end target of squatting is the target being arranged on territory, elevator hoistways crouching base area, and both have the pattern identification different from common floor position target, so that it makes a distinction.When processor receives and rushes to summit and squat end target image, identify its mark, it is determined that elevator is in end state of rushing to summit or squat.
As further improvement, being provided with multiple second effect gain target above target of rushing to summit and below end target of squatting, on this basis, described method also includes:
S403, the distance at the end of rushing to summit according to the pixel number of the second effect gain target image calculating elevator and squat.
When video camera has just photographed and rushed to summit target and crouching end target, processor is merely able to judge the action whether elevator is made that the end of rushing to summit or squat, it is impossible to know other kinematic parameters rushing to summit or squatting in end process.By step S403, video camera shoots the second effect gain target being positioned at above target of rushing to summit or below end target of squatting further, the distance that in end process of rushing to summit and squat, elevator moves can be calculated, know that elevator is rushed to summit and squat the degree of end fault more accurately.
Embodiment 6
The present embodiment launches based on S101 and the S102 in embodiment 2, further describes the measuring method of elevator displacement in the horizontal direction, and please with further reference to shown in Fig. 5 on the basis of Fig. 1, step S102 specifically includes:
S501, according to the displacement in the horizontal direction of the image of described target position calculation elevator in the horizontal direction.Wherein, this target can be any one target in embodiment 1-5.
Elevator is under normal kinestate, it may be that strictly along vertical motion in hoistway.But owing to the reasons such as small vibrations can make elevator be subjected to displacement in the horizontal direction, once horizontal displacement exceedes safety range, will run to elevator and bring potential safety hazard.In the present embodiment, processor, by the target image obtained is carried out position analysis judgement, calculates the deviation of itself and the target image position of standard, and then judges elevator displacement in the horizontal direction.
Embodiment 7
Refer to Fig. 6, the present embodiment provides a kind of system measuring elevator motion, including
Photographing module 601, shoots target image for video camera, and sends target image to processor, and described position for video camera is on lift car, and described target is positioned at elevator hoistways；And
Computing module 602, obtains target image for processor, calculates the kinestate of elevator according to target image.
Wherein, any target that described photographing module includes in embodiment 1～6 for the target shot；
Described computing module is specifically for performing arbitrary kinestate computational methods in embodiment 2～6.
Above the device of measurement elevator motion provided by the present invention, method and system are described in detail.Principles of the invention and embodiment are set forth by specific case used herein, and the explanation of above example is only intended to help to understand the core concept of the present invention.It should be pointed out that, for those skilled in the art, under the premise without departing from the principles of the invention, it is also possible to the present invention carries out some improvement and modification, these improve and modify in the protection domain also falling into the claims in the present invention.
Claims (19)
1. the device measuring elevator motion, it is characterised in that include
Video camera, described video camera is arranged on the elevator car；
Target, described target is arranged in elevator hoistways；
Described video camera is used for shooting target image, and is sent extremely by target image
Processor, described processor calculates the kinestate of elevator according to target image.
2. the device measuring elevator motion as claimed in claim 1, it is characterised in that described target includes floor position target, and described floor position target is arranged on region corresponding with elevator floor level position in elevator hoistways；Described processor calculates elevator motion speed and/or langding accuracy according to the image of floor position target.
3. the device measuring elevator motion as claimed in claim 2, it is characterised in that described target also includes the first effect gain target, and described first effect gain target is arranged on region corresponding with the position between two floors in elevator hoistways；Described processor calculates elevator motion speed and/or langding accuracy according to the image of the first effect gain target.
4. the as claimed in claim 2 device measuring elevator motion, it is characterised in that described target includes extreme position target, described extreme position target includes rush to summit target and end target of squatting, described in rush to summit the region that target is arranged in elevator hoistways elevator and rushes to summit；Target at the bottom of described crouching is arranged in elevator hoistways elevator squats the region at the end；According to the image of target of rushing to summit, described processor judges whether elevator rushes to summit, according to the image of end target of squatting, described processor judges whether elevator squats at the end.
5. the device measuring elevator motion as claimed in claim 4, it is characterized in that, described target also includes the second effect gain target, described target of rushing to summit is arranged at least one second effect gain target, so that described processor calculates the distance of rushing to summit of elevator according to the image of this second effect gain target；Target at the bottom of described crouching be connected with at least one second effect gain target so that described processor according to this second effect gain target calculate elevator crouching at the bottom of distance.
6. the device measuring elevator motion as claimed in claim 3, it is characterised in that the figure of described floor position target and the first effect gain target all includes direction character, so that described processor judges the direction of motion of elevator according to described directional characteristic.
7. the device measuring elevator motion as claimed in claim 3, it is characterised in that the figure of described floor position target also includes position feature, so that described processor judges elevator place floor according to described position feature.
8. the method measuring elevator motion, it is characterised in that including:
Video camera shooting target image, and target image is sent to processor, described position for video camera is on lift car, and described target is positioned at the hoistway of elevator；
Processor obtains target image, calculates the kinestate of elevator according to target image.
9. the method measuring elevator motion as claimed in claim 8, it is characterised in that described acquisition target image, the kinestate calculating elevator according to target image includes
Obtain the pixel number in target image in a time range,
The distance of elevator motion is calculated according to the pixel number obtained, and in conjunction with described Time Calculation elevator motion speed.
10. the method measuring elevator motion as claimed in claim 9, it is characterised in that described target includes floor position target, and described floor position target is arranged on region corresponding with floor position in elevator hoistways.
11. the method measuring elevator motion as claimed in claim 10, it is characterised in that described target also includes the first effect gain target, described first effect gain target is arranged on region corresponding with the position between two floors in elevator hoistways.
12. the method measuring elevator motion as claimed in claim 8, it is characterized in that, described target includes floor position target, described floor position target is arranged on region corresponding with floor position in elevator hoistways, described acquisition target image, the kinestate calculating elevator according to target image includes:
After getting floor position target image, it is judged that whether image moves, when image freeze, it is determined that described elevator is parked in flat bed region.
13. the method measuring elevator motion as claimed in claim 12, it is characterised in that after determining that described elevator is parked in flat bed region, described method also includes:
The target image of acquisition is converted to numerical value, and compares with a threshold value preset, if being not above threshold value, it is determined that langding accuracy is in the reasonable scope；If exceeding described threshold value, then calculate the pixel count beyond part and be converted to distance, exceeding the distance of leveling accuracy position using the distance after conversion as elevator.
14. the method measuring as claimed in claim 8 elevator motion, it is characterised in that described target includes extreme position target, described extreme position target includes rush to summit target and end target of squatting, described in rush to summit the region that target is arranged in elevator hoistways elevator and rushes to summit；Target at the bottom of described crouching is arranged in elevator hoistways elevator squats the region at the end；Described acquisition target image, the kinestate calculating elevator according to target image includes:
Acquisition rush to summit target image time, it is determined that elevator is rushed to summit；When obtaining crouching end target image, it is determined that elevator is squatted at the end.
15. the method measuring as claimed in claim 14 elevator motion, it is characterised in that described in rush to summit above target and be provided with the second effect gain target below end target of squatting, described method also includes:
Pixel number according to the second effect gain target image calculates elevator and rushes to summit and squat the distance at the end.
16. the method measuring elevator motion as claimed in claim 8, it is characterised in that described acquisition target image, the kinestate calculating elevator according to target image includes
Extract the direction character in target image, judge the direction of elevator motion according to direction character.
17. the method measuring elevator motion as claimed in claim 8, it is characterized in that, described target includes floor position target, described floor position target is arranged on region corresponding with floor position in elevator hoistways, described acquisition target image, the kinestate calculating elevator according to target image includes:
Extract the floor position feature of floor position target image, it is judged that elevator place floor position.
18. the method measuring elevator motion as described in as arbitrary in claim 8-17, it is characterised in that described acquisition target image, the kinestate calculating elevator according to target image also includes:
The displacement in the horizontal direction of image according to described target position calculation elevator in the horizontal direction.
19. the system measuring elevator motion, it is characterised in that include
Photographing module, shoots target image for video camera, and sends target image to processor, and described position for video camera is on lift car, and described target is positioned at elevator hoistways；And
Computing module, obtains target image for processor, calculates the kinestate of elevator according to target image.
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