Double composite correction and self-learning method and system for elevator door machine frequency converter

Abstract

The application discloses a double-composite correction self-learning method and system for an elevator door machine frequency converter, and aims to solve the problems of poor control precision and poor comfort of a door machine frequency converter opening curve of a traditional door machine, and the method comprises the following steps: detecting that the door machine frequency converter is in a door width self-learning mode; performing a door closing operation, when the torque is greater than a door closing parking stall threshold, judging whether there is a door closing limit signal, if yes, clearing the door width value, and if no, reversing the running direction and performing the door closing operation again; performing a door opening operation, recording a door width position count value in real time, judging whether the torque is greater than a door opening parking stall threshold, if yes, saving the door width value; performing the door closing operation, when the torque is greater than the door closing parking stall threshold, judging whether there is the door closing limit signal, if yes, saving the door width value recorded when the door opening operation is completed; and further comprising a corresponding system. The application can make the door machine frequency converter opening curve control more accurate, the comfort better, and the door opening and closing process more smooth.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of elevator safety control, in particular to a double composite correction self-learning method and system for elevator door machine frequency converter. BACKGROUND

[0002] A door width position encoder, a closing limit switch and a torque detection module are configured in the door machine of the elevator. The door machine frequency converter communicates with the above-mentioned devices in real time during use, detects the closing limit switch signal input, and controls the opening door, opening door acceleration and deceleration, opening door holding, closing door, closing door acceleration and deceleration, and closing door holding operation according to the feedback signals of the above-mentioned device communication data and the closing limit switch input.

[0003] The traditional door machine controls the opening and closing door operation according to the state change of the switch quantity, and such door machine is prone to incorrect connection of the opening and closing input port, fuzzy opening and closing door position, long debugging time and great debugging difficulty. The main shortcomings are as follows:

[0004] 1. The node switch input port must be connected to the door machine frequency converter one by one according to the default function in the instruction manual or the port silk screen printing; 2. According to the opening and closing characteristics of the input switch, the parameters of the door machine frequency converter need to be manually modified to change the polarity of the default port function;

[0005] 3. Since the door position is fuzzy during the opening and closing door process, the opening and closing door operation curve is prone to acceleration and deceleration jamming phenomenon, and the comfort is poor;

[0006] 4. Since there is no real-time door position information, high-speed opening and closing door operation cannot be realized;

[0007] 5. It is impossible to predict in advance the damage of the switch or the breakage of the wire. SUMMARY

[0008] The present application solves the problems of poor opening door curve control precision and poor comfort of the door machine frequency converter of the traditional door machine, and proposes a double composite correction self-learning method and system for elevator door machine frequency converter, which can make the opening door curve control precision of the door machine frequency converter higher, the comfort better, and the opening and closing door process smoother.

[0009] In order to achieve the above-mentioned purpose, the present application adopts the following technical scheme: a double composite correction self-learning method for elevator door machine frequency converter, comprising the following steps:

[0010] S1, detecting whether the door machine frequency converter is in a door width self-learning mode, if yes, entering S2;

[0011] S2, performing a closing door operation, if the torque is greater than a closing door parking stall threshold, judging whether there is a closing limit signal, if yes, stopping the closing door and clearing the door width value, if not, reversing the running direction and re-executing the closing door operation;

[0012] S3, performing the door opening operation, recording the door width position count value in real time, judging whether the torque is greater than the door opening parking stall threshold value, if yes, stopping the door opening operation and saving the door width value;

[0013] S4, performing the door closing operation, when the torque is greater than the door closing parking stall threshold value, judging whether the door closing limit signal exists, if yes, the door width value is cleared, and the door width value recorded when the door opening operation is completed is saved.

[0014] In the technical solution, firstly, it is determined that the door machine frequency converter is in the door width self-learning mode, then the door closing operation is performed, and the judgment of whether the torque is greater than the door closing parking stall threshold value and whether the door closing limit signal exists is sequentially performed, if the torque is greater than the door closing parking stall threshold value and the door closing limit signal exists, the door opening operation is stopped and the door width value is cleared, if the torque is greater than the door closing parking stall threshold value but the door closing limit signal does not exist, the running direction is reversed and the door closing operation is performed again, then the door opening operation is performed, the judgment of the torque and the door opening parking stall threshold value is performed, if the torque is greater than the door parking stall threshold value, the door opening is stopped and the corresponding door width value is saved, finally, the door closing operation is performed again, if the torque is greater than the door closing parking stall threshold value and the door closing limit signal exists, the door width value is cleared and the encoder door width count position value recorded when the door opening operation is completed is saved, so as to complete the door frame self-learning process.

[0015] The application further comprises the following steps before the step S1:

[0016] The door width position encoder in the door machine is connected to the encoder communication module, the door closing limit switch is connected to the switch detection module, and the torque monitor is connected to the torque detection module.

[0017] In the technical solution, before the step S1, the corresponding devices in the door machine are connected to the related modules to ensure the information interaction.

[0018] The application further comprises that in the step S1, the door machine frequency converter can be set to the door width self-learning mode through the instruction interaction between the special handheld operation server and the door machine frequency converter.

[0019] In the technical solution, the door machine frequency converter has the door width self-learning mode, the automatic demonstration running mode and the external instruction running mode, and the door machine frequency converter needs to be adjusted to the door width self-learning mode to perform the door width learning operation.

[0020] The application further comprises that the step S2 comprises:

[0021] When the door machine frequency converter is set to the door width self-learning mode, the door closing operation is immediately started, at this time, the elevator car door runs at a slow and uniform speed, when the real-time torque monitored by the torque detection module is greater than the door closing parking stall threshold and the related limit position signal input is input, the door closing operation is stopped, and the encoder door width position count value is cleared.

[0022] In the technical solution, if the real-time torque monitored by the torque detection module is less than the door closing parking stall threshold, the door closing operation is restarted.

[0023] The application further provides that the step S2 further comprises:

[0024] After the torque detection module monitors the torque for a period of time greater than the parking stall threshold, if there is no limit position signal input, the door closing operation is immediately stopped, the door machine frequency converter is set to the standby mode through the server, the running direction parameter value is taken as the opposite, and the door closing operation is restarted.

[0025] The application further provides that the step S3 comprises:

[0026] The door opening operation is performed, the elevator car door runs at a slow and uniform speed, and the encoder door width position count value is accumulated in real time, when the torque monitored by the torque detection module is greater than the door opening parking stall threshold, the door opening operation is stopped and the door opening state is maintained, and the current door width position encoder door width position count is recorded.

[0027] In the technical solution, if the torque monitored by the torque detection module is less than or equal to the door opening parking stall threshold, the door opening operation is returned to be restarted.

[0028] The application further provides that the step S4 comprises:

[0029] The door closing operation is performed, when the torque monitored by the torque detection module is greater than the door closing parking stall threshold and the related limit position signal input exists, the door closing operation is immediately stopped and the door closing state is maintained, the encoder door width position count value is cleared, the door width position count value recorded when the door opening operation is completed is saved to the storage module, and the door width self-learning is completed.

[0030] In the technical solution, the door closing operation of the step is basically the same as that of the step S2, when the torque monitored by the torque detection module is greater than the door closing parking stall threshold and the related limit position signal input exists, the encoder door width position count value is cleared.

[0031] The application discloses an elevator door machine frequency converter double composite correction self-learning system suitable for the elevator door machine frequency converter double composite correction self-learning method.

[0032] In the technical solution, the above-mentioned modules are used to execute the elevator door machine frequency converter double composite correction self-learning method.

[0033] The torque detection module adopts an upper bridge arm phase current detection method, utilizes a high-performance Hall effect current sensor, and makes input current flow through internal wires, generates a magnetic field, and inducts a corresponding electric signal on a Hall circuit to convert and output a voltage signal.

[0034] In the technical solution, the torque detection module is used to detect parameters, and the accuracy of detection is ensured.

[0035] The door lock contact switch is a door lock contact switch, and the door width position encoder is a high-precision absolute encoder.

[0036] In the technical solution, the electrical contact of the door lock contact switch is mainly composed of two metal sheets, the two metal sheets are in contact when the elevator door is completely closed and the door lock is correctly locked, and an electrical connection is formed; the locking or unlocking state of the elevator door is monitored through the connection or disconnection of the electrical contact.

[0037] The application can bring the following beneficial effects:

[0038] Compared with a traditional switch input control mode, the elevator door machine frequency converter double composite correction self-learning method can make the door machine frequency converter have higher opening curve control precision, better comfort and a more smooth opening and closing process.

[0039] The elevator door machine frequency converter double composite correction self-learning system can guarantee the implementation of the elevator door machine frequency converter double composite correction self-learning method through the synergistic effect of multiple modules, so that the door machine frequency converter has higher opening curve control precision and better comfort. BRIEF DESCRIPTION OF DRAWINGS

[0040] Figure 1is the flow chart of the double composite correction self-learning method of the elevator door machine frequency converter of the present application.

[0041] Figure 2 is the functional module schematic diagram involved in the double composite correction self-learning system of the elevator door machine frequency converter of the present application.

[0042] Reference signs:

[0043] 1, limit switch 2, switch detection module 3, door width position encoder 4, encoder communication module 5, torque monitor 6, torque detection module 7, signal acquisition module 8, function control module 9, motor drive module 10, door width counting module 11, storage module. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical scheme and advantages of the present application more clear and obvious, the present application will be further described in detail below in combination with the drawings and examples. It should be understood that the specific embodiments described here are only one of the best embodiments of the present application, which are used to explain the present application and do not limit the protection scope of the present application. All other embodiments obtained by those skilled in the art without creative labor fall within the scope of protection of the present application.

[0045] Example 1

[0046] The present embodiment proposes a double composite correction self-learning method of elevator door machine frequency converter, referring to Figure 1 which mainly includes the following steps.

[0047] Step S1, first, detect whether the door machine frequency converter is in the door width self-learning mode, if yes, go to S2, if no, re-detect.

[0048] For step S1, more specifically, first determine whether the door machine frequency converter is in the learning state, if yes, continue to determine whether to start learning, if no, return to start again; for whether to start learning, if yes, start executing the subsequent step S2, if no, return to the step of whether in learning state.

[0049] In the above step S1, the door machine frequency converter is set to the door width self-learning mode by interacting with the door machine frequency converter through the special handheld operation server.

[0050] In the present technical solution, the door machine frequency converter has a door width self-learning mode, an automatic demonstration running mode and an external instruction running mode. The door machine frequency converter needs to be adjusted to the door width self-learning mode to perform the door width learning operation. If it is not in the self-learning mode, the door machine frequency converter will not perform the door width learning operation.

[0051] Step S2, start to execute the door closing operation, in the process, judge whether the torque is greater than the door closing parking stall threshold, then judge whether there is a door closing limit signal, when the torque is greater than the door closing parking stall threshold, if there is a corresponding door closing limit signal, stop the door closing operation and clear the door width value, if there is no corresponding door closing limit signal, take the opposite of the running direction and re-perform the door closing operation.

[0052] For this step, more specifically, after setting the door machine frequency converter to the door width self-learning mode in step S1, immediately start and execute the door closing operation, at this time the elevator car door runs slowly and uniformly, when the torque detection module monitors that the real-time torque is greater than the door closing parking stall threshold and there is a corresponding door closing limit signal input, immediately stop the above-mentioned door closing operation and clear the encoder door width count.

[0053] In addition, in this step, if after the torque detection module monitors that the torque is greater than the parking stall threshold for a period of time, there is still no door closing limit signal input, immediately stop the door closing operation, set the door machine frequency converter to standby mode through the server, take the opposite of the running direction parameter value, and re-perform the door closing operation.

[0054] The period of time set in this embodiment is 10s, that is, execute the door closing operation, when the torque detection module monitors that the torque is greater than the parking stall threshold for 10s, immediately stop the door closing operation without the door closing limit signal input.

[0055] Reference Figure 1 When the torque is less than or equal to the door closing parking stall threshold, it should return to the door closing operation step to re-perform the door closing operation.

[0056] Step S3, after completing the process of step S2, execute the door opening operation, record the real-time door width position count value, and judge whether the torque is greater than the door opening parking stall threshold, if the torque is greater than the door opening parking stall threshold, it should stop opening the door and save the corresponding door width value, if the torque is less than or equal to the door opening parking stall threshold, return to the door opening operation step to re-perform the door opening operation.

[0057] For this step, more specifically, after starting step S3, the elevator car door can run slowly and uniformly, at this time the encoder door width position count value is accumulated in real time, judge whether the torque monitored by the torque detection module is greater than the door opening parking stall threshold, if the torque monitored by the torque detection module is greater than the door opening parking stall threshold, stop the door opening operation, keep the door opening state, and record the current encoder door width position count.

[0058] In this technical solution, if the torque detection module monitors that the torque is less than or equal to the door opening parking stall threshold, return to re-perform the door opening operation.

[0059] After the step S3 is completed, the step S4 is performed to execute the closing operation, to determine whether the torque is greater than the closing parking stall threshold, and to determine whether there is an input of the closing limit signal after it is determined that the torque is greater than the closing parking stall threshold, if there is an input of the limit signal, the door width value is cleared, and the door width value recorded at the completion of the step S3 is saved to complete the door width self-learning.

[0060] In the step S4, if the torque is less than or equal to the closing parking stall threshold, the closing operation is re-performed (i.e., the step S4 is re-performed).

[0061] In the step S4, if there is no input of the closing limit signal, the closing limit signal is abnormal, and then the door width learning process is ended.

[0062] In more detail, the step S4 includes the following process: the closing operation is executed, it is determined whether the torque monitored by the torque detection module is greater than the closing parking stall threshold, if the torque monitored by the torque detection module is greater than the closing parking stall threshold, it is determined whether there is an input of the closing limit signal, if there is an input of the closing limit signal, the closing operation is immediately stopped and the closing state is maintained, the encoder door width position count value is cleared, the encoder door width position count value recorded at the completion of the opening operation is saved to the local memory to complete the door width self-learning, and if there is no input of the closing limit signal, the closing limit signal is abnormal, and then the door width learning process is ended.

[0063] In the embodiment, before the step S1 is performed, the following steps are further included: the door width position encoder in the door machine is connected to the encoder communication module, the closing limit switch is connected to the switch detection module, and the torque monitor is connected to the torque detection module. That is, the door width position encoder, the closing limit switch, and the torque monitor in the door machine are sequentially connected to the encoder communication module, the switch detection module, and the torque detection module.

[0064] In the technical solution, it is first determined that the door machine frequency converter is in the door width self-learning mode, then the closing operation is executed, the determination of whether the torque is greater than the closing parking stall threshold and whether there is an input of the closing limit signal is sequentially performed, if the torque is greater than the closing parking stall threshold and there is an input of the closing limit signal, the opening operation is stopped and the door width value is cleared, if the torque is greater than the closing parking stall threshold but there is no input of the closing limit signal, the closing operation is re-performed after the running direction is reversed, then the opening operation is performed, the determination of whether the torque is greater than the opening parking stall threshold is performed, if the torque is greater than the opening parking stall threshold, the opening is stopped and the corresponding door width value is saved, and finally the closing operation is performed again, if the torque is greater than the closing parking stall threshold and there is an input of the closing limit signal, the door width value is cleared, and the encoder door width count position value recorded at the completion of the opening operation is saved to complete the door width self-learning process.

[0065] Embodiment 2

[0066] The embodiment also provides a double composite correction self-learning method for an elevator door machine frequency converter, comprising the following steps.

[0067] In step S1, firstly, it is detected whether the door machine frequency converter is in a door width self-learning mode, if yes, step S2 is entered, and if no, the detection is performed again.

[0068] In the technical solution, the door machine frequency converter has a door width self-learning mode, an automatic demonstration operation mode and an external instruction operation mode, and the door machine frequency converter needs to be adjusted to the door width self-learning mode to perform the door width learning operation, and if in a non-self-learning mode, the door machine frequency converter will not perform the door width learning operation.

[0069] In step S2, a door closing operation is started, in the process, it is judged whether the torque is greater than a door closing parking stall threshold, and then it is judged whether there is a closing limit signal, if the torque is greater than the door closing parking stall threshold and there is a corresponding closing limit signal, the door closing operation is stopped and the door width value is cleared, and if there is no corresponding closing limit signal, the running direction is reversed and the door closing operation is performed again.

[0070] For the step, more specifically, after the door machine frequency converter is set to the door width self-learning mode in step S1, the door closing operation is immediately started and performed, at this time, the elevator car door runs slowly and uniformly, when the torque detection module monitors that the real-time torque is greater than the door closing parking stall threshold and there is a corresponding closing limit signal input, the above door closing operation is immediately stopped and the encoder door width count is cleared.

[0071] In addition, in the step, if after the torque detection module monitors that the torque is greater than the parking stall threshold for a period of time, there is still no closing limit signal input, the door closing operation is immediately stopped, the door machine frequency converter is set to a standby mode by the server, the running direction parameter value is reversed, and the door closing operation is performed again.

[0072] In the embodiment, the period of time is 10s, that is, the door closing operation is performed, and when the torque detection module monitors that the torque is greater than the parking stall threshold for 10s, the door closing operation is immediately stopped without the closing limit signal input.

[0073] Reference Figure 1 When the torque is less than or equal to the door closing parking stall threshold, the door closing operation step should be returned to perform the door closing operation again.

[0074] Step S3, after the process of step S2 is completed, the door opening operation is performed, the real-time door width position count value is recorded, and it is judged whether the torque is greater than the door opening parking stall threshold value, if the torque is greater than the door opening parking stall threshold value, the door opening should be stopped and the corresponding door width value should be saved, if the torque is less than or equal to the door opening parking stall threshold value, the door opening operation step is returned to re-perform the door opening.

[0075] For this step, more specifically, after the opening step S3, the elevator car door can run slowly and uniformly, at this time, the encoder door width position count value is accumulated in real time, it is judged whether the torque monitored by the torque detection module is greater than the door opening parking stall threshold value, if the torque monitored by the torque detection module is greater than the door opening parking stall threshold value, the door opening operation is stopped, the door opening state is maintained, and the current encoder door width position count is recorded.

[0076] In the technical solution, if the torque monitored by the torque detection module is less than or equal to the door opening parking stall threshold value, the door opening operation is returned to be re-performed.

[0077] After step S3 is completed, step S4 is performed, the door closing operation is performed, it is judged whether the torque is greater than the door closing parking stall threshold value, after it is determined that the torque is greater than the door closing parking stall threshold value, it is judged whether there is an input of the closing limit signal, if there is an input of the limit signal, the door width value is cleared, the door width value recorded at the completion of the step S3 operation is saved, to complete the door width self-learning.

[0078] In the above step S4, if the torque is less than or equal to the door closing parking stall threshold value, the door closing operation is re-performed (i.e., step S4 is re-performed).

[0079] In the above step S4, if there is no input of the closing limit signal, the closing limit signal is abnormal, and then the door width learning process is ended.

[0080] For step S4, more specifically, the following processes are included: the door closing operation is performed, it is judged whether the torque monitored by the torque detection module is greater than the door closing parking stall threshold value, in the case that the torque monitored by the torque detection module is greater than the door closing parking stall threshold value, it is judged whether there is an input of the closing limit signal, if there is an input of the closing limit signal, the door closing operation is immediately stopped and the door closing state is maintained, the encoder door width position count value is cleared, the encoder door width position count value recorded at the completion of the door opening operation is saved to the local storage, to complete the door width self-learning. If there is no input of the closing limit signal, the closing limit signal is abnormal, and then the door width learning process is ended.

[0081] In this embodiment, before step S1, the following steps are further included: connecting the door width position encoder in the door machine to the encoder communication module, connecting the limit switch to the switch detection module, and connecting the torque monitor to the torque detection module. That is, the door width position encoder, the limit switch, and the torque monitor in the door machine are sequentially connected to the encoder communication module, the switch detection module, and the torque detection module.

[0082] On the basis of the above-mentioned double composite calibration self-learning method of the elevator door machine frequency converter, the embodiment further proposes a double composite calibration self-learning system of the elevator door machine frequency converter, which refers to Figure 2 , mainly includes a limit switch 1, a switch detection module 2, an encoder 3, an encoder communication module 4, a torque monitor 5, a torque detection module 6, a signal acquisition module 7, a function control module 8, a storage module 11, a door width counting module 10, and a motor driving module 9.

[0083] Among them, the signal acquisition module and the function control module are connected, the limit switch is connected to one end of the switch detection module, the other end of the switch detection module is connected to the signal acquisition module, the door width position encoder is connected to one end of the encoder communication module, the other end of the encoder communication module is connected to the signal acquisition module, the torque monitor is connected to one end of the torque detection module, and the other end of the torque detection module is connected to the signal acquisition module.

[0084] The storage module, the door width counting module, and the motor driving module are respectively connected to the function control module.

[0085] Among them, the switch detection module can read the opening and closing state of the limit switch; the encoder communication module can ensure the connection of the door width position encoder and the signal acquisition module, the torque detection module can detect the torque value of the torque monitor, and compare the torque value with the corresponding torque threshold value.

[0086] The signal acquisition module can collect the state of the limit switch, the counting value of the door width position encoder, the torque value, and the comparison result.

[0087] The function control module can send corresponding instructions according to the data of the signal acquisition module, store the counting value of the encoder through the instructions, control the motor driving module to drive the motor, and control the door width counting module to adjust the counting value.

[0088] Through the above-mentioned mutually connected modules, the double composite calibration self-learning method of the elevator door machine frequency converter described in embodiment 1 is further realized.

[0089] In the embodiment, the door width position encoder is a high-precision absolute encoder, the absolute resolution of a single circle is 12 bits, the communication mode is a high-speed serial peripheral interface (SPI), the working voltage is 3.3 V, and the communication frequency is 5 Kbps.

[0090] In the embodiment, the limit switch is a door lock contact switch, which includes two metal sheets. When the door is completely closed and the door lock is locked, the two metal sheets are in contact with each other, thereby forming an electrical connection. The locking or unlocking state of the door is monitored by the connection and disconnection of the electrical contact.

[0091] In the embodiment, the torque detection module adopts an upper bridge arm phase current detection method. The input current flows through an internal lead wire, a magnetic field generated thereby is inducted on a Hall circuit to generate a corresponding electrical signal, and the output voltage signal is converted to detect the current operating torque. When the detected torque is greater than a set threshold value during the door opening process, the operation is stopped, the zero speed is maintained, and the door is reversed.

[0092] Reference Figure 1 and Figure 2 It is confirmed whether the door machine frequency converter enters the self-learning mode. In the non-self-learning mode, the door machine frequency converter does not perform the door width learning operation.

[0093] In the door width learning mode, the self-learning process is started. First, the function control module 8 controls the motor drive module 9 to drive the door motor to run in the default door closing direction to perform the door closing operation. At the same time, the torque monitor 5 transmits the current torque value to the torque detection module 6 in real time. When the torque detection module 6 detects that the torque value of the torque monitor 5 is greater than the door closing stop parking stall threshold value, the switch detection module 2 reads the state of the closing limit switch 1. At this time, if the switch detection module 2 reads that the closing limit switch 1 is in the open and close state, that is, the door reaches the limit position but is not in the closing position, the function control module 8 reverses the motor running direction to control the motor drive module 9 to perform the door closing operation again. When the torque detection module 6 detects that the torque value of the torque monitor 5 is greater than the door closing stop parking stall threshold value, and the switch detection module 2 reads that the closing limit switch 1 is in the closed state, the door width counting module 10 clears the counting value.

[0094] After the function control module 8 controls the motor drive module 9 to maintain the zero speed of the motor for 3 seconds, the function control module 8 controls the motor drive module 9 to drive the door motor to run in the door opening direction to perform the door opening operation. The encoder communication module 4 acquires the counting value of the encoder 3 in real time. When the torque detection module 6 detects that the torque value of the torque monitor 5 is greater than the door opening stop parking stall threshold value, the signal acquisition module 7 records the door width counting value of the encoder communication module 4.

[0095] The function control module 8 controls the motor drive module 9 to keep the motor at zero speed for 3 seconds, and then controls the motor drive module 9 to drive the door motor to run in the closing direction to perform the closing operation. The encoder communication module 4 acquires the counting value of the encoder 3 in real time, and the torque detection module 6 detects the torque value of the torque monitor 5 in real time. When the torque detection module 6 detects that the torque value of the torque monitor 5 is greater than the closing parking stall threshold, and the switch detection module 2 reads that the closing limit switch 1 is in the closed state, the function control module 8 controls the motor drive module 9 to keep the motor at zero speed. The function control module 8 saves the counting value of the encoder 3 recorded in the signal acquisition module 7 to the storage module 11, and at this time, the door width self-learning ends.

[0096] Finally, it should be noted that the above examples are only used to illustrate the technical solutions of the present application and are not limiting. Although the present application has been described in detail with reference to the examples, those skilled in the art should understand that modifications or equivalent replacements of the technical solutions of the present application do not deviate from the spirit and scope of the present application, and they should be covered in the scope of the claims of the present application.

Claims

1. A double composite calibration self-learning method for an elevator door machine frequency converter, characterized by, The method comprises the following steps: S1, detecting whether the door machine frequency converter is in a door width self-learning mode, if yes, entering S2; S2, performing a door closing operation, if the torque is greater than a door closing parking stall threshold, judging whether there is a closing limit signal, if yes, stopping the door closing operation and clearing the door width value, if no, reversing the running direction and re-performing the door closing operation; S3, performing a door opening operation, recording the door width position count value in real time, judging whether the torque is greater than a door opening parking stall threshold, if yes, stopping the door opening operation and saving the door width value; S4, performing a door closing operation, if the torque is greater than a door closing parking stall threshold, judging whether there is a closing limit signal, if yes, clearing the door width value and saving the door width value recorded when the door opening operation is completed.

2. The elevator door machine inverter double composite calibration self-learning method according to claim 1, characterized by, Before the step S1, the following steps are further included: connecting the door width position encoder in the door machine to the encoder communication module, connecting the closing limit switch to the switch detection module, and connecting the torque monitor to the torque detection module.

3. The double composite calibration self-learning method of the elevator door machine frequency converter according to claim 2, characterized in that, In the step S1, the door machine frequency converter can be set to the door width self-learning mode through the instruction interaction between the special handheld operation server and the door machine frequency converter.

4. The double composite calibration self-learning method of the elevator door machine frequency converter according to claim 1 or 2 or 3, characterized in that, The step S2 comprises: after the door machine frequency converter is set to the door width self-learning mode, immediately starting to perform the door closing operation, at this time, the elevator car door runs at a slow and uniform speed, when the real-time torque monitored by the torque detection module is greater than the door closing parking stall threshold and the closing limit signal is input, stopping the door closing operation and clearing the encoder door width position count value.

5. The double composite calibration self-learning method of the elevator door machine frequency converter according to claim 1 or 2 or 3, characterized in that, The step S2 further comprises: after the torque monitored by the torque detection module is greater than the parking stall threshold for a period of time, if there is no closing limit signal input, immediately stopping the door closing operation, setting the door machine frequency converter to the standby mode through the server, reversing the running direction parameter value, and re-performing the door closing operation.

6. The dual composite calibration self-learning method of the elevator door machine frequency converter according to claim 1, characterized in that, The step S3 comprises: performing the door opening operation, the elevator car door runs at a slow and uniform speed, and the encoder door width position count value is accumulated in real time, when the torque monitored by the torque detection module is greater than the door opening parking stall threshold, stopping the door opening operation and keeping the door opening state, and recording the current door width position encoder door width position count.

7. The dual composite calibration self-learning method of the elevator door machine inverter according to claim 1, characterized by, The step S4 comprises: performing the door closing operation, when the torque monitored by the torque detection module is greater than the door closing parking stall threshold and there is the closing limit signal input, immediately stopping the door closing operation and keeping the door closing state, clearing the encoder door width position count value, saving the door width position count value recorded when the door opening operation is completed to the storage module, and completing the door width self-learning.

8. A double composite calibration self-learning system for an elevator door machine frequency converter, suitable for the double composite calibration self-learning method for an elevator door machine frequency converter according to any one of claims 1 to 7, characterized in that, The method comprises a signal acquisition module and a function control module connected thereto, the signal acquisition module is connected to the closing limit switch through the switch detection module, the signal acquisition module is connected to the door width position encoder through the encoder communication module, and the signal acquisition module is connected to the torque monitor through the torque detection module; the function control module is respectively connected with a door width count module, a motor driving module and a storage module.

9. The dual redundant elevator door machine inverter self-learning system of claim 8, wherein, The torque detection module adopts an upper bridge arm phase current detection method, uses a high-performance Hall effect current sensor, inputs the current to flow through the internal wire, generates a magnetic field, and induces a corresponding electric signal on the Hall circuit, and converts and outputs a voltage signal.

10. The dual redundant verification self-learning system of an elevator door machine inverter according to claim 8 or 9, characterized in that, The limit position switch is a door lock contact switch, and the door width position encoder is a high-precision absolute encoder.

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