Escalator step fatigue life monitoring method, electronic equipment and system

Abstract

The invention relates to the technical field of escalators, and particularly provides an escalator step fatigue life monitoring method, electronic equipment and a system.The method comprises the steps that strain data, vibration data, temperature data and pressure data of each step of an escalator are obtained in real time; step stress amplitude is calculated based on the strain data; correcting the stress amplitude based on the vibration data, the temperature data and the pressure data to obtain a stress correction amplitude; and calculating the step fatigue life based on the stress correction amplitude, the vibration data, the temperature data and the pressure data, and determining a monitoring result. The problem that in the prior art, real-time, accurate and quantitative monitoring cannot be carried out on the fatigue life of the escalator steps is solved.

Description

Technical Field

[0001] The invention relates to the technical field of escalators, and in particular to a monitoring method, electronic equipment and system for the fatigue life of escalator steps. Background Art

[0002] As a core component of escalators, steps are subject to long-term cyclic loading, making them susceptible to fatigue damage. Accumulated fatigue damage can lead to serious failures such as cracks and fractures, potentially causing safety accidents. Therefore, it is necessary to monitor the fatigue life of steps.

[0003] Methods for monitoring the fatigue life of escalator steps can be divided into two categories: theoretical prediction and periodic testing. Theoretical predictions are typically based on idealized loading conditions and material properties and fail to reflect the actual loading conditions of the steps during operation. This results in significant discrepancies between the predicted results and the actual fatigue life of the steps. Periodic testing cannot achieve real-time monitoring and relies on manual experience, resulting in low accuracy and an inability to accurately quantify the remaining fatigue life of the steps.

[0004] Currently, no effective solution has been proposed to the problem that relevant technologies cannot conduct real-time, accurate and quantitative monitoring of the fatigue life of escalator steps. Summary of the Invention

[0005] The present invention provides a method, electronic equipment and system for monitoring the fatigue life of escalator steps, which at least solves the problem that related technologies cannot perform real-time, accurate and quantitative monitoring of the fatigue life of escalator steps.

[0006] In a first aspect, the present invention provides an embodiment of a method for monitoring the fatigue life of escalator steps, comprising: acquiring strain data, vibration data, temperature data, and pressure data of each step of the escalator in real time; calculating the stress amplitude of the step based on the strain data; correcting the stress amplitude based on the vibration data, temperature data, and pressure data to obtain a stress correction amplitude; calculating the fatigue life of the step based on the stress correction amplitude, vibration data, temperature data, and pressure data, and determining the monitoring results.

[0007] The present invention provides a method for monitoring the fatigue life of escalator steps. The method calculates the fatigue life of the steps based on stress correction amplitude, vibration data, temperature data, and pressure data. The formula is: ; in, represents the fatigue life of the step, Indicates the stress correction amplitude, the vibration data includes the vibration frequency of the step , temperature data includes the temperature of the steps , the pressure data includes the average pressure on the tread of the step and the maximum local pressure on the tread of the step ; represents the material constant of the step, represents the stress threshold, represents the material fatigue index of the step, represents the reference temperature, represents the temperature influence coefficient, represents the reference frequency, represents the frequency influence coefficient, Represents the load distribution factor.

[0008] The present invention provides a method for monitoring the fatigue life of escalator steps, which corrects the stress amplitude based on vibration data, temperature data and pressure data to obtain a stress correction amplitude. The method includes: dynamically calibrating the strain baseline of the strain signal based on the main vibration frequency in the vibration data to obtain a corrected strain baseline of the strain signal, wherein the strain data is obtained based on the strain signal; calculating the compensated strain value based on the temperature data and a temperature-strain compensation model; wherein the temperature-strain compensation model is trained based on pre-acquired temperature data and strain data; calculating the load distribution coefficient of the step tread based on the pressure data; and correcting the stress amplitude based on the corrected strain baseline, the compensated strain value and the tread load distribution coefficient to obtain a stress correction amplitude.

[0009] The present invention provides a method for monitoring the fatigue life of escalator steps. The method dynamically calibrates the strain baseline of the strain signal based on the main vibration frequency in the vibration data to obtain a corrected strain baseline of the strain signal. The method includes: decomposing the strain signal into multiple sub-band signals based on the wavelet packet decomposition algorithm and the main vibration frequency; determining the electromagnetic interference frequency band signal and the mechanical vibration frequency band signal based on the energy proportion of each sub-band signal; filtering out the electromagnetic interference frequency band signal, and reversely superimposing and offsetting the mechanical vibration frequency band signal to obtain a corrected strain baseline of the strain signal.

[0010] The present invention provides a method for monitoring the fatigue life of escalator steps, which uses a polynomial difference method to train a temperature-strain compensation model that meets preset performance requirements based on pre-acquired temperature data and strain data; and calculates the load distribution coefficient of the step tread based on pressure data, including: calculating the load distribution coefficient of the step tread based on the pressure data through a standard deviation weighted algorithm.

[0011] The present invention provides a method for monitoring the fatigue life of escalator steps, which is provided by an embodiment of the invention. After calculating the fatigue life of the steps based on stress correction amplitude, vibration data, temperature data and pressure data, the steps of determining the monitoring results include: when the current fatigue life of the steps does not meet the safety conditions based on a preset threshold, the monitoring result is that an alarm is required; or, when the current fatigue life of the steps meets the safety conditions based on a preset threshold, based on the current fatigue life of the steps and the historical fatigue life of the steps, the target fatigue life of the steps is predicted, wherein the target fatigue life is the fatigue life of the steps after a preset time from the current moment; when the target fatigue life of the steps does not meet the safety conditions based on the preset threshold, the monitoring result is that an alarm is required.

[0012] The present invention provides a method for monitoring the fatigue life of escalator steps, which obtains strain data, vibration data, temperature data and pressure data of the escalator steps in real time. The method includes: adjusting the sampling frequency according to the operating parameters and working time period of the escalator; and obtaining strain data, vibration data, temperature data and pressure data based on the sampling frequency.

[0013] In a second aspect, an embodiment of the present invention provides an electronic device comprising: a processor and a memory for storing a program, wherein the program comprises instructions, and when the instructions are executed by the processor, the processor executes a method according to any one of claims 1 to 7.

[0014] In a third aspect, an embodiment of the present invention provides a monitoring system for the fatigue life of escalator steps, comprising: a strain sensor, which acquires the strain data of each step of the escalator in real time and transmits it to a data processing module; an acceleration sensor, which acquires the vibration data of the step in real time and transmits it to a data processing module; a temperature sensor, which acquires the temperature data of the step in real time and transmits it to the data processing module; a pressure sensor, which acquires the pressure data of the step in real time and transmits it to the data processing module; the data processing module, which corrects the stress amplitude based on the vibration data, temperature data and pressure data to obtain the stress correction amplitude; based on the stress correction amplitude, vibration data, temperature data and pressure data, calculates the fatigue life of the step and determines the monitoring result; when the monitoring result requires an alarm, issues an alarm signal; and an alarm module, which receives the alarm signal and alarms.

[0015] The present invention provides an embodiment of a fatigue life monitoring system for escalator steps, in which a data processing module is connected to a strain sensor, an acceleration sensor, a temperature sensor, a pressure sensor, and an alarm module in a wireless communication manner; the strain sensor is arranged on the lower surface or side of each step; the acceleration sensor is arranged on the edge of the lower surface of each step; the temperature sensor is arranged on the lower surface of each step and is adjacent to the strain sensor; and the pressure sensor is arranged on the tread of each step; wherein the lower surface is the side facing away from the tread.

[0016] The present invention provides a method, electronic device and system for monitoring the fatigue life of escalator steps, which can obtain the strain data, vibration data, temperature data and pressure data of each step of the escalator in real time, providing a basis for real-time monitoring of the fatigue life of the escalator steps. Based on the vibration data, temperature data and pressure data, the stress amplitude is corrected to obtain the stress correction amplitude, which can eliminate the error caused by calculating the stress amplitude based solely on strain data, and improve the comprehensiveness of the monitoring data and the accuracy of the monitoring results. Based on the stress correction amplitude, vibration data, temperature data and pressure data, the fatigue life of the step is calculated, the monitoring results are determined, and the fatigue life of the step can be accurately quantified. This solves the problem that the relevant technology cannot perform real-time, accurate and quantitative monitoring of the fatigue life of the escalator steps. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] To more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other embodiments can be obtained based on these drawings without inventive effort.

[0018] Figure 1 The present invention is a flowchart of a method for monitoring the fatigue life of escalator steps in an embodiment of the present invention.

[0019] Figure 2 The present invention is a module diagram of a monitoring system for the fatigue life of escalator steps in an embodiment of the present invention.

[0020] Figure 3 Schematic diagram of the installation positions of various sensors in the embodiment of the present invention.

[0021] Figure 4 Schematic diagram of a stick-on thin film pressure sensor according to an embodiment of the present invention.

[0022] Figure 5 It is a structural diagram of an electronic device in an embodiment of the present invention.

[0023] The above drawings include the following reference numerals: 201-strain sensor; 202-acceleration sensor; 203-temperature sensor; 204-pressure sensor; 301-step. DETAILED DESCRIPTION

[0024] The following describes embodiments of the present invention in more detail with reference to the accompanying drawings. Although certain embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be construed as limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present invention. It should be understood that the drawings and embodiments of the present invention are for illustrative purposes only and are not intended to limit the scope of protection of the present invention.

[0025] As an indispensable vertical transportation tool in modern urban transportation and commercial buildings, escalators' safety and reliability are directly related to the safety of passengers and property. As a core component of escalators, steps are subjected to long-term cyclic loading and are prone to fatigue damage. Accumulation of fatigue damage can lead to serious failures such as cracks and fractures in the steps, potentially causing accidents. Therefore, accurate assessment and prediction of step fatigue life is of great significance.

[0026] Monitoring the fatigue life of escalator steps mainly relies on theoretical predictions and regular inspections.

[0027] Theoretical prediction methods: Based on material mechanics and fatigue theory, finite element analysis (FEA) is used to simulate the stress distribution of the steps under load, and fatigue life is estimated using the fatigue characteristic curve (SN curve) of the step material. However, this method has the following shortcomings: First, it relies on assumptions. Theoretical predictions are usually based on idealized loading conditions and material properties, which makes it difficult to accurately reflect the complex operating conditions in actual operation. Second, it lacks real-time data support and cannot reflect the load conditions of the steps in real time. This leads to a lag in the prediction results and a significant deviation from the actual fatigue life of the steps.

[0028] Periodic inspection: The damage state of the steps is assessed through regular visual inspections or nondestructive testing, such as ultrasonic testing or magnetic particle testing. However, this method has several drawbacks: First, the inspection cycle is long, and regular inspections cannot provide real-time monitoring, potentially leading to undetected potential faults. Second, the accuracy of the inspection results is highly dependent on the experience of the inspector, which can be subjective and uncertain. Furthermore, regular inspections can only qualitatively assess the damage state of the steps and cannot accurately quantify their fatigue life.

[0029] To do this, please refer to Figure 1As shown, the embodiment of the present invention provides a method for monitoring the fatigue life of escalator steps, including steps S101 to S104.

[0030] Step S101 , obtaining strain data, vibration data, temperature data and pressure data of each step of the escalator in real time.

[0031] Step S102: Calculate the stress amplitude of the step based on the strain data.

[0032] Step S103 , correcting the stress amplitude based on the vibration data, the temperature data, and the pressure data to obtain a stress correction amplitude.

[0033] Step S104 , calculating the fatigue life of the step based on the stress correction amplitude, vibration data, temperature data and pressure data, and determining the monitoring result.

[0034] It's understandable that real-time doesn't necessarily mean instantaneous synchronization; it's relative to the specific application scenario and sampling frequency. For example, in the case of fatigue life monitoring of escalator steps, corresponding sensors can be used to collect strain data, vibration data, temperature data, and pressure data, respectively. Real-time data collection can be achieved by setting the sampling frequency of each sensor. Those skilled in the art can also use integrated sensors with multi-type data acquisition capabilities to collect these data, or other electronic devices with similar functions, based on empirical data and actual conditions.

[0035] An escalator has multiple steps. This embodiment takes the simultaneous fatigue life monitoring of each step as an example for explanation. This can improve the comprehensiveness and accuracy of monitoring and facilitate comparative analysis of multi-step data.

[0036] In addition, when improving monitoring efficiency and reducing computing loss are the priority requirements, those skilled in the art may only perform fatigue life monitoring on the steps passing through the step recovery point of the escalator at the current moment, that is, only collect the above data at the step recovery point, and then determine the monitoring results based on the above steps S102 to S104. This method can be understood as a variation of the above monitoring method provided in this embodiment.

[0037] In addition, the acquired strain data, vibration data, temperature data and pressure data can be preprocessed based on existing technologies, such as filtering and denoising, which can improve data accuracy and facilitate subsequent calculation of stress amplitude, stress correction amplitude and step fatigue life. This embodiment will not be repeated here.

[0038] It is understood that strain data includes, but is not limited to, strain data of steps running without load and strain data of steps running with load. Vibration data includes, but is not limited to, the vibration frequencies of the steps corresponding to different amplitudes during the vibration process. Temperature data includes, but is not limited to, the surface temperature of the steps. Pressure data includes, but is not limited to, the average pressure and maximum local pressure on the step tread.

[0039] Calculating the stress amplitude of the steps based on the strain data belongs to the prior art and will not be described in detail in this embodiment.

[0040] Based on the vibration data, temperature data and pressure data, the stress amplitude is corrected to obtain the stress correction amplitude, which can eliminate the error of the stress amplitude calculated based solely on the strain data, improve the comprehensiveness of the monitoring data and the accuracy of the monitoring results, which will be further explained later in this embodiment.

[0041] It is understood that the fatigue life of the ladder step calculated based on the stress-corrected amplitude, vibration data, temperature data, and pressure data is the real-time fatigue life corresponding to the moment of data collection. This refers to the number of cycles, starting from the moment of data collection, that the ladder step will withstand repeated loads under normal operating conditions until fatigue damage occurs or performance degrades to the point where it cannot meet normal operating requirements. This embodiment provides two methods for determining monitoring results based on this real-time fatigue life. Please refer to the subsequent detailed descriptions.

[0042] For example, normal operating conditions can be determined by those skilled in the art based on the specific operating environment of the escalator and relevant national standards, such as GB / T 39078.1-2020 "Safety requirements for escalators and moving walks - Part 1: Basic safety requirements."

[0043] In summary, the escalator step fatigue life monitoring method provided in this embodiment obtains real-time strain data, vibration data, temperature data, and pressure data for each escalator step, providing a basis for real-time monitoring of the escalator step fatigue life. Based on the vibration data, temperature data, and pressure data, the stress amplitude is corrected to obtain a stress correction amplitude. This can eliminate the errors caused by calculating the stress amplitude based solely on strain data, improving the comprehensiveness of the monitoring data and the accuracy of the monitoring results. Based on the stress correction amplitude, vibration data, temperature data, and pressure data, the fatigue life of the step is calculated and the monitoring results are determined, which can accurately quantify the fatigue life of the step.

[0044] Preferably, step S101, acquiring strain data, vibration data, temperature data, and pressure data of the escalator steps in real time, includes adjusting a sampling frequency according to the operating parameters and working time period of the escalator, and acquiring the strain data, vibration data, temperature data, and pressure data based on the sampling frequency.

[0045] For example, when the escalator runs slowly or the working time period is off-peak, the sampling frequency is reduced to reduce energy consumption.

[0046] When the escalator runs at a high speed or the working time period is peak time, the sampling frequency should be increased to ensure the real-time and accuracy of the data.

[0047] Among them, the division criteria of slower and faster operating speeds, and off-peak periods and peak periods can be determined by those skilled in the art based on prior values ​​and actual conditions.

[0048] Preferably, step S103, correcting the stress amplitude based on the vibration data, temperature data and pressure data to obtain the stress correction amplitude, includes steps S1031 to S1034.

[0049] Step S1031 : dynamically calibrating the strain baseline of the strain signal based on the main vibration frequency in the vibration data to obtain a corrected strain baseline of the strain signal, wherein the strain data is obtained based on the strain signal.

[0050] The primary vibration frequency refers to the frequency corresponding to the maximum amplitude of the escalator step during its vibration. The strain baseline of the strain signal refers to the baseline value of the strain signal when the measured step is unloaded or in its initial state. The above-mentioned real-time strain data is obtained based on the real-time strain signal.

[0051] Step S1032 , calculating a compensated strain value based on the temperature data and a temperature-strain compensation model; wherein the temperature-strain compensation model is trained based on pre-acquired temperature data and strain data.

[0052] Step S1033: Calculate the load distribution coefficient of the step tread based on the pressure data.

[0053] Step S1034 , based on the corrected strain baseline, the compensated strain value and the tread load distribution coefficient, the stress amplitude is corrected to obtain a corrected stress amplitude.

[0054] It can be understood that, through the above steps S1031 to S1034, the error in calculating the stress amplitude based solely on the strain data can be eliminated, thereby improving the comprehensiveness of the monitoring data and the accuracy of the monitoring results.

[0055] Preferably, step S1031 dynamically calibrates the strain baseline of the strain signal based on the dominant vibration frequency in the vibration data to obtain a corrected strain baseline for the strain signal, including: decomposing the strain signal into multiple sub-band signals based on a wavelet packet decomposition algorithm and the dominant vibration frequency; determining an electromagnetic interference frequency band signal and a mechanical vibration frequency band signal based on the energy proportion of each sub-band signal; filtering out the electromagnetic interference frequency band signal, and performing reverse superposition and cancellation on the mechanical vibration frequency band signal to obtain a corrected strain baseline for the strain signal.

[0056] For example, filtering out electromagnetic interference frequency band signals through a low-pass filter and using active vibration control technology to reversely superimpose and offset mechanical vibration frequency band signals are both existing technologies and will not be described in detail in this embodiment.

[0057] The wavelet packet decomposition algorithm not only decomposes the low-frequency part of the signal, but also further subdivides the high-frequency part. It can use a set of orthogonal wavelet packet basis functions to represent the strain signal. By decomposing the strain signal at different scales and frequencies, the strain signal is decomposed into different frequency bands, thereby revealing the characteristics of the strain signal more comprehensively.

[0058] Through the above preferred manner, the stress amplitude error caused by vibration can be eliminated.

[0059] Preferably, a temperature-strain compensation model that meets preset performance requirements is obtained by training based on pre-acquired temperature data and strain data using a polynomial difference method.

[0060] For example, a quadratic or cubic polynomial is used to construct a temperature-strain compensation model. The polynomial coefficients are determined using the least squares method, and the evaluation metric is the mean square error or mean absolute error. This model is trained and fitted based on pre-acquired temperature and strain data until a compensation model that meets the preset performance requirements is obtained.

[0061] It is understood that temperature differences can cause metal materials to expand and contract. For example, when using strain gauges to collect strain signals and obtain strain data, even without external forces, the strain gauges can generate false strain due to the thermal expansion effect caused by temperature differences. Through the above preferred approach, a temperature-strain compensation model can be used to calculate compensated strain values, thereby eliminating stress amplitude errors caused by temperature differences.

[0062] Preferably, step S1033, calculating the load distribution coefficient of the step tread based on the pressure data, includes: calculating the load distribution coefficient of the step tread based on the pressure data by using a standard deviation weighted algorithm.

[0063] It is understandable that uneven pressure distribution on the step tread will cause stress concentration. Calculating the tread load distribution coefficient using the standard deviation weighted algorithm can quantify the degree of local stress concentration and help eliminate the stress amplitude error caused by uneven pressure distribution.

[0064] Preferably, in step S104, the formula for calculating the fatigue life of the step based on the stress correction amplitude, vibration data, temperature data and pressure data is: ; in, represents the fatigue life of the step, Indicates the stress correction amplitude, the vibration data includes the vibration frequency of the step , temperature data includes the temperature of the steps , the pressure data includes the average pressure on the tread of the step and the maximum local pressure on the tread of the step ; represents the material constant of the step, represents the stress threshold, represents the material fatigue index of the step, represents the reference temperature, represents the temperature influence coefficient, represents the reference frequency, represents the frequency influence coefficient, Represents the load distribution factor.

[0065] It is understandable that the stress on the step is lower than the stress threshold In this case, the steps do not suffer fatigue damage.

[0066] Material constants , stress threshold , material fatigue index , reference temperature , Temperature influence coefficient 、 Reference frequency, frequency influence coefficient All of these can be determined by those skilled in the art according to actual conditions and by querying standard data tables, and will not be described in detail in this embodiment.

[0067] The above formula can accurately quantify the fatigue life of the steps and improve monitoring accuracy and standardization.

[0068] Preferably, in step S104, after calculating the fatigue life of the step based on the stress correction amplitude, vibration data, temperature data, and pressure data, the step of determining the monitoring result includes: Mode 1: If the current fatigue life of the step does not meet the safety condition based on the preset threshold, the monitoring result is that an alarm is required. If the current fatigue life of the step meets the safety condition based on the preset threshold, the monitoring result is that no alarm is required and monitoring continues.

[0069] For example, the preset threshold is a preset number of cycles.

[0070] The safety condition based on the preset threshold is: when the fatigue life of the step is lower than the preset number of cycles, the step is unsafe; when the fatigue life of the step is higher than or equal to the preset number of cycles, the step is safe.

[0071] The current fatigue life of the step does not meet the safety condition based on the preset threshold value, which means that the current fatigue life of the step is lower than the preset number of cycles.

[0072] It is understandable that those skilled in the art can set other preset thresholds or other safety conditions based on preset thresholds according to actual conditions, as long as they can be compared with the current fatigue life of the step to determine whether an alarm is needed.

[0073] Alarm forms include but are not limited to sound and light alarms and information notifications.

[0074] When the maintenance personnel are notified via a display screen or remote monitoring system, the alarm information used to notify the maintenance personnel includes but is not limited to the step number, fatigue life and recommended replacement time, so as to facilitate the maintenance personnel to quickly locate and handle the problem.

[0075] Method 2: If the current fatigue life of a ladder does not meet the safety conditions based on a preset threshold, the target fatigue life of the ladder is predicted based on the current fatigue life of the ladder and its historical fatigue life. The target fatigue life is the fatigue life of the ladder after a preset time has passed from the current moment. If the target fatigue life of the ladder does not meet the safety conditions based on the preset threshold, the monitoring result indicates that an alarm is required. If the target fatigue life of the ladder meets the safety conditions based on the preset threshold, the monitoring result indicates that no alarm is required and monitoring continues.

[0076] Predicting the target fatigue life of the step based on the current fatigue life of the step and the historical fatigue life of the step can be achieved through existing technologies, which will not be described in detail in this embodiment.

[0077] It's understandable that Method 2 builds upon Method 1 and can predict future monitoring results, providing early warning capabilities and enhanced foresight and safety redundancy. Furthermore, Method 2 is based on current monitoring results, determined in real time, and thus offers enhanced real-time performance.

[0078] Please refer to Figure 2 As shown, the embodiment of the present invention also provides a system for monitoring the fatigue life of escalator steps, including: a strain sensor 201 that obtains strain data of each escalator step in real time and transmits it to a data processing module 205.

[0079] The acceleration sensor 202 acquires the vibration data of the steps in real time and transmits it to the data processing module 205 .

[0080] The temperature sensor 203 acquires the temperature data of the steps in real time and transmits it to the data processing module 205 .

[0081] The pressure sensor 204 acquires the pressure data of the steps in real time and transmits it to the data processing module 205 .

[0082] The data processing module 205 corrects the stress amplitude based on the vibration data, temperature data and pressure data to obtain the stress correction amplitude; calculates the fatigue life of the step based on the stress correction amplitude, vibration data, temperature data and pressure data, and determines the monitoring result; and issues an alarm signal when the monitoring result requires an alarm.

[0083] The alarm module 206 receives the alarm signal and generates an alarm.

[0084] To monitor the fatigue life of each escalator step in real time, the number of strain sensors 201, acceleration sensors 202, temperature sensors 203, and pressure sensors 204 is greater than or equal to the number of escalator steps. That is, each step is equipped with at least one strain sensor 201, one acceleration sensor 202, one temperature sensor 203, and one pressure sensor 204. Those skilled in the art can determine the number and location of each sensor for each step based on actual conditions.

[0085] For example, see Figure 3 As shown, five strain sensors 201 , one acceleration sensor 202 , three temperature sensors 203 , and two pressure sensors 204 are configured on the step 301 .

[0086] It is understood that the connection between each sensor and the data processing module, as well as between the data processing module and the alarm module, can be achieved through either wired or wireless communication. Wired communication offers greater stability, while wireless communication offers greater convenience and flexibility. Those skilled in the art can determine the specific connection method based on actual circumstances.

[0087] The escalator step fatigue life monitoring system provided in this embodiment acquires real-time strain data, vibration data, temperature data, and pressure data for each escalator step, providing a basis for real-time monitoring of the escalator step fatigue life. Based on the vibration, temperature, and pressure data, the stress amplitude is corrected to obtain a corrected stress amplitude. This eliminates errors caused by calculating the stress amplitude based solely on strain data, improving the comprehensiveness of the monitoring data and the accuracy of the monitoring results. Based on the corrected stress amplitude, vibration data, temperature data, and pressure data, the step fatigue life is calculated and the monitoring results are determined, enabling accurate quantification of the step fatigue life.

[0088] Preferably, the data processing module 205 is connected to the strain sensor 201 , the acceleration sensor 202 , the temperature sensor 203 , the pressure sensor 204 , and the alarm module 206 in a wireless communication manner, which can avoid interference with the movement of the steps due to wiring.

[0089] For example, the data processing module 205 is connected to the strain sensor 201 , the acceleration sensor 202 , the temperature sensor 203 , the pressure sensor 204 , and the alarm module 206 via Bluetooth, which has the advantages of low power consumption, low cost, and easy integration.

[0090] Preferably, the strain sensor 201 is set on the lower surface or side of each step to measure the strain change after the step is loaded and reflect the stress state of the step. It can be fixed with a high-strength adhesive or a magnetic fixing device to ensure that the strain sensor 201 is tightly attached to the lower surface of the corresponding step and does not interfere with the movement of the step. For example, Figure 3 The five strain sensors 201 shown are all disposed on the lower surface of the step 301 .

[0091] The evaluation standard of the high strength of the high-strength adhesive can be determined by those skilled in the art based on empirical values.

[0092] It can be understood that the lower surface is the side facing away from the tread.

[0093] The acceleration sensor 202 is set at the edge of the lower surface of each step to measure the vibration characteristics of the step after being loaded and reflect the dynamic response of the step. It can be fixed with a magnetic fixing device or a detachable clamp to ensure that the acceleration sensor 202 works stably in a vibration environment and does not damage the step structure.

[0094] The temperature sensor 203 is set on the lower surface of each step and is adjacent to the strain sensor. It is used to measure the temperature change of the step after being loaded and reflect the thermal effect of the step. It can be fixed with thermal adhesive or magnetic fixing device to ensure that the temperature sensor 203 can accurately sense the temperature change of the corresponding step and does not interfere with the movement of the step.

[0095] The pressure sensor 204 is set on the tread of each step to measure the pressure distribution of the step after it is loaded, reflecting the load distribution of the step. It is necessary to ensure that it does not affect the passage of passengers and the movement of the steps.

[0096] Preferably, the pressure sensor 204 is Figure 4 The adhesive-type thin-film pressure sensor shown can be non-destructively mounted on a step.

[0097] Preferably, the data processing module 205 is configured with a database, which can store the data collected by each sensor, as well as the calculated stress amplitude and fatigue life, support historical data query and trend analysis, and provide data support for maintenance decisions.

[0098] Preferably, the monitoring system provided in this embodiment further includes a visualization module. The visualization module is connected to the data processing module 205 and the alarm module 206 via wireless communication, enabling remote monitoring and data sharing, allowing maintenance personnel to easily view ladder status anytime, anywhere, and providing a data export function to support further data analysis and research.

[0099] The present invention also provides an electronic device including at least one processor and a memory communicatively connected to the at least one processor. The memory stores a computer program executable by the at least one processor, wherein the computer program, when executed by the at least one processor, causes the electronic device to perform the method of the present invention.

[0100] refer to Figure 5 , a structural block diagram of an electronic device that can be used as a server or client of an embodiment of the present invention will now be described, which is an example of a hardware device that can be applied to various aspects of the present invention. The electronic device is intended to represent various forms of digital electronic computer devices, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or required herein.

[0101] like Figure 5 As shown, the electronic device includes a computing unit 501, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory (ROM) 502 or a computer program loaded from a storage unit 508 into a random access memory (RAM) 503. RAM 503 can also store various programs and data required for the operation of the electronic device. The computing unit 501, ROM 502, and RAM 503 are interconnected via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0102] Multiple components within the electronic device are connected to the I / O interface 505, including an input unit 506, an output unit 507, a storage unit 508, and a communication unit 509. The input unit 506 can be any type of device capable of inputting information into the electronic device. The input unit 506 can receive input digital or character information and generate key signal inputs related to user settings and / or function control of the electronic device. The output unit 507 can be any type of device capable of presenting information and can include, but is not limited to, a display, a speaker, a video / audio output terminal, a vibrator, and / or a printer. The storage unit 508 can include, but is not limited to, a magnetic disk or an optical disk. The communication unit 509 allows the electronic device to exchange information / data with other devices via a computer network such as the Internet and / or various telecommunication networks, and can include, but is not limited to, a modem, a network card, an infrared communication device, and / or a wireless communication transceiver, such as a Bluetooth device, a WiFi device, a WiMax device, a cellular communication device, and / or the like.

[0103] The computing unit 501 can be any general-purpose and / or specialized processing component with processing and computing capabilities. Some examples of the computing unit 501 include, but are not limited to, a CPU, a graphics processing unit (GPU), various specialized artificial intelligence (AI) computing units, various computing units that run machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above. For example, in some embodiments, the method embodiments of the present invention may be implemented as a computer program tangibly embodied in a machine-readable medium, such as a storage unit 508. In some embodiments, part or all of the computer program may be loaded and / or installed onto the electronic device via the ROM 502 and / or the communication unit 509. In some embodiments, the computing unit 501 may be configured to perform the above-described methods by any other suitable means (e.g., via firmware).

[0104] The present invention also provides a non-transitory machine-readable medium storing a computer program, wherein the computer program, when executed by a processor of a computer, is used to cause the computer to execute the method of the present invention.

[0105] The present invention also provides a computer program product including a computer program, wherein the computer program, when executed by a processor of a computer, is used to cause the computer to execute the method of the present invention.

[0106] The computer programs for implementing the methods of the embodiments of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that when the computer program is executed by the processor or controller, the functions / operations specified in the flow chart and / or block diagram are implemented. The computer program may be executed entirely on the machine, partially on the machine, as a stand-alone software package, partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0107] In the context of the present invention, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable signal medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, or infrared system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), optical fibers, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0108] It should be noted that the term "including" and its variations used in the embodiments of the present invention are open inclusions, that is, "including but not limited to". The term "based on" means "at least partially based on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". The modifications of "one" and "multiple" mentioned in the embodiments of the present invention are illustrative and not restrictive. Those skilled in the art should understand that unless otherwise clearly indicated in the context, they should be understood as "one or more". The descriptions of the terms "first", "second", etc. are for descriptive purposes only and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features.

[0109] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in the embodiments of the present invention are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions, and corresponding operation entrances shall be provided for users to choose to authorize or refuse.

[0110] The various steps described in the method implementation methods provided by the embodiments of the present invention may be performed in different orders and / or in parallel. In addition, the method implementation methods may include additional steps and / or omit the steps shown. The scope of protection of the present invention is not limited in this respect.

[0111] The term "embodiment" in this specification refers to specific features, structures or characteristics described in conjunction with the embodiment that can be included in at least one embodiment of the present invention. The appearance of this phrase in various places in the specification does not necessarily mean the same embodiment, nor does it mean that it is mutually exclusive with other embodiments and is independent or optional. The various embodiments in this specification are described in a related manner, and the same or similar parts between the various embodiments are referenced to each other. In particular, for the device, equipment, and system embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the relevant parts refer to the partial description of the method embodiment.

[0112] The above-described embodiments merely represent several implementation methods of the present invention, and while the descriptions are relatively specific and detailed, they should not be construed as limiting the scope of protection. It should be noted that a person of ordinary skill in the art would be able to make various modifications and improvements without departing from the scope of the present invention, all of which fall within the scope of protection of the present invention. Therefore, the scope of protection of the present invention shall be determined by the appended claims.

Claims

1. A method for monitoring the fatigue life of escalator steps, characterized in that: include: Obtain real-time strain data, vibration data, temperature data and pressure data of each escalator step; calculating a stress amplitude of the step based on the strain data; Correcting the stress amplitude based on the vibration data, the temperature data, and the pressure data to obtain a corrected stress amplitude; The fatigue life of the step is calculated based on the stress correction amplitude, the vibration data, the temperature data, and the pressure data, and a monitoring result is determined.

2. The method according to claim 1, characterized in that Based on the stress correction amplitude, the vibration data, the temperature data, and the pressure data, the formula for calculating the fatigue life of the step is: ； in, represents the fatigue life of the step, represents the stress correction amplitude, and the vibration data includes the vibration frequency of the step , the temperature data includes the temperature of the step , the pressure data includes the average pressure of the tread of the step and the maximum local pressure on the tread of the step ; represents the material constant of the step, represents the stress threshold, represents the material fatigue index of the step, represents the reference temperature, represents the temperature influence coefficient, represents the reference frequency, represents the frequency influence coefficient, Represents the load distribution factor.

3. The method according to claim 1, characterized in that Correcting the stress amplitude based on the vibration data, the temperature data, and the pressure data to obtain a stress correction amplitude includes: Dynamically calibrating a strain baseline of a strain signal based on a main vibration frequency in the vibration data to obtain a corrected strain baseline of the strain signal, wherein the strain data is obtained based on the strain signal; Calculating a compensated strain value based on the temperature data and a temperature-strain compensation model; wherein the temperature-strain compensation model is trained based on pre-acquired temperature data and strain data; Calculating a load distribution coefficient of the step tread based on the pressure data; The stress amplitude is corrected based on the corrected strain baseline, the compensated strain value, and the tread load distribution coefficient to obtain the stress correction amplitude.

4. The method according to claim 3, characterized in that Dynamically calibrating the strain baseline of the strain signal based on the main vibration frequency in the vibration data to obtain a corrected strain baseline of the strain signal includes: Decomposing the strain signal into a plurality of sub-band signals based on a wavelet packet decomposition algorithm and the main vibration frequency; Determining an electromagnetic interference frequency band signal and a mechanical vibration frequency band signal based on the energy proportion of each sub-frequency band signal; The electromagnetic interference frequency band signal is filtered out, and the mechanical vibration frequency band signal is reversely superimposed and offset to obtain a corrected strain baseline of the strain signal.

5. The method according to claim 3, characterized in that The temperature-strain compensation model that meets the preset performance requirements is trained based on the pre-acquired temperature data and strain data using a polynomial difference method; Calculating the load distribution coefficient of the step tread based on the pressure data includes: calculating the load distribution coefficient of the step tread based on the pressure data by a standard deviation weighted algorithm.

6. The method according to claim 1, characterized in that After calculating the fatigue life of the step based on the stress correction amplitude, the vibration data, the temperature data, and the pressure data, the step of determining the monitoring result includes: In the case where the current fatigue life of the step does not meet the safety condition based on the preset threshold, the monitoring result is that an alarm is required; Alternatively, if the current fatigue life of the step meets the safety condition based on the preset threshold, a target fatigue life of the step is predicted based on the current fatigue life of the step and the historical fatigue life of the step; wherein the target fatigue life is the fatigue life of the step after a preset time has passed from the current moment; When the target fatigue life of the step does not meet the safety condition based on the preset threshold, the monitoring result is that an alarm is required.

7. The method according to claim 1, characterized in that Real-time acquisition of escalator step strain data, vibration data, temperature data, and pressure data, including: Adjusting the sampling frequency according to the operating parameters and working time period of the escalator; The strain data, the vibration data, the temperature data, and the pressure data are acquired based on the sampling frequency.

8. An electronic device comprising: A processor and a memory storing a program, wherein the program comprises instructions which, when executed by the processor, cause the processor to perform the method according to any one of claims 1 to 7.

9. A monitoring system for escalator step fatigue life, characterized in that: include: Strain sensor, which obtains the strain data of each step of the escalator in real time and transmits it to the data processing module; An acceleration sensor, which acquires vibration data of the step in real time and transmits it to a data processing module; A temperature sensor is used to obtain temperature data of the ladder in real time and transmit the data to the data processing module; A pressure sensor, which obtains the pressure data of the step in real time and transmits it to the data processing module; The data processing module corrects the stress amplitude based on the vibration data, the temperature data and the pressure data to obtain a stress correction amplitude; Calculating the fatigue life of the step based on the stress correction amplitude, the vibration data, the temperature data, and the pressure data, and determining a monitoring result; and issuing an alarm signal if the monitoring result indicates that an alarm is required; The alarm module receives the alarm signal and generates an alarm.

10. The system according to claim 9, characterized in that The data processing module is connected to the strain sensor, the acceleration sensor, the temperature sensor, the pressure sensor, and the alarm module in a wireless communication manner; The strain sensor is arranged on the lower surface or side surface of each step; The acceleration sensor is arranged at the edge of the lower surface of each step; The temperature sensor is arranged on the lower surface of each step and is adjacent to the strain sensor; The pressure sensor is arranged on the tread of each step; Wherein, the lower surface is the side facing away from the tread.

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