CN105668360A - Automatic elevator parameter learning method - Google Patents
Automatic elevator parameter learning method Download PDFInfo
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- CN105668360A CN105668360A CN201610156242.9A CN201610156242A CN105668360A CN 105668360 A CN105668360 A CN 105668360A CN 201610156242 A CN201610156242 A CN 201610156242A CN 105668360 A CN105668360 A CN 105668360A
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3407—Setting or modification of parameters of the control system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B2201/00—Aspects of control systems of elevators
- B66B2201/40—Details of the change of control mode
- B66B2201/402—Details of the change of control mode by historical, statistical or predicted traffic data, e.g. by learning
Abstract
The invention relates to an automatic elevator parameter learning method which is used for learning parameters of an elevator for a two-floor building. The parameters comprise at least one out of the floor distance, the distance between leveling sensors, the lengths of leveling magnetism shielding plates and the positions of upper and lower limiting switches. The method includes the following steps that the elevator is made to operate from a lower limit position to an upper limit position, the lower limit position is a bottom wire protecting position for preventing the elevator from collapsing to the bottom of a pit, and the upper limit position is a top wire protecting position for preventing the elevator from colliding with the top; when corresponding parameter learning starting signals are detected, the elevator operation positions start to be recorded in real time until corresponding parameter learning stopping signals are detected; and the corresponding parameters are worked out according to the elevator operation positions recorded between the starting signals and the stopping signals. The automatic elevator parameter learning method can be applied to a two-floor building elevator environment with space limited, can automatically learn the relevant elevator parameters, is simple and convenient and saves time and labor.
Description
Technical field
The present invention relates to elevator technology field, particularly relate to a kind of automatic learning method of elevator parameter.
Background technology
The most elevators used in existing market are all that the absolute location according to elevator carries out on off control, and this kind of control method generally all needs to carry out elevator floor Parameter Self-learning.
During for only two floors, owing to being limited to spacial influence, elevator is descending when encountering lower limit position, and only lower flat layer signal can depart from the scope of blocking that flat layer hides magnetic plate, and upper flat layer signal is also positioned at flat layer and hides magnetic plate and block scope; And ascending for elevator is when encountering upper limit position, only going up flat layer signal and can depart from the scope of blocking that flat layer hides magnetic plate, lower flat layer signal is also positioned at flat layer and hides magnetic plate and block scope; So partial parameters such as floor distance, flat layer inductor block spacing, flat layer screening magnetic plate length and upper and lower limit-switch positions cannot be learnt automatically by elevator, it is necessary to artificial manual input, waste time and energy.
Summary of the invention
Based on this, it is necessary to provide the method for a kind of floor distance, flat layer inductor block spacing, flat layer screening magnetic plate length and the upper and lower limit-switch positions that can automatically learn in two floor elevators.
A kind of automatic learning method of elevator parameter, for learning the parameter of two floor elevators, described parameter comprises at least one in floor distance, flat layer inductor block spacing, flat layer screening magnetic plate length and upper and lower limit-switch positions, and described method comprises the steps:
Elevator is run from lower position to upper limit position; Described lower position is the bottom line protective position preventing the elevator crouching end, and described upper limit position is the top line protective position preventing elevator from rushing to summit;
When corresponding parameter learning commencing signal being detected, start real time record elevator travel position, until corresponding parameter learning stop signal being detected;
According to the elevator travel position of described commencing signal and the interocclusal record of stop signal, calculate corresponding parameter.
A kind of automatic learning method of elevator parameter, for learning the parameter of two floor elevators, described parameter comprises floor distance, flat layer inductor block spacing, flat layer hide magnetic plate length and upper and lower limit-switch positions, and described method comprises the steps:
Elevator is run from lower position to upper limit position;Described lower position is the bottom line protective position preventing the elevator crouching end, and described upper limit position is the top line protective position preventing elevator from rushing to summit;
When detecting that lower position switch signal is from when effectively turning into invalid, using current elevator position as lower position switch position;
Afterwards, when detect lower flat layer signal first from invalid turn into effective time, floor distance parameter is reset, and the encoder pulse starting the motor shaft to elevator carries out the first counting process; When again detect lower flat layer signal from invalid turn into effective time, using the first counting process accumulates acquisition the first pulse counting as floor distance parameter;
In the process of detection floor distance parameter, detect lower flat layer signal first from invalid turn into effective time, flat layer is hidden magnetic plate length parameter and resets, and the encoder pulse starting the motor shaft to elevator carries out the 2nd counting process; When detecting that lower flat layer signal is from, when effectively turning into invalid, as flat layer, the 2nd pulse counting accumulating acquisition in the 2nd counting process being hidden magnetic plate length parameter;
When detecting the end of processing of floor distance parameter, flat layer inductor block spacing parameter is reset, and the encoder pulse starting the motor shaft to elevator carries out the 3rd counting process; When detect upper flat layer signal from invalid turn into effective time, using the 3rd counting process accumulates acquisition the 3rd pulse counting as flat layer inductor block spacing parameter;
Afterwards, when detect upper limit position switch signal from invalid turn into effective time, using current elevator position as upper limit position switch position.
The above-mentioned automatic learning method of elevator parameter, by arranging study commencing signal and terminate signal and detect elevator position in real time, it is possible to apply in by two floor elevator environment of space constraint, can automatically learn relevant elevator parameter, simple and convenient, time saving and energy saving.
Accompanying drawing explanation
Fig. 1 is two floor elevator operating structure simplified diagram;
Fig. 2 is the automatic learning method schema of elevator parameter of an embodiment;
Fig. 3 is the floor distance automatic learning method schema of parameter of elevator;
Fig. 4 is the flat layer automatic learning method schema of inductor block spacing parameter of elevator;
Fig. 5 is the first automatic learning method schema of the flat layer screening magnetic plate length parameter of elevator;
Fig. 6 is the 2nd kind of automatic learning method schema of the flat layer screening magnetic plate length parameter of elevator;
Fig. 7 is the automatic learning method schema of bound bit switch location parameter of elevator;
Fig. 8 is the automatic learning method schema of elevator parameter of another specific embodiment;
Fig. 9 is flat layer sensor location and the graph of a relation of time.
Embodiment
It is further described below in conjunction with drawings and Examples.
The automatic learning method of elevator parameter of following examples is mainly used in the parameter learning of two floor elevators, because two floors exist the limited situation of running space, has some parameters cannot automatically learn according to the conventional method. The method provided according to following examples, then can realize the automatic study of these parameters, it is not necessary to manually participate in, time saving and energy saving.
Fig. 1 is two floor elevator operating structure simplified diagram.
As shown in Figure 1, lift car 201 operates in two floor space (the first floor space 101, the 2nd floor space 102). In the predetermined position, bottom of the first floor space 101, it is provided with lower position switch 103, for when elevator position arrives this position, starting protection, prevents elevator from squatting at the end. In the predetermined position, top of the 2nd floor space 102, it is provided with upper limit position switch 104, for when elevator position arrives this position, starting protection, prevents elevator from rushing to summit.
In each floor space, it is equipped with a flat layer and hides magnetic plate 105. The top of lift car 201 is provided with two flat layer inductor blocks 202,203. Two flat layer inductor blocks 202,203 each other in the vertical direction be spaced a distance, the two all arrive flat layer hide in the scope of magnetic plate 105 time, apparatus for controlling elevator can know arrival level position. It should be noted that, it is a habitual appellation that flat layer hides magnetic plate, because most of flat layer inductor block is all adopt magnetic signal to realize the detection of flat layer, but does not get rid of and uses other signals, such as infrared signal, realizes the means of flat layer detection.
Based on above-mentioned elevator operating structure, below provide the automatic learning method of elevator parameter of an embodiment.
As shown in Figure 2, the method comprises the steps:
Step S100: elevator is run from lower position to upper limit position. Elevator, when carrying out parameter and automatically learn, is in a kind of special operational mode, is not common carrying or operational mode during loading. In this operating mode, starting in time learning, control elevator moves from the position of lower position switch 103, till it moves to the position of upper limit position switch 104, and as required, sometimes remains at the uniform velocity in operational process. Described lower position is the bottom line protective position preventing the elevator crouching end, triggers protection by aforesaid lower position switch 103; Described upper limit position is the top line protective position preventing elevator from rushing to summit, and triggers protection by aforesaid upper limit position switch 104.
Step S200: when corresponding parameter learning commencing signal being detected, starts real time record elevator travel position, until corresponding parameter learning stop signal being detected. The method of the present embodiment is applicable to study floor distance, flat layer inductor block spacing, flat layer hide the parameter such as magnetic plate length and upper and lower limit-switch positions. Often kind of parameter all has corresponding parameter learning commencing signal and parameter learning stop signal, is used for making apparatus for controlling elevator is known when start, when terminated.
Specifically, the method of described real time record elevator travel position can comprise: starts when self-inspection measures described parameter learning commencing signal, encoder pulse on the motor shaft of elevator is counted, and the counting value according to described encoder pulse calculates elevator travel position.
Step S300: according to the elevator travel position of described commencing signal and the interocclusal record of stop signal, calculates corresponding parameter.
The automatic learning method of various elevator parameter will be described in several concrete enforcement modes below.
(1) floor distance parameter is learnt
When described parameter is floor distance, in simple terms, exactly so that step shown in Fig. 2 to have been got parameter learning commencing signal and parameter learning stop signal, and perform by step. Wherein, described parameter learning commencing signal is: lower flat layer signal turns into effectively from invalid first; Described parameter learning stop signal is: lower flat layer signal turns into effectively from invalid again.
With reference to Fig. 3, automatic learning method comprises the steps:
Step S101: elevator is run from lower position to upper limit position. Similar with above-mentioned steps S100, speed can regulate as required.
Step S102: when detect lower flat layer signal first from invalid turn into effective time, start real time record elevator travel position, until detecting that lower flat layer signal turns into effectively from invalid again.
Step S103: calculate floor distance parameter.
(2) flat layer inductor block spacing parameter is learnt
When described parameter is flat layer inductor block spacing, in simple terms, exactly so that step shown in Fig. 2 to have been got parameter learning commencing signal and parameter learning stop signal, and perform by step.Wherein, described parameter learning commencing signal is: upper flat layer signal turns into effectively from invalid; Described parameter learning stop signal is: lower flat layer signal turns into effectively from invalid.
With reference to Fig. 4, automatic learning method comprises the steps:
Step S201: elevator is run from lower position to upper limit position. Similar with above-mentioned steps S100, speed can regulate as required.
Step S202: when detect upper flat layer signal from invalid turn into effective time, start real time record elevator travel position, until detecting that lower flat layer signal turns into effectively from invalid.
Step S203: calculate flat layer inductor block spacing parameter.
(3) learn flat layer and hide magnetic plate length parameter
When described parameter is flat layer screening magnetic plate length, in simple terms, exactly so that step shown in Fig. 2 to have been got parameter learning commencing signal and parameter learning stop signal, and perform by step. Flat layer hides magnetic plate length parameter and can learn in the first floor space 101, it is also possible to learns in the 2nd floor space 102, therefore can have two groups of corresponding parameter learning commencing signals and parameter learning stop signal.
First group is: described parameter learning commencing signal is: lower flat layer signal turns into effectively from invalid; Described parameter learning stop signal is: lower flat layer signal is invalid from effectively turning into.
2nd group is: described parameter learning commencing signal is: upper flat layer signal turns into effectively from invalid; Described parameter learning stop signal is: upper flat layer signal is invalid from effectively turning into.
For adopting first group of corresponding parameter learning commencing signal and parameter learning stop signal, with reference to Fig. 5, automatic learning method comprises the steps:
Step S301: elevator is run from lower position to upper limit position. Similar with above-mentioned steps S100, speed can regulate as required.
Step S302: when detect lower flat layer signal from invalid turn into effective time, start real time record elevator travel position, until detecting that lower flat layer signal is invalid from effectively turning into.
Step S303: calculate flat layer and hide magnetic plate length parameter.
For employing the 2nd group of corresponding parameter learning commencing signal and parameter learning stop signal, with reference to Fig. 6, automatic learning method comprises the steps:
Step S401: elevator is run from lower position to upper limit position. Similar with above-mentioned steps S100, speed can regulate as required.
Step S402: when detect upper flat layer signal from invalid turn into effective time, start real time record elevator travel position, until detecting that flat layer signal is invalid from effectively turning into.
Step S403: calculate flat layer and hide magnetic plate length parameter.
(4) lower position switch location parameter in study
When described parameter is lower position switch location parameter, described parameter learning commencing signal is identical with parameter learning stop signal, is lower position switch signal invalid from effectively turning into; When described parameter is upper limit position switch location parameter, described parameter learning commencing signal is identical with parameter learning stop signal, is upper limit position switch signal and turns into effectively from invalid.
With reference to Fig. 7, automatic learning method comprises the steps:
Step S501: elevator is run from lower position to upper limit position. Similar with above-mentioned steps S100, speed can regulate as required.
Step S502: when detecting that lower position switch signal is from, when effectively turning into invalid, recording elevator travel position. Using current elevator travel position as lower position switch position.
Step S503: when detect upper limit position switch signal from invalid turn into effective time, record elevator travel position. Using current elevator travel position as upper limit position switch position.
The various embodiments described above, for the process of independent parameter learning, describe the automatic learning process of each parameter, that is, when learning single parameter, do not consider that whether other parameters are in study.It can be appreciated that above-mentioned several parameter can in single or multiple operational process, participation or together participation in learning separately.
Following examples will illustrate the opportunity that each parameter learns in this operational process and treatment process with once complete operational process.
Composition graphs 8 and Fig. 9, the method for this embodiment comprises the following steps. Fig. 9 is in running process of elevator, and the position Y of two flat layer inductor block in the vertical directions is about the relation of time T. In fig .9, the lower end position of y0 to be lower position (not being the position of lower position switch 103), y1 the be flat layer in the first floor space 101 hides magnetic plate 105, y2 be that the flat layer in the first floor space 101 hides the upper end position of magnetic plate 105, y3 be that the flat layer in the 2nd floor space 102 hides the lower end position of magnetic plate 105, y4 is upper limit position.
Step S601: elevator is run from lower position to upper limit position; Described lower position is the bottom line protective position preventing the elevator crouching end, and described upper limit position is the top line protective position preventing elevator from rushing to summit. Elevator, when carrying out parameter and automatically learn, is in a kind of special operational mode, is not common carrying or operational mode during loading. In this operating mode, starting in time learning, control elevator moves from the position of lower position switch 103, till it moves to the position of upper limit position switch 104, and as required, sometimes remains at the uniform velocity in operational process. Described lower position is the bottom line protective position preventing the elevator crouching end, triggers protection by aforesaid lower position switch 103; Described upper limit position is the top line protective position preventing elevator from rushing to summit, and triggers protection by aforesaid upper limit position switch 104. In the present embodiment, obtain elevator position with the encoder pulse count of the motor shaft of elevator, it is preferable that elevator is at the uniform velocity run all the time.
Step S602: when detecting that lower position switch signal is from when effectively turning into invalid, using current elevator position as lower position switch position. Now, " position 1 " that flat layer inductor block is in Fig. 9.
Elevator continues to run.
Step S603: when detect lower flat layer signal first from invalid turn into effective time, floor distance parameter is reset, and the encoder pulse starting the motor shaft to elevator carries out the first counting process.
Meanwhile, flat layer is hidden magnetic plate length parameter and resets, and the encoder pulse starting the motor shaft to elevator carries out the 2nd counting process. Now, " position 2 " that flat layer inductor block is in Fig. 9.
Elevator continues to run.
Step S604: when detecting that lower flat layer signal is from, when effectively turning into invalid, as flat layer, the 2nd pulse counting accumulating acquisition in the 2nd counting process being hidden magnetic plate length parameter. Now, " position 3 " that flat layer inductor block is in Fig. 9.
Step S605: when detect upper flat layer signal from invalid turn into effective time, flat layer inductor block spacing parameter is reset, and the encoder pulse starting the motor shaft to elevator carries out the 3rd counting process. Now, " position 4 " that flat layer inductor block is in Fig. 9.
Elevator continues to run.
Step S606: when again detect lower flat layer signal from invalid turn into effective time, using the first counting process accumulates acquisition the first pulse counting as floor distance parameter. Now detect the end of processing of floor distance parameter. Flat layer inductor block is in " position 5 " in Fig. 9.
Meanwhile, using the 3rd counting process accumulates acquisition the 3rd pulse counting as flat layer inductor block spacing parameter.
Elevator continues to run.
Step S607: when detect upper limit position switch signal from invalid turn into effective time, using current elevator position as upper limit position switch position. Flat layer inductor block is in " position 6 " in Fig. 9.
After step S607 terminates, it is possible to obtain floor distance, flat layer hide magnetic plate length, flat layer inductor block spacing and upper and lower whole four parameters of limit-switch positions.
Above-mentioned treatment scheme, in whole service process, parameter learns there is not any obstacle automatically. For the object that acquisition of information or guarantee process safety carry out, it is possible to add the step of fault handling in above-mentioned flow process.
The step of fault handling comprise the treatment step of following report Fisrt fault, report the 2nd fault, report the 3rd fault, report the 4th fault, report the 5th fault and report the 6th fault one of at least.
From step S602, Parameter Self-learning starts, if lower position switch signal is invalid, then reports Fisrt fault and stops from study. Being move from lower position switch due to elevator, start after study, it should be to detect that lower position switch signal is effective, if detecting invalid, then showing lower position switch fault.
From step S603, progressively start to learn floor distance parameter, flat layer screening magnetic plate length parameter peace layer inductor block spacing parameter.
If range ability is more than the first predeterminable range, and meets the following conditions, then reports the 2nd fault and stop from study: (1) upper flat layer signal is not invalid from effectively turning into from start to finish; (2) under, flat layer signal does not occur from start to finish from invalid turning into effectively, turn into invalid change procedure again.
When elevator is from starting, upper flat layer inductor block 203 is positioned at flat layer screening magnetic plate and blocks scope, and upper flat layer signal is effective; Down flat layer inductor block 202 be positioned at flat layer hide magnetic plate block outside scope, lower flat layer signal is invalid. If range ability is more than the first predeterminable range, this distance is set to 1 meter usually, and upper flat layer signal is remained valid and do not changed, then show upper flat layer inductor block 203 fault.
With reason, if range ability is more than the first predeterminable range, and lower flat layer inductor block 202 does not produce to be put down layer and hides magnetic plate 105 and first block, after depart from again and block this kind of change, then show lower flat layer inductor block 202 fault.
Need report the 2nd fault, i.e. flat layer inductor block fault up and down.
In learning process, if floor distance parameter is less than the 2nd predeterminable range, report the 3rd fault and stopping study certainly. 2nd predeterminable range is generally 50 centimetres. After step S606 detects floor distance parameter, by it compared with the 2nd predeterminable range, if being less than the 2nd predeterminable range, then show that floor distance is excessively little, report the 3rd fault.
In learning process, if flat layer hides magnetic plate length is greater than the 3rd predeterminable range, report the 4th fault and stopping are from learning. 3rd predeterminable range is generally 70 centimetres. After detecting that flat layer hides magnetic plate length parameter in step s 604, by it compared with the 3rd predeterminable range, if being greater than the 3rd predeterminable range, then show that flat layer hides magnetic plate length and crosses long or mistake occur, report the 4th fault.
In learning process, if flat layer inductor block spacing is greater than the 4th predeterminable range, report the 5th fault and stopping are from study. 4th predeterminable range is generally 70 centimetres. After step S606 detects flat layer inductor block spacing parameter, by it compared with the 4th predeterminable range, if being greater than the 4th predeterminable range, then show that flat layer inductor block spacing is excessive or mistake occurs, report the 5th fault.
After step S606, if not detecting, upper limit position switch signal turns into effectively from invalid, then report the 6th fault and stop from study. Ought to detecting after step S606 that upper limit position switch signal turned into effectively, if not detecting, then showing upper limit position switch signal generation fault, report the 6th fault.
The above-mentioned automatic learning method of elevator parameter, it is possible to apply in by two floor elevator environment of space constraint, can automatically learn relevant elevator parameter, simple and convenient, time saving and energy saving.
Each technology feature of the above embodiment can combine arbitrarily, for making description succinct, each all possible combination of technology feature in above-described embodiment is not all described, but, as long as the combination of these technology features does not exist contradiction, all it is considered to be the scope that this specification sheets is recorded.
The above embodiment only have expressed several enforcement modes of the present invention, and it describes comparatively concrete and detailed, but can not therefore be construed as limiting the scope of the patent. , it is also possible to make some distortion and improvement, it should be appreciated that for the person of ordinary skill of the art, without departing from the inventive concept of the premise these all belong to protection scope of the present invention. Therefore, the protection domain of patent of the present invention should be as the criterion with claims.
Claims (10)
1. the automatic learning method of elevator parameter, for learning the parameter of two floor elevators, described parameter comprises at least one in floor distance, flat layer inductor block spacing, flat layer screening magnetic plate length and upper and lower limit-switch positions, and described method comprises the steps:
Elevator is run from lower position to upper limit position; Described lower position is the bottom line protective position preventing the elevator crouching end, and described upper limit position is the top line protective position preventing elevator from rushing to summit;
When corresponding parameter learning commencing signal being detected, start real time record elevator travel position, until corresponding parameter learning stop signal being detected;
According to the elevator travel position of described commencing signal and the interocclusal record of stop signal, calculate corresponding parameter.
2. the automatic learning method of elevator parameter according to claim 1, it is characterized in that, described elevator at the uniform velocity runs, then the method for described real time record elevator travel position comprises: start when self-inspection measures described parameter learning commencing signal, encoder pulse on the motor shaft of elevator is counted, and the counting value according to described encoder pulse calculates elevator travel position.
3. the automatic learning method of elevator parameter according to claim 1, it is characterised in that, when described parameter is floor distance,
Described parameter learning commencing signal is: lower flat layer signal turns into effectively from invalid first;
Described parameter learning stop signal is: lower flat layer signal turns into effectively from invalid again.
4. the automatic learning method of elevator parameter according to claim 1, it is characterised in that, when described parameter is flat layer inductor block spacing,
Described parameter learning commencing signal is: upper flat layer signal turns into effectively from invalid;
Described parameter learning stop signal is: lower flat layer signal turns into effectively from invalid.
5. the automatic learning method of elevator parameter according to claim 1, it is characterised in that, when described parameter is flat layer screening magnetic plate length,
Described parameter learning commencing signal is: lower flat layer signal turns into effectively from invalid;
Described parameter learning stop signal is: lower flat layer signal is invalid from effectively turning into.
6. the automatic learning method of elevator parameter according to claim 1, it is characterised in that, when described parameter is flat layer screening magnetic plate length,
Described parameter learning commencing signal is: upper flat layer signal turns into effectively from invalid;
Described parameter learning stop signal is: upper flat layer signal is invalid from effectively turning into.
7. the automatic learning method of elevator parameter according to claim 1, it is characterized in that, when described parameter is lower position switch location parameter, described parameter learning commencing signal is identical with parameter learning stop signal, is lower position switch signal invalid from effectively turning into;
When described parameter is upper limit position switch location parameter, described parameter learning commencing signal is identical with parameter learning stop signal, is upper limit position switch signal and turns into effectively from invalid.
8. the automatic learning method of elevator parameter, for learning the parameter of two floor elevators, described parameter comprises floor distance, flat layer inductor block spacing, flat layer hide magnetic plate length and upper and lower limit-switch positions, and described method comprises the steps:
Elevator is run from lower position to upper limit position; Described lower position is the bottom line protective position preventing the elevator crouching end, and described upper limit position is the top line protective position preventing elevator from rushing to summit;
When detecting that lower position switch signal is from when effectively turning into invalid, using current elevator position as lower position switch position;
Afterwards, when detect lower flat layer signal first from invalid turn into effective time, floor distance parameter is reset, and the encoder pulse starting the motor shaft to elevator carries out the first counting process; When again detect lower flat layer signal from invalid turn into effective time, using the first counting process accumulates acquisition the first pulse counting as floor distance parameter;
In the process of detection floor distance parameter, detect lower flat layer signal first from invalid turn into effective time, flat layer is hidden magnetic plate length parameter and resets, and the encoder pulse starting the motor shaft to elevator carries out the 2nd counting process; When detecting that lower flat layer signal is from, when effectively turning into invalid, as flat layer, the 2nd pulse counting accumulating acquisition in the 2nd counting process being hidden magnetic plate length parameter;
When detecting the end of processing of floor distance parameter, flat layer inductor block spacing parameter is reset, and the encoder pulse starting the motor shaft to elevator carries out the 3rd counting process; When detect upper flat layer signal from invalid turn into effective time, using the 3rd counting process accumulates acquisition the 3rd pulse counting as flat layer inductor block spacing parameter;
Afterwards, when detect upper limit position switch signal from invalid turn into effective time, using current elevator position as upper limit position switch position.
9. the automatic learning method of elevator parameter according to claim 8, it is characterised in that, comprise following report Fisrt fault, report the 2nd fault, report the 3rd fault, report the 4th fault, report the 5th fault and report the 6th fault treatment step one of at least:
When starting from study, if lower position switch signal is invalid, then reports Fisrt fault and stop from study;
After starting from study, if range ability is more than the first predeterminable range, and meet the following conditions, then report the 2nd fault and stop from study:
Upper flat layer signal is not invalid from effectively turning into from start to finish;
Lower flat layer signal does not occur from invalid turning into effectively, turn into invalid change procedure more from start to finish;
In learning process, if floor distance parameter is less than the 2nd predeterminable range, report the 3rd fault and stopping study certainly;
In learning process, if flat layer hides magnetic plate length is greater than the 3rd predeterminable range, report the 4th fault and stopping are from learning;
In learning process, if flat layer inductor block spacing is greater than the 4th predeterminable range, report the 5th fault and stopping are from study;
, after learning end of processing, upper limit position switch signal turns into effectively from invalid if not detecting, then report the 6th fault and stopping from learning.
10. the automatic learning method of elevator parameter according to claim 9, it is characterised in that, described first predeterminable range is 1 meter, described 2nd predeterminable range is 50 centimetres, described 3rd predeterminable range and the 4th predeterminable range are 70 centimetres.
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| CN113233272A (en) * | 2021-05-13 | 2021-08-10 | 上海江菱机电有限公司 | Method and system for determining elevator floor position coordinates and elevator car dynamic coordinates and storage medium |
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