Escalator main shaft working monitoring method, system and storage medium

Abstract

The application discloses an escalator main shaft working monitoring method and system and a storage medium, and is characterized in that the working condition of the escalator main shaft is monitored, especially the working volume and working vibration of the preset area of the escalator main shaft during working are monitored, the working volume data and working vibration data are judged in combination with preset threshold values, the working volume data and working vibration data pointing to abnormalities are located and extracted, and the working condition of the escalator main shaft is warned and fed back in combination with the frequency of the working volume data and working vibration data, so that the frequency of elevator maintenance or overhaul is provided with data record tracing assistance. In addition, the working volume data and working vibration data pointing to abnormalities are subjected to correlation judgment, reference results of whether the working volume data and working vibration data are generated by independent faults or the same fault problem are outputted, the maintenance personnel are provided with reference for troubleshooting, and the operation and service of the elevator are safer and more reliable.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of escalator component monitoring, in particular to an escalator main shaft working monitoring method, system and storage medium. BACKGROUND

[0002] As an auxiliary up and down floor equipment commonly used in places such as shopping malls and office buildings, the escalator has the characteristics of frequent use, large load and long continuous working time, so it is particularly important to ensure its working reliability and safety during operation. Since the working process of the escalator needs to rely on the traction of the escalator main shaft and the driving of the driving motor on the escalator main shaft, the escalator will produce certain mechanical matching sound and vibration during the working process. When the mechanical parts of the escalator work abnormally, abnormal noise and vibration become the external form of abnormal performance. Therefore, maintenance personnel often judge whether the escalator is faulty by whether abnormal vibration and noise occur during maintenance and maintenance. For some occasional faults or abnormal conditions with low occurrence frequency, maintenance personnel need to spend a lot of time to troubleshoot and reproduce, which reduces the maintenance and maintenance efficiency to some extent. If a solution can record and provide timely warning for the working condition of the escalator, and roughly judge and assist the reminder for the abnormal condition during the working process of the escalator, it will provide positive practical significance for the service safety of the escalator. SUMMARY

[0003] Therefore, the purpose of the present application is to provide an escalator main shaft working monitoring method, system and storage medium which is reliable, flexible and can assist in outputting warning information.

[0004] In order to achieve the above technical purpose, the technical solution adopted by the present application is:

[0005] An escalator main shaft working monitoring method, the escalator main shaft is provided with a step chain wheel and a main shaft transmission wheel, the step chain wheel is connected with the steps of the escalator through a step chain, and the main shaft transmission wheel is connected with a driving motor through a driving part. The driving motor drives the rotation of the escalator main shaft. The monitoring method comprises:

[0006] S01, in response to the start signal of the driving motor, acquiring the speed information of the rotation of the escalator main shaft driven by the power device and the output power of the driving motor, generating main shaft working parameter information and motor working parameter information;

[0007] S02, real-time monitoring the working condition of the rotation of the escalator main shaft, generating working state monitoring data, wherein the working state monitoring data is associated with the time when it is generated;

[0008] S03, acquire working state monitoring data, judge it according to preset conditions, and locate and extract abnormal data to generate abnormal state data;

[0009] S04, according to the abnormal state data, acquire the time when it occurs, then correspondingly extract the main shaft working parameter information and motor working parameter information at the same time, and respectively collect and generate abnormal working parameter information;

[0010] S05, according to the abnormal working parameter information, acquire the abnormal state occurrence frequency of the escalator main shaft during working within a preset time period, then compare it with the preset threshold value respectively, when it is greater than the preset threshold value, generate a warning information and output the abnormal working parameter information within the preset time period.

[0011] As a possible implementation, further, the escalator main shaft described in the scheme is provided with a first sensor for sensing the working vibration of the escalator main shaft, and a second sensor for sensing the working volume of the installation area of the escalator main shaft is arranged on one side of the escalator main shaft; in S02, the working condition is the vibration condition and the volume condition when the escalator main shaft rotates.

[0012] In this case, the scheme S02 includes: real-time monitoring the working vibration and / or working volume when the escalator main shaft rotates to generate vibration monitoring data and / or volume monitoring data, wherein the vibration monitoring data and the volume monitoring data are associated with the time when they are generated;

[0013] S03 includes: acquiring vibration monitoring data and / or volume monitoring data, locating and extracting vibration data with vibration value greater than the preset threshold value in the vibration monitoring data according to the preset condition to generate abnormal vibration data, locating and extracting volume data with volume value greater than the preset threshold value in the volume monitoring data according to the preset condition to generate abnormal volume data;

[0014] S04 includes: according to the abnormal vibration data and / or abnormal volume data, respectively acquiring the time when it occurs, then correspondingly extracting the main shaft working parameter information and motor working parameter information at the same time, and respectively collecting and generating abnormal vibration working parameter information and / or abnormal sound working parameter information;

[0015] S05 includes: according to the abnormal vibration working parameter information and / or abnormal sound working parameter information, acquiring the abnormal vibration and abnormal volume occurrence frequency of the escalator main shaft during working within a preset time period, then comparing it with the preset threshold value respectively, when it is greater than the preset threshold value, generating a warning information and outputting the abnormal vibration working parameter information and / or abnormal sound working parameter information within the preset time period.

[0016] As a preferred selection embodiment, preferably, in the scheme S01, the position information of the step is also monitored to generate step position information, which also corresponds to the time of its generation.

[0017] As a preferred selection embodiment, preferably, in the scheme S04, according to the time when the abnormal vibration data and / or abnormal volume data occur, the step position information corresponding to the same time is extracted at the same time as the main shaft working parameter information and the motor working parameter information, and the abnormal vibration working parameter information and / or abnormal sound parameter information are generated.

[0018] As a preferred selection embodiment, preferably, according to the abnormal vibration working parameter information and / or abnormal sound parameter information, the method for obtaining the frequency of abnormal vibration and abnormal volume of the escalator main shaft during the preset time period includes:

[0019] A01, obtaining abnormal vibration working parameter information and / or abnormal sound parameter information;

[0020] A02, according to the preset time period to determine the time span it covers, then according to the abnormal vibration working parameter information and / or abnormal sound parameter information and its corresponding generation time, extract the abnormal vibration data and / or abnormal volume data that meet the time span, then count the number of occurrences in the preset time period, and calculate the frequency according to the following formula:

[0021]

[0022] Wherein, f is the frequency of abnormal vibration or abnormal sound in the preset time period t, C is the number of abnormal vibration or abnormal sound in the preset time period t, and T is the period of abnormal vibration or abnormal sound in the preset time period t.

[0023] As a preferred selection embodiment, preferably, the scheme further includes:

[0024] S06, obtaining the rotation frequency of the step chain wheel in the preset time period, and correlating the rotation frequency of the step chain wheel with the frequency of abnormal vibration and abnormal volume of the escalator main shaft during operation, when the rotation frequency of the step chain wheel and the frequency of abnormal vibration and / or abnormal volume meet the preset correlation requirements, output the step chain wheel abnormality as the reference result, otherwise, output the step chain abnormality as the reference result;

[0025] Wherein, the rotation frequency of the step chain wheel is calculated according to the following formula:

[0026]

[0027]

[0028] T1 is the rotation period of the step chain wheel, i.e. the time consumption of one rotation, w is the rotation angular velocity of the step chain wheel, n is the rotation speed of the step chain wheel, and f1 is the rotation frequency of the step chain wheel;

[0029] In addition, the rotation angular velocity w is the average rotation angular velocity of the step chain wheel in a preset time period, and the rotation speed n is the average rotation speed of the step chain wheel in the preset time period. The average rotation angular velocity and the average rotation speed in the preset time period are obtained by arranging an encoder in the step chain wheel setting area or by arranging a speed sensor on the step chain wheel.

[0030] As a preferred selection implementation manner, preferably, the scheme S05 further comprises:

[0031] According to the time points at which the abnormal vibration data and the abnormal volume data occur in the preset time period, the occurrence correlation between the abnormal vibration to which the abnormal vibration data points and the abnormal volume to which the abnormal volume data points is judged, a correlation judgment result is generated and output together with the early warning information.

[0032] As a preferred selection implementation manner, preferably, the scheme according to the time points at which the abnormal vibration data and the abnormal volume data occur in the preset time period, the occurrence correlation between the abnormal vibration to which the abnormal vibration data points and the abnormal volume to which the abnormal volume data points is judged, a correlation judgment result is generated and output together with the early warning information.

[0033] B01, the time points at which the abnormal vibration data occurs in the preset time period are corresponded with the time points at which the abnormal volume data occurs in the preset time period;

[0034] B02, the time difference value Δt of the time point t1 at which the corresponding abnormal vibration data occurs and the time point t2 at which the abnormal volume data occurs is calculated;

[0035] B03, the time difference value Δt is compared with a preset threshold value, when it is less than the preset threshold value, it is marked that the abnormal vibration and the abnormal volume have correlation;

[0036] B04, the abnormal vibration and the abnormal volume having correlation in the preset time period are counted, when the statistical quantity is greater than a preset threshold value, the correlation between the abnormal vibration data and the abnormal volume data is generated as a correlation judgment result, otherwise, no correlation or weak correlation is generated as a correlation judgment result.

[0037] As a preferred selection implementation manner, preferably, the scheme further comprises:

[0038] The abnormal working parameter information is obtained, and the driving motor is intervened in working. The intervention method comprises: reducing the driving speed, the driving acceleration or stopping driving of the driving motor.

[0039] Based on the above, the application further provides an escalator main shaft working monitoring system, which comprises:

[0040] A running monitoring module is configured to acquire speed information of the rotation of the escalator main shaft driven by the power device and output power of the driving motor in response to a starting signal of the driving motor, and to generate main shaft working parameter information and motor working parameter information.

[0041] An abnormality monitoring module comprises a vibration monitoring unit and a volume monitoring unit, which are respectively configured to monitor the working condition of the rotation of the escalator main shaft in real time and generate working state monitoring data, wherein the working state monitoring data is associated with the time when it is generated, and the working condition comprises a vibration condition and a volume condition.

[0042] A data extraction unit is configured to acquire the working state monitoring data, judge it according to a preset condition, locate and extract abnormal data, and generate abnormal state data.

[0043] A data integration unit is configured to acquire the time when the abnormal state data occurs, and then correspondingly extract the main shaft working parameter information and the motor working parameter information at the same time, and respectively collect and generate abnormal working parameter information.

[0044] A data judgment unit is configured to acquire the frequency of the abnormal state of the working of the escalator main shaft within a preset time length according to the abnormal working parameter information, and then compare it with a preset threshold value, and when it is greater than the preset threshold value, generate a warning information and output the abnormal working parameter information within the preset time length.

[0045] Based on the above, the application further provides a computer-readable storage medium, wherein the storage medium stores at least one instruction, at least one program, a code set or an instruction set, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to realize the escalator main shaft working monitoring method as described above.

[0046] Compared with the prior art, the present application has the beneficial effects that: the present application ingeniously monitors the working condition of the escalator main shaft, especially the working volume and working vibration of the preset area of the escalator main shaft during operation, judges the working volume data and working vibration data in combination with the preset threshold value, locates and extracts the working volume data and working vibration data pointing to the abnormality, and in combination with the frequency of occurrence, provides early warning feedback for the working condition of the escalator main shaft, provides data record tracing assistance for the frequency of elevator maintenance or repair, in addition, the present application further judges the correlation of the working volume data and working vibration data pointing to the abnormality to output the reference result of whether the two are caused by independent faults or the same fault problem, provides a reference for troubleshooting for maintenance personnel, and makes the operation and service of the elevator more safe and reliable. BRIEF DESCRIPTION OF DRAWINGS

[0047] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only constitute some embodiments of the present application, and for those skilled in the art, other drawings can also be obtained without creative labor.

[0048] Figure 1 is a brief schematic diagram of the escalator mentioned in the present application scheme, wherein only the escalator main shaft and related components connected with the escalator main shaft are shown;

[0049] Figure 2 is a brief implementation flowchart of the monitoring method of the present application scheme;

[0050] Figure 3 is a brief comparison diagram of the vibration monitoring data and the volume monitoring data in the monitoring method of the present application scheme;

[0051] Figure 4 is a brief unit module connection diagram of the system of the present application scheme. DETAILED DESCRIPTION

[0052] The present application will be further described in detail below in combination with the drawings and embodiments. It is particularly pointed out that the following embodiments are only used to illustrate the present application, but do not limit the scope of the present application. Similarly, the following embodiments are only some embodiments of the present application, but not all embodiments, and all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0053] As Figure 1 and Figure 2As shown, the embodiment scheme is a method for monitoring the working of an escalator main shaft, the escalator main shaft 1 is provided with a step chain wheel 3 and a main shaft transmission wheel 2, the step chain wheel 3 is connected with the steps 4 of the escalator through a step chain 5, the main shaft transmission wheel 2 is connected with a driving motor 7 through a driving part 6, the driving motor 7 drives the rotation of the escalator main shaft 1, and the monitoring method comprises:

[0054] S01, in response to the start signal of the driving motor, the speed information of the rotation of the escalator main shaft driven by the power device and the output power of the driving motor are obtained, and the main shaft working parameter information and the motor working parameter information are generated;

[0055] S02, the working condition of the rotation of the escalator main shaft is monitored in real time, and working state monitoring data is generated, wherein the working state monitoring data is associated with the time when it is generated;

[0056] S03, the working state monitoring data is obtained, and the abnormal data is positioned and extracted according to the preset condition, and the abnormal state data is generated;

[0057] S04, according to the abnormal state data, the time when it occurs is obtained, then the main shaft working parameter information and the motor working parameter information of the same time are extracted and collected respectively to generate abnormal working parameter information;

[0058] S05, according to the abnormal working parameter information, the frequency of the abnormal state of the working of the escalator main shaft in a preset time period is obtained, and then it is compared with the preset threshold value respectively, when it is greater than the preset threshold value, the warning information is generated and the abnormal working parameter information in the preset time period is output.

[0059] Through the above scheme, the working condition of the escalator main shaft is monitored, the abnormality is judged according to the preset index, the abnormal information record and the collection of related running parameters are realized, so that the subsequent maintenance and maintenance personnel can maintain it more targeted.

[0060] As a possible embodiment example, further, the escalator main shaft of the embodiment scheme is provided with a first sensor 8 for sensing the working vibration of the escalator main shaft, and a second sensor 9 for sensing the working volume of the installation area of the escalator main shaft is arranged on one side of the escalator main shaft; in S02, the working condition is the vibration condition and the volume condition of the rotation of the escalator main shaft.

[0061] In this case, the scheme S02 comprises: the working vibration and / or working volume of the rotation of the escalator main shaft is monitored in real time, and vibration monitoring data and / or volume monitoring data are generated, wherein the vibration monitoring data and the volume monitoring data are associated with the time when they are generated;

[0062] S03 comprises: acquiring vibration monitoring data and / or volume monitoring data, positioning and extracting vibration data with vibration values greater than a preset threshold in the vibration monitoring data according to a preset condition to generate abnormal vibration data, positioning and extracting volume data with volume values greater than a preset threshold in the volume monitoring data according to a preset condition to generate abnormal volume data;

[0063] S04 comprises: according to the abnormal vibration data and / or abnormal volume data, acquiring the time when it occurs respectively, then corresponding to extract the main shaft working parameter information and motor working parameter information at the same time, and respectively collect to generate abnormal vibration working parameter information and / or abnormal sound working parameter information;

[0064] S05 comprises: according to the abnormal vibration working parameter information and / or abnormal sound working parameter information, acquiring the occurrence frequency of abnormal vibration and abnormal volume when the escalator main shaft works within a preset time period, then comparing it with a preset threshold respectively, when it is greater than the preset threshold, generating a warning information and outputting the abnormal vibration working parameter information and / or abnormal sound working parameter information within the preset time period.

[0065] As a relatively preferred selection implementation, preferably, in the scheme S01, the position information of the step is also monitored to generate step position information, and the step position information is also associated with the time when it is generated.

[0066] In order to improve the convenience of fault troubleshooting, as a relatively preferred selection implementation, preferably, in the scheme S04, according to the time when the abnormal vibration data and / or abnormal volume data occurs, the main shaft working parameter information and motor working parameter information at the same time are extracted, and the step position information is also extracted, and the abnormal vibration working parameter information and / or abnormal sound working parameter information are collected respectively.

[0067] In addition, as a relatively preferred selection implementation, preferably, the method for acquiring the occurrence frequency of abnormal vibration and abnormal volume when the escalator main shaft works within a preset time period according to the abnormal vibration working parameter information and / or abnormal sound working parameter information comprises:

[0068] A01, acquiring abnormal vibration working parameter information and / or abnormal sound working parameter information;

[0069] A02, according to a preset time period to determine the time span it covers, then according to the abnormal vibration working parameter information and / or abnormal sound working parameter information and its corresponding generation time, extracting abnormal vibration data and / or abnormal volume data that meet the time span, then counting the number of occurrences within the preset time period, and calculating the occurrence frequency according to the following formula:

[0070]

[0071] Where f is the frequency of abnormal noise or vibration within a preset time t, C is the number of times abnormal noise or vibration occurs within a preset time t, and T is the period of abnormal noise or vibration within a preset time t.

[0072] Since the rotational stroke of the escalator main shaft is relatively shorter than that of the step chain, in order to facilitate a rough troubleshooting of abnormal noises or vibrations, as a preferred implementation method, this solution further includes:

[0073] S06. Obtain the rotation frequency of the step sprocket within a preset time period, and determine its correlation with the frequency of abnormal vibration and abnormal sound when the escalator main shaft is working. When the rotation frequency of the step sprocket meets the preset correlation requirements with the frequency of abnormal vibration and / or abnormal sound, output the step sprocket abnormality as a reference result; otherwise, output the step sprocket abnormality as a reference result.

[0074] The formula for calculating the rotation frequency of the stepped sprocket is as follows:

[0075]

[0076]

[0077] T1 is the rotation period of the ladder sprocket, i.e. the time it takes to rotate one revolution, w is the rotational angular velocity of the ladder sprocket, n is the rotational speed of the ladder sprocket, and f1 is the rotational frequency of the ladder sprocket.

[0078] In addition, the rotational angular velocity w is the average rotational angular velocity of the step sprocket within a preset time period, and the rotational speed n is the average rotational speed of the step sprocket within a preset time period. The average rotational angular velocity and average rotational speed within the preset time period are obtained by installing an encoder in the step sprocket setting area or by installing a speed sensor on the step sprocket.

[0079] Regarding the correlation of abnormal factors, combined with Figure 3 As shown, as a preferred implementation method, S05 of this solution further includes: determining the correlation between the abnormal vibration pointed to by the abnormal vibration data and the abnormal volume pointed to by the abnormal volume data based on the time points when the abnormal vibration data and abnormal volume data occur within a preset time period, generating a correlation judgment result and outputting it together with the warning information.

[0080] As a preferred implementation method, the preferred approach of this solution, based on the time points of occurrence of abnormal vibration data and abnormal volume data within a preset time period, determines the correlation between the abnormal vibration indicated by the abnormal vibration data and the abnormal volume indicated by the abnormal volume data, includes:

[0081] B01. Match the time points of abnormal vibration data within a preset time period with the time points of abnormal volume data within a preset time period;

[0082] B02. Calculate the time difference Δt between the time point t1 when the corresponding abnormal vibration data occurs and the time point t2 when the abnormal volume data occurs.

[0083] B03. Compare the time difference Δt with a preset threshold. If it is less than the threshold, mark that the abnormal vibration is related to the abnormal volume.

[0084] B04. Statistically analyze the abnormal vibrations and abnormal volumes that are correlated within a preset time period. When the number of statistical data exceeds a preset threshold, the abnormal vibration data and abnormal volume data are correlated as the correlation judgment result; otherwise, the correlation or weak correlation of the generated data is used as the correlation judgment result.

[0085] Combination Figure 3 As illustrated in the diagram and the above-mentioned solution, this embodiment uses the time points of occurrence of abnormal vibration data and abnormal volume data as correlation reference factors. By utilizing the implicit relationship between the two, the problem correlation of escalator main shaft failure is discovered, thereby improving the ability of subsequent maintenance personnel to reproduce abnormal conditions and perform equipment maintenance and repair.

[0086] Regarding equipment operation, if the escalator continues to operate normally when an escalator malfunctions, unexpected situations may occur. As a preferred implementation method, this solution also includes:

[0087] Obtain abnormal operating parameter information and intervene in the operation of the drive motor. The intervention methods include: reducing the drive speed, driving acceleration, or stopping the drive.

[0088] Combination Figure 4 As shown, based on the above, this embodiment also provides an escalator main shaft operation monitoring system, which includes:

[0089] The operation monitoring module is used to respond to the start signal of the drive motor, obtain the speed information of the escalator main shaft rotating under the drive of the power device and the output power of the drive motor, and generate the main shaft working parameter information and the motor working parameter information.

[0090] An anomaly monitoring module includes a vibration monitoring unit and a volume monitoring unit, which are used to monitor the working status of the escalator main shaft in real time and generate working status monitoring data. The working status monitoring data is associated with the time of its generation, and the working status includes vibration status and volume status.

[0091] The data extraction unit is used to acquire working status monitoring data, judge it according to preset conditions, locate and extract abnormal data, and generate abnormal status data.

[0092] The data integration unit is used to obtain the time of occurrence of abnormal status data, then extract the spindle working parameter information and motor working parameter information at the same time, and respectively collect and generate abnormal working parameter information.

[0093] The data judgment unit is used to obtain the frequency of abnormal states occurring during the operation of the escalator main shaft within a preset time period based on abnormal working parameter information, and then compare it with a preset threshold. When it exceeds the preset threshold, an early warning message is generated and the abnormal working parameter information within the preset time period is output.

[0094] Furthermore, the functional units in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0095] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) or processor to execute all or part of the steps of the methods of various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0096] The above description is only a part of the embodiments of the present invention and does not limit the scope of protection of the present invention. Any equivalent device or equivalent process transformation made based on the content of the present invention specification and drawings, or direct or indirect application in other related technical fields, are similarly included within the patent protection scope of the present invention.

Claims

1. A method for monitoring the operation of an escalator main shaft, wherein the escalator main shaft is provided with step sprockets and a main shaft drive wheel, the step sprockets are connected to the steps of the escalator via step chains, and the main shaft drive wheel is connected to a drive motor via a drive component, the drive motor driving the escalator main shaft to rotate, characterized in that, The monitoring method includes: S01. Responding to the start signal of the drive motor, obtain the speed information of the escalator main shaft rotating under the drive of the power device and the output power of the drive motor, and generate the main shaft working parameter information and the motor working parameter information; S02. Monitor the working status of the escalator main shaft in real time and generate working status monitoring data, wherein the working status monitoring data is associated with the time of its generation. S03. Acquire working status monitoring data, judge it according to preset conditions, locate and extract abnormal data, and generate abnormal status data; S04. Based on the abnormal status data, obtain the time of its occurrence, then extract the spindle working parameter information and motor working parameter information at the same time, and collect them to generate abnormal working parameter information respectively. S05. Based on the abnormal working parameter information, obtain the frequency of abnormal states occurring during the operation of the escalator main shaft within a preset time period, and then compare it with a preset threshold. When it exceeds the preset threshold, generate an early warning message and output the abnormal working parameter information within the preset time period.

2. The escalator main shaft operation monitoring method as described in claim 1, characterized in that, The escalator main shaft is equipped with a first sensor for sensing the working vibration of the escalator main shaft, and a second sensor is equipped on one side of the escalator main shaft for sensing the working volume of the escalator main shaft installation area; in S02, the working condition refers to the vibration condition and volume condition of the escalator main shaft when it rotates. S02 includes: real-time monitoring of the working vibration and / or working volume when the escalator main shaft rotates, generating vibration monitoring data and / or volume monitoring data, wherein the vibration monitoring data and volume monitoring data are both associated with their generation time; S03 includes: acquiring vibration monitoring data and / or volume monitoring data; locating and extracting vibration data with vibration values ​​greater than a preset threshold in the vibration monitoring data according to preset conditions, generating abnormal vibration data; and locating and extracting volume data with volume values ​​greater than a preset threshold in the volume monitoring data according to preset conditions, generating abnormal volume data. S04 includes: obtaining the time of occurrence of abnormal vibration data and / or abnormal noise data, then extracting the spindle working parameter information and motor working parameter information at the same time, and collecting them to generate abnormal vibration working parameter information and / or abnormal noise working parameter information respectively; S05 includes: obtaining the frequency of abnormal vibration and abnormal noise during the operation of the escalator main shaft within a preset time period based on the abnormal vibration operating parameter information and / or abnormal noise operating parameter information, and then comparing them with preset thresholds respectively. When the frequency exceeds the preset threshold, an early warning message is generated and the abnormal vibration operating parameter information and / or abnormal noise operating parameter information within the preset time period is output.

3. The escalator main shaft operation monitoring method as described in claim 2, characterized in that, In S01, the position information of the ladder step is also monitored, and ladder step position information is generated. The ladder step position information is also associated with the time of its generation. In S04, based on the time of occurrence of abnormal vibration data and / or abnormal volume data, the spindle working parameter information and motor working parameter information at the same time are extracted, and the step position information is also extracted, and abnormal vibration working parameter information and / or abnormal noise working parameter information are respectively collected and generated.

4. The escalator main shaft operation monitoring method as described in claim 3, characterized in that, The method for obtaining the frequency of abnormal vibration and abnormal noise during the operation of the escalator main shaft within a preset time period based on abnormal vibration operating parameter information and / or abnormal noise operating parameter information includes: A01. Obtain abnormal vibration operating parameter information and / or abnormal noise operating parameter information; A02. Determine the time span it covers based on the preset duration. Then, based on the abnormal vibration operating parameter information and / or abnormal noise operating parameter information and their corresponding generation time, extract the abnormal vibration data and / or abnormal volume data that conform to the time span. Then, count the number of times they occur within the preset duration and calculate their frequency of occurrence using the following formula: Where f is the frequency of abnormal noise or vibration within a preset time t, C is the number of times abnormal noise or vibration occurs within a preset time t, and T is the period of abnormal noise or vibration within a preset time t.

5. The escalator main shaft operation monitoring method as described in claim 4, characterized in that, It also includes: S06. Obtain the rotation frequency of the step sprocket within a preset time period, and determine its correlation with the frequency of abnormal vibration and abnormal sound when the escalator main shaft is working. When the rotation frequency of the step sprocket meets the preset correlation requirements with the frequency of abnormal vibration and / or abnormal sound, output the step sprocket abnormality as a reference result; otherwise, output the step sprocket abnormality as a reference result. The formula for calculating the rotation frequency of the stepped sprocket is as follows: T1 is the rotation period of the ladder sprocket, i.e. the time it takes to rotate one revolution, w is the rotational angular velocity of the ladder sprocket, n is the rotational speed of the ladder sprocket, and f1 is the rotational frequency of the ladder sprocket. In addition, the rotational angular velocity w is the average rotational angular velocity of the step sprocket within a preset time period, and the rotational speed n is the average rotational speed of the step sprocket within a preset time period. The average rotational angular velocity and average rotational speed within the preset time period are obtained by installing an encoder in the step sprocket setting area or by installing a speed sensor on the step sprocket.

6. The escalator main shaft operation monitoring method as described in claim 4, characterized in that, S05 also includes: Based on the time points of occurrence of abnormal vibration data and abnormal volume data within a preset time period, the correlation between the abnormal vibration indicated by the abnormal vibration data and the abnormal volume indicated by the abnormal volume data is determined, and the correlation judgment result is generated and output together with the warning information.

7. The escalator main shaft operation monitoring method as described in claim 5, characterized in that, Methods for determining the correlation between abnormal vibration data and abnormal volume data based on their occurrence times within a preset time period include: B01. Match the time points of abnormal vibration data within a preset time period with the time points of abnormal volume data within a preset time period; B02. Calculate the time difference Δt between the time point t1 when the corresponding abnormal vibration data occurs and the time point t2 when the abnormal volume data occurs. B03. Compare the time difference Δt with a preset threshold. If it is less than the threshold, mark that the abnormal vibration is related to the abnormal volume. B04. Statistically analyze the abnormal vibrations and abnormal volumes that are correlated within a preset time period. When the number of statistical data exceeds a preset threshold, the abnormal vibration data and abnormal volume data are correlated as the correlation judgment result; otherwise, the correlation or weak correlation of the generated data is used as the correlation judgment result.

8. The escalator main shaft operation monitoring method as described in any one of claims 1 to 7, characterized in that, It also includes: Obtain abnormal operating parameter information and intervene in the operation of the drive motor. The intervention methods include: reducing the drive speed, driving acceleration, or stopping the drive.

9. A monitoring system for the operation of an escalator main shaft, characterized in that, Its application includes the escalator main shaft operation monitoring method according to any one of claims 1 to 8, the system comprising: The operation monitoring module is used to respond to the start signal of the drive motor, obtain the speed information of the escalator main shaft rotating under the drive of the power device and the output power of the drive motor, and generate the main shaft working parameter information and the motor working parameter information. An anomaly monitoring module includes a vibration monitoring unit and a volume monitoring unit, which are used to monitor the working status of the escalator main shaft in real time and generate working status monitoring data. The working status monitoring data is associated with the time of its generation, and the working status includes vibration status and volume status. The data extraction unit is used to acquire working status monitoring data, judge it according to preset conditions, locate and extract abnormal data, and generate abnormal status data. The data integration unit is used to obtain the time of occurrence of abnormal status data, then extract the spindle working parameter information and motor working parameter information at the same time, and respectively collect and generate abnormal working parameter information. The data judgment unit is used to obtain the frequency of abnormal states occurring during the operation of the escalator main shaft within a preset time period based on abnormal working parameter information, and then compare it with a preset threshold. When it exceeds the preset threshold, an early warning message is generated and the abnormal working parameter information within the preset time period is output.

10. A computer-readable storage medium, characterized in that: The storage medium stores at least one instruction, at least one program, code set, or instruction set, and the at least one instruction, at least one program, code set, or instruction set is loaded and executed by a processor to implement the escalator spindle operation monitoring method as described in any one of claims 1 to 8.

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