Real-time early warning method and system for multi-mode monitoring data fusion of escalator driving main shaft

Abstract

The invention discloses a real-time early warning method and system for multi-mode monitoring data fusion of an escalator driving main shaft, and relates to the technical field of elevator monitoring and early warning. Comprising the steps that basic parameter information of a target escalator main shaft is obtained, basic information items are obtained, and the basic information items are used for representing use parameters and contrast parameters of the target escalator main shaft; and obtaining a reference threshold value of the target escalator main shaft based on the basic information item. According to the method, after a reference vibration threshold value and a reference temperature threshold value which are matched with working conditions are calculated through a reference vibration threshold value calculation formula and a reference temperature threshold value calculation formula respectively, a vibration correction factor and a temperature and humidity correction factor are created, and the reference vibration threshold value and the reference temperature threshold value are calculated respectively; on the basis of different working conditions of the main shaft of the escalator, threshold adjustment is carried out according to the real-time environment, early warning is carried out according to the threshold after threshold adjustment, and the real-time early warning effect based on multi-modal monitoring data is achieved.

Description

Technical Field

[0001] This invention relates to the field of elevator monitoring and early warning technology, specifically to a real-time early warning method and system for multimodal monitoring data fusion of escalator drive shafts. Background Technology

[0002] The main shaft of an escalator drive usually refers to the main shaft assembly in the drive unit, which is used to transmit the torque output by the motor and realize the operation of the escalator chain or belt. The main shaft is the main shaft that connects the motor and the reducer, as well as the transmission components such as chain wheels and pulleys. It bears the torque and ensures transmission accuracy. The reason for monitoring and warning the main shaft is to ensure the safety, reliability and availability of the escalator, reduce downtime due to failure, and detect hidden faults in advance. The main shaft is a key component that bears large torque and cyclic loads. If there are small radial / axial displacements, bearing wear, premature wear of gear teeth, etc., without monitoring, it may develop into a sudden stop or dangerous failure.

[0003] A cloud-based online monitoring and early warning system and method for escalators, with patent publication number CN110002329A, detects the operational status of key components of all escalators within a station by setting up a station-level monitoring and early warning system. Once an abnormality is detected in the operational status of a key component of an escalator, the station-level monitoring and early warning system issues a risk warning, enabling early risk warning of escalator malfunctions and preventing actual escalator failures. Simultaneously, the component risk warning information and its corresponding escalator code are sent to a regional network cloud platform. A central data integration service system within the network uses cluster analysis to classify all escalators within the network cloud platform. Based on the distribution characteristics of the component risk warning information for the same type of escalator, a database of performance parameters for key escalator components is established. This allows for risk prediction for various types of escalators based on the distribution characteristics of the component risk warning information.

[0004] In the process of elevator monitoring and early warning, the above-mentioned and similar technical solutions rely on real-time acquisition of various monitoring data of the escalator drive shaft and judgment of whether the monitoring data is normal or whether it has reached the predetermined alarm threshold to issue an alarm. However, due to the service life, accumulated stress and number of maintenance, the alarm threshold that the escalator drive shaft can withstand is constantly changing. At this time, it is necessary to adjust the alarm threshold according to the actual situation to prevent false alarms or failure to issue timely warnings when danger occurs. Summary of the Invention

[0005] The purpose of this invention is to provide a real-time early warning method and system for multimodal monitoring data fusion of escalator drive shafts, so as to solve the problems mentioned in the background art.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a real-time early warning method for multi-modal monitoring data fusion of escalator drive shafts, comprising: Obtain the basic parameter information of the target escalator main shaft to obtain the basic information item. The basic information item is used to represent the usage parameters and reference parameters of the target escalator main shaft. Based on the basic information items, the reference threshold of the target escalator main shaft is obtained, and the reference threshold item is obtained. The reference threshold item is used to represent the real-time alarm threshold of the target escalator main shaft during operation. Multimodal information is acquired through multimodal data monitoring equipment to obtain a monitoring information set. The monitoring information set includes at least one monitoring information item acquired by the monitoring equipment. Based on the monitoring information item, an information correction factor is obtained to obtain a correction factor item. Based on the combination of the correction factor term and the benchmark threshold term, the threshold alarm data of the target escalator main shaft is obtained, and then the threshold warning term is obtained. Real-time comparison data of the target escalator main shaft is obtained based on the monitoring information items. Real-time comparison items are obtained, and the comparison relationship between the real-time comparison items and the threshold warning items is determined to obtain the warning information items. Warning feedback is output based on the warning information items, thereby realizing real-time warning based on multimodal monitoring data.

[0007] Furthermore, the basic parameter information includes service life, maintenance records, allowable stress of materials, and cumulative stress. The methods for obtaining these basic information items include: Based on the maintenance system records, the maintenance information and service life of the target escalator main shaft are obtained. The maintenance information includes the number of major maintenance operations. Set up an acquisition sensor, and obtain the cumulative stress based on the historical integral information of the target escalator main shaft acquired by the acquisition sensor; Obtain the material report information of the target escalator spindle, obtain the reference stress information, and then obtain the allowable stress of the material.

[0008] Furthermore, the reference threshold includes a reference vibration threshold, and the method for obtaining the reference threshold includes: Create a formula for calculating the reference vibration threshold: ; in As the reference vibration threshold, To set the vibration value, As an aging factor, For fatigue level, As a health index; Methods for obtaining aging factors include creating aging factor calculation formulas: ; in This refers to the service life; Methods for obtaining fatigue levels include creating a fatigue level calculation formula: ; in This is the cumulative stress; Methods for obtaining the health index include creating a health index calculation formula: ; in This refers to the number of repairs.

[0009] Furthermore, the reference threshold also includes a reference temperature threshold, and the method for obtaining the reference threshold includes: Create a formula for calculating the reference temperature threshold: ; in As the reference temperature threshold, To set the temperature value.

[0010] Furthermore, the multimodal information includes pedal load, load eccentricity, ambient temperature, ambient humidity, and real-time spindle temperature. The method for acquiring the monitoring information set includes: Obtain the tread image information of the target escalator to obtain tread information items. Based on the tread information items, set at least two placement points to obtain the first tread support point and the second tread support point. A load sensor is set based on the first pedal support point, and a strain gauge sensor is set based on the second pedal support point. The pedal load and load eccentricity are obtained based on the load sensor and the strain gauge sensor. Set up at least two environmental sensing modules, which include a combination of temperature sensing modules and humidity sensing modules, and obtain the ambient temperature and ambient humidity based on the environmental sensing modules; Set a judgment range, define the spindle range based on the judgment range, and set at least two infrared sensing devices to obtain the real-time temperature of the spindle.

[0011] Furthermore, the information correction factor includes a vibration correction factor, and the method for obtaining the correction factor term includes: Create the formula for calculating the vibration correction factor: ; in For vibration correction factor, For pedal load, This is the load eccentricity.

[0012] Furthermore, the information correction factor also includes a temperature and humidity correction factor, and the method for obtaining the correction factor term includes... Create the formula for calculating the temperature and humidity correction factor: ; in Temperature and humidity correction factor, To calculate the temperature difference, To calculate the temperature difference based on ambient humidity, the method includes creating a formula for calculating the temperature difference: ; in Real-time spindle temperature For ambient temperature, , These are the environmental weights and the main axis weights.

[0013] Furthermore, the method for obtaining the warning information item includes: Based on real-time comparison items, at least two comparison thresholds are set. The comparison thresholds are fixed percentage thresholds. The real-time comparison items are classified into levels based on the comparison thresholds, thereby obtaining the warning level items. Based on the warning level setting, the warning information output is compared and then the warning information item is obtained.

[0014] The real-time early warning system for multi-modal monitoring data fusion of escalator drive spindles utilizes the aforementioned real-time early warning method for multi-modal monitoring data fusion of escalator drive spindles, including: Information acquisition module: Acquires basic parameter information of the target escalator main shaft, and obtains basic information items. The basic information items are used to represent the usage parameters and reference parameters of the target escalator main shaft. Threshold calculation module: Based on the basic information items, obtain the reference threshold of the target escalator main shaft to obtain the reference threshold item. The reference threshold item is used to represent the real-time alarm threshold of the target escalator main shaft during operation. Threshold correction module: Multimodal information is acquired through multimodal data monitoring equipment to obtain a monitoring information set. The monitoring information set includes at least one monitoring information item acquired by the monitoring equipment. Based on the monitoring information item, an information correction factor is obtained to obtain a correction factor item. Based on the combination of the correction factor item and the benchmark threshold item, the threshold alarm data of the target escalator main shaft is obtained, and then the threshold warning item is obtained. Early warning output module: Based on the monitoring information items, the module obtains real-time comparison data of the target escalator main shaft, obtains real-time comparison items, judges the comparison relationship between the real-time comparison items and the threshold early warning items, obtains early warning information items, and outputs early warning feedback based on the early warning information items, thereby realizing real-time early warning based on multimodal monitoring data.

[0015] Compared with the prior art, the beneficial effects of the present invention are: This real-time early warning method and system for multimodal monitoring data fusion of escalator drive shafts acquires data from the escalator drive shaft under different operating conditions. Then, using reference vibration threshold calculation formulas and reference temperature threshold calculation formulas, it calculates reference vibration thresholds and reference temperature thresholds to match the operating conditions. Furthermore, it creates vibration correction factors based on different escalator loads and load eccentricities, and temperature and humidity correction factors based on different ambient temperatures and humidity levels. These are then adjusted according to the reference vibration threshold and reference temperature threshold, respectively. Based on different escalator drive shaft operating conditions, the thresholds are adjusted according to the real-time environment to ensure they match the escalator drive shaft operating conditions and the real-time environment. Early warning is then issued based on the adjusted thresholds, achieving a real-time early warning effect based on multimodal monitoring data. Attached Figure Description

[0016] Figure 1 This is a schematic diagram of the overall process of the present invention; Figure 2 This is a schematic diagram of the basic parameter information structure of the present invention; Figure 3 This is a schematic diagram of the process for obtaining the pedal load and load eccentricity according to the present invention; Figure 4 This is a schematic diagram showing the relationship between the infrared sensing device and the judgment range of the present invention; Figure 5 This is a schematic diagram showing the positions of the first support point and the second support point of the present invention. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] In elevator monitoring and early warning systems, traditional solutions rely on real-time acquisition of various monitoring data from the escalator drive shaft and determining the escalator's operating status based on whether these data exceed preset alarm thresholds. While this method achieves a certain level of monitoring for safe elevator operation, the escalator drive shaft is not a static mechanical component. With increasing service life, the materials gradually age, reducing its load-bearing capacity. Prolonged exposure to operating loads leads to stress accumulation, accelerating fatigue damage. Frequent maintenance, while extending service life, can also slightly impact the shaft's structure and performance with each repair. These factors combined cause the actual load-bearing capacity of the drive shaft to change over time, no longer meeting the initially set alarm thresholds. When the actual load-bearing capacity of the drive shaft decreases, even if the monitoring data fluctuates within the normal range, it may still exceed the original alarm threshold, triggering an alarm. Such false alarms not only interfere with normal operation but also... Routine elevator operation and maintenance can reduce maintenance personnel's trust in early warning information, causing them to become complacent about truly important warning signals. The real-time early warning method based on multi-modal monitoring data fusion for escalator drive shafts provided in this application, after acquiring the escalator drive shaft values ​​under different operating conditions, calculates benchmark vibration thresholds and benchmark temperature thresholds matching the operating conditions using benchmark vibration threshold calculation formulas and benchmark temperature threshold calculation formulas, respectively. Furthermore, it creates vibration correction factors based on different escalator loads and load eccentricities, and temperature and humidity correction factors based on different ambient temperatures and humidity levels. These are then adjusted according to the benchmark vibration thresholds and benchmark temperature thresholds, ensuring that the thresholds match the escalator drive shaft's operating conditions and the real-time environment. Early warnings are then issued based on the adjusted thresholds, achieving a real-time early warning effect based on multi-modal monitoring data. Figure 1 As shown, it includes steps S100-S600.

[0019] Step S100: Obtain the basic parameter information of the target escalator main shaft to obtain the basic information item.

[0020] It is important to note that, such as Figure 2 As shown, the basic information item represents the usage parameters and reference parameters of the target escalator spindle. The basic parameter information includes service life, maintenance records, allowable stress of materials, and cumulative stress. The method for obtaining the basic information item includes: obtaining the maintenance information and service life of the target escalator spindle based on maintenance system records, including the number of major maintenance; setting up an acquisition sensor, obtaining the historical integral information of the target escalator spindle based on the acquisition sensor, and obtaining the cumulative stress; obtaining the material report information of the target escalator spindle, obtaining the reference stress information, and then obtaining the allowable stress of materials.

[0021] Specifically, the maintenance system records the number of major repairs and service life of the target escalator main shaft. The sensor used for acquisition is a torque sensor. Based on the torque sensor, the historical integral information of the target escalator main shaft, that is, the cumulative stress, is obtained. At the same time, the material report information of the target escalator main shaft is obtained, and the reference stress information is obtained, thereby obtaining the allowable stress of the material.

[0022] Step S200: Obtain the reference threshold of the target escalator main shaft based on the basic information item, and obtain the reference threshold item.

[0023] It should be noted that the baseline threshold term is used to represent the real-time alarm threshold of the target escalator main shaft during operation. The baseline threshold includes the baseline vibration threshold, and the methods for obtaining the baseline threshold term include: Create a formula for calculating the reference vibration threshold: ; in As the reference vibration threshold, The vibration value is set based on the allowable stress of the material; the higher the allowable stress, the higher the set vibration value. As an aging factor, For fatigue level, As a health index; Methods for obtaining aging factors include creating aging factor calculation formulas: ; in This refers to the service life; Methods for obtaining fatigue levels include creating a fatigue level calculation formula: ; in This is the cumulative stress; Methods for obtaining the health index include creating a health index calculation formula: ; in This refers to the number of repairs.

[0024] In the specific implementation process, it is now necessary to calculate the reference vibration threshold for the main shaft of an escalator. Firstly, the maintenance system records that the main shaft has been in use for 7 years, with one major repair, and the drive sprocket was replaced in the 5th year. The torque sensor shows the cumulative stress of the main shaft is 3.2 × 10⁷ N·m·h. The main shaft material report indicates it is made of Q235 steel with an allowable stress of 235 MPa. The vibration value is set at 8 mm / s. Then, the health index calculation formula is used: ; The health index of the spindle was calculated to be 0.9. Then, according to the fatigue calculation formula: ; The fatigue degree of the spindle was calculated as follows: ; Then, according to the aging factor calculation formula: ; The aging factor of the spindle was calculated as follows: ; At this point, the calculation formula for the reference vibration threshold is as follows: ; The calculated reference vibration threshold for this spindle is: ; That is, the reference vibration threshold of the spindle is 4.87 mm / s. The final conclusion is that due to spindle aging and fatigue accumulation, the vibration threshold of the spindle has decreased from 8 mm / s to 4.87 mm / s.

[0025] It should be noted that the benchmark threshold also includes the benchmark temperature threshold, and the methods for obtaining the benchmark threshold include: Create a formula for calculating the reference temperature threshold: ; in As the reference temperature threshold, The set temperature value is 85℃, which represents the alarm temperature of the spindle during operation.

[0026] In the specific implementation process, it is now necessary to calculate the reference temperature threshold for the main shaft of an escalator. The maintenance system records that the main shaft has been in use for 7 years and has undergone 1 major repair. The calculated aging factor is 0.295, and the health index is 0.9. At this point, the reference temperature threshold is calculated using the following formula: ; The calculated reference temperature threshold for this spindle is: ; The final conclusion is that due to spindle aging and cumulative fatigue, the spindle's temperature threshold decreased from 85℃ to 73.1℃.

[0027] Step S300: Obtain multimodal information through multimodal data monitoring equipment to obtain a monitoring information set.

[0028] It is important to note that, such as Figures 3-4As shown, the monitoring information set includes at least one monitoring information item acquired by a monitoring device. The multimodal information includes tread load, load eccentricity, ambient temperature, ambient humidity, and real-time spindle temperature. The method for acquiring the monitoring information set includes: acquiring image information of the treads of the target escalator to obtain tread information items; based on the tread information items, setting at least two placement points to obtain a first tread support point and a second tread support point; setting a load sensor based on the first tread support point and a strain gauge sensor based on the second tread support point; acquiring the tread load and load eccentricity based on the load sensor and the strain gauge sensor; setting at least two environmental sensing modules, which include a set of temperature sensing modules and humidity sensing modules; acquiring the ambient temperature and ambient humidity based on the environmental sensing modules; setting a judgment range; defining the range of the spindle based on the judgment range; and setting at least two infrared sensing devices to acquire the real-time spindle temperature.

[0029] Specifically, such as Figure 5 As shown, the system first acquires image information of the escalator steps using a camera component, such as a high-definition camera. Four support points are set up, two as first support points and the other two as second support points. Load sensors, such as pressure sensors, are set up at the first support points to acquire load data of the steps. Strain gauge sensors are set up at the edges of the steps to capture eccentric torque indications, thereby obtaining the load eccentricity. Then, two environmental sensing modules, each including a temperature sensing module and a humidity sensing module, acquire temperature and humidity data. The average value of the acquired data is used as the ambient temperature and ambient humidity. The set judgment range is 50mm. The range is divided into 50mm circles with the outer edge of the main shaft as the center. Two infrared sensors are set up to acquire the real-time temperature of the main shaft.

[0030] Step S400: Obtain the information correction factor based on the monitoring information item to obtain the correction factor item.

[0031] It should be noted that the information correction factor includes the vibration correction factor, and the methods for obtaining the correction factor term include: Create the formula for calculating the vibration correction factor: ; in For vibration correction factor, For pedal load, This is the load eccentricity.

[0032] Specifically, after obtaining the reference vibration threshold and reference temperature threshold of the escalator spindle, the vibration value of the escalator spindle will fluctuate constantly as the load and load eccentricity of the escalator are different. Therefore, it is necessary to adjust the reference vibration threshold by means of a vibration correction factor.

[0033] In the specific implementation process, it is now necessary to adjust the reference vibration threshold of a certain escalator main shaft. The tread load of the escalator main shaft is found to be 82%, and the load eccentricity is 0.28, i.e., the left-right load difference ratio. At this point, the vibration correction factor is calculated using the following formula: ; The vibration correction factor was calculated as follows: ; That is, under the influence of pedal load and load eccentricity, the vibration correction factor is 1.062.

[0034] It should be noted that the information correction factor also includes a temperature and humidity correction factor. The method for obtaining the correction factor includes: creating a formula for calculating the temperature and humidity correction factor. ; in Temperature and humidity correction factor, To calculate the temperature difference, To calculate the temperature difference based on ambient humidity, the method includes creating a formula for calculating the temperature difference: ; in Real-time spindle temperature For ambient temperature, , For environmental weights and main axis weights, these are set values. , The values ​​are 0.8 and 0.2 respectively.

[0035] In the specific implementation process, it is now necessary to adjust the reference temperature threshold of a certain escalator main shaft. The obtained temperature of the escalator main shaft is 52℃, the relative humidity is 75%, and the ambient temperature is 18℃. At this time, according to the temperature difference calculation formula: ; The calculated temperature difference is: ; The calculated temperature difference is 23.2℃. Then, the temperature and humidity correction factor is calculated using the following formula: ; The calculated temperature and humidity correction factor is: ; The final result shows that with a spindle temperature of 52℃, relative humidity of 75%, and ambient temperature of 18℃, the temperature and humidity correction factor is 0.979.

[0036] Step S500: Based on the combination of the correction factor term and the benchmark threshold term, obtain the threshold alarm data of the target escalator main shaft, and then obtain the threshold warning term.

[0037] It is important to note that after obtaining the baseline vibration threshold and baseline temperature threshold based on the basic parameter information of the target escalator spindle, and then obtaining the vibration correction factor and temperature and humidity correction factor based on information such as tread load, tread eccentricity, spindle temperature, relative humidity, and ambient temperature, the vibration correction factor is combined with the baseline vibration threshold, and the temperature and humidity correction factor is combined with the baseline temperature threshold to further obtain the vibration threshold alarm data and temperature threshold alarm data of the target escalator spindle under the combined influence of its own factors and external factors, thereby obtaining the threshold warning item.

[0038] In the specific implementation process, it is now necessary to calculate the benchmark vibration threshold for the main shaft of an escalator. Firstly, the maintenance system records that the main shaft has been in use for 7 years, with one major repair, and the drive sprocket was replaced in the 5th year. The torque sensor shows the cumulative stress of the main shaft is 3.2 × 10⁷ N·m·h. The main shaft material report indicates it is made of Q235 steel with an allowable stress of 235 MPa. The vibration value is set at 8 mm / s. The escalator main shaft's tread load is 82%, the load eccentricity is 0.28, the temperature is 52℃, the relative humidity is 75%, and the ambient temperature is 18℃. Then, the health index calculation formula is used. ; The health index of the spindle is calculated to be 0.9. Then, based on the fatigue calculation formula, the fatigue level of the spindle is calculated as follows: ; The aging factor of the spindle is then calculated using the aging factor calculation formula: ; At this point, the reference vibration threshold of the spindle is calculated using the reference vibration threshold calculation formula as follows: ; That is, the reference vibration threshold of the spindle is 4.87 mm / s; The reference temperature threshold is calculated using the following formula: ; The vibration correction factor was calculated using the formula as follows: ; The calculated temperature difference is obtained using the formula for calculating the temperature difference: ; The calculated temperature difference is 23.2℃. Then, using the temperature and humidity correction factor calculation formula, the temperature and humidity correction factor is calculated as follows: ; The temperature and humidity correction factor is 0.979; At this point, the vibration correction factor is combined with the baseline vibration threshold, and the result is: 4.87*1.062=5.17mm / s; the temperature and humidity correction factor is combined with the baseline temperature threshold, and the result is: 73.1*0.979=71.56℃. The vibration threshold alarm data and temperature threshold alarm data of the target escalator main shaft under the combined influence of its own factors and external factors are further obtained, and thus the threshold warning item is obtained.

[0039] Step S600: Based on the monitoring information items, obtain the real-time comparison data of the target escalator main shaft, obtain the real-time comparison items, determine the comparison relationship between the real-time comparison items and the threshold warning items, obtain the warning information items, and output the warning feedback based on the warning information items.

[0040] It should be noted that the warning feedback is output based on the warning information items, thereby realizing real-time warning based on multimodal monitoring data. The method for obtaining the warning information items includes: setting at least two comparison thresholds based on real-time comparison items, the comparison thresholds being fixed percentage thresholds; classifying the real-time comparison items into levels based on the comparison thresholds, thereby obtaining the warning level items; and setting the comparison warning information output based on the warning level items, thereby obtaining the warning information items.

[0041] Specifically, two comparison thresholds are set, namely 90%-100% and 80%-90%, and the real-time comparison items are classified into levels based on the comparison thresholds to obtain warning level items, namely severe and moderate; based on the warning level items, the corresponding warning information output is set to obtain warning information items.

[0042] In the specific implementation process, when the vibration correction factor of a certain escalator main shaft is combined with the reference vibration threshold, the result is: 4.87*1.062=5.17mm / s; the temperature and humidity correction factor is combined with the reference temperature threshold, the result is: 73.1*0.979=71.56℃. After obtaining the threshold warning items, according to the set comparison thresholds of 90%-100% and 80%-90%, they are combined with the threshold warning items to obtain the warning level items. The threshold warning items corresponding to the severe level are 4.65mm / s-5.17mm / s and 64.4℃-71.56℃, respectively, and the threshold warning items corresponding to the medium level are 4.14mm / s-4.65mm / s and 57.25℃-64.4℃, respectively.

[0043] The real-time early warning system for multimodal monitoring data fusion of escalator drive shafts utilizes the aforementioned real-time early warning method for multimodal monitoring data fusion of escalator drive shafts, including: an information acquisition module: acquiring basic parameter information of the target escalator drive shaft to obtain basic information items, which represent the operating parameters and reference parameters of the target escalator drive shaft; a threshold calculation module: acquiring the baseline threshold of the target escalator drive shaft based on the basic information items to obtain a baseline threshold item, which represents the real-time alarm threshold of the target escalator drive shaft during operation; and a threshold correction module: obtaining data through multimodal data monitoring equipment... Multimodal information is acquired to obtain a monitoring information set, which includes at least one monitoring information item acquired by a monitoring device. Based on the monitoring information item, an information correction factor is obtained to obtain a correction factor item. Based on the combination of the correction factor item and the benchmark threshold item, the threshold alarm data of the target escalator main shaft is obtained, and then the threshold warning item is obtained. The warning output module: Based on the monitoring information item, real-time comparison data of the target escalator main shaft is acquired to obtain a real-time comparison item. The comparison relationship between the real-time comparison item and the threshold warning item is determined to obtain a warning information item. Based on the warning information item, a warning feedback is output, thus realizing real-time warning based on multimodal monitoring data.

[0044] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended embodiments and their equivalents.

Claims

1. A real-time early warning method based on multi-modal monitoring data fusion for escalator drive shafts, including: Obtain the basic parameter information of the target escalator main shaft to obtain the basic information item. The basic information item is used to represent the usage parameters and reference parameters of the target escalator main shaft. Its characteristic is that it further includes: Based on the basic information items, the reference threshold of the target escalator main shaft is obtained, and the reference threshold item is obtained. The reference threshold item is used to represent the real-time alarm threshold of the target escalator main shaft during operation. Multimodal information is acquired through multimodal data monitoring equipment to obtain a monitoring information set. The monitoring information set includes at least one monitoring information item acquired by the monitoring equipment. Based on the monitoring information item, an information correction factor is obtained to obtain a correction factor item. Based on the combination of the correction factor term and the benchmark threshold term, the threshold alarm data of the target escalator main shaft is obtained, and then the threshold warning term is obtained. Real-time comparison data of the target escalator main shaft is obtained based on the monitoring information items. Real-time comparison items are obtained, and the comparison relationship between the real-time comparison items and the threshold warning items is determined to obtain the warning information items. Warning feedback is output based on the warning information items, thereby realizing real-time warning based on multimodal monitoring data.

2. The real-time early warning method of escalator drive spindle multi-modal monitoring data fusion according to claim 1, characterized in that: The basic parameter information includes service life, maintenance records, allowable stress of materials, and cumulative stress. The methods for obtaining these basic information items include: Based on the maintenance system records, the maintenance information and service life of the target escalator main shaft are obtained. The maintenance information includes the number of major maintenance operations. Set up an acquisition sensor, and obtain the cumulative stress based on the historical integral information of the target escalator main shaft acquired by the acquisition sensor; Obtain the material report information of the target escalator spindle, obtain the reference stress information, and then obtain the allowable stress of the material.

3. The real-time early warning method of escalator drive spindle multi-modal monitoring data fusion according to claim 1, characterized in that: The reference threshold includes a reference vibration threshold, and the method for obtaining the reference threshold includes: Create a formula for calculating the reference vibration threshold: ； wherein is a reference vibration threshold, is a set vibration value, is an aging factor, is a fatigue degree, is a health index; Methods for obtaining aging factors include creating aging factor calculation formulas: ； in This refers to the service life; Methods for obtaining fatigue levels include creating a fatigue level calculation formula: ； in This is the cumulative stress; Methods for obtaining the health index include creating a health index calculation formula: ； in This refers to the number of repairs.

4. The real-time early warning method for multi-modal monitoring data fusion of escalator drive spindles according to claim 3, characterized in that: The reference threshold also includes a reference temperature threshold, and the method for obtaining the reference threshold includes: Create a formula for calculating the reference temperature threshold: ； in As the reference temperature threshold, To set the temperature value.

5. The real-time early warning method for multi-modal monitoring data fusion of escalator drive spindles according to claim 1, characterized in that: The multimodal information includes pedal load, load eccentricity, ambient temperature, ambient humidity, and real-time spindle temperature. The methods for acquiring the monitoring information set include: Obtain the tread image information of the target escalator to obtain tread information items. Based on the tread information items, set at least two placement points to obtain the first tread support point and the second tread support point. A load sensor is set based on the first pedal support point, and a strain gauge sensor is set based on the second pedal support point. The pedal load and load eccentricity are obtained based on the load sensor and the strain gauge sensor. Set up at least two environmental sensing modules, which include a combination of temperature sensing modules and humidity sensing modules, and obtain the ambient temperature and ambient humidity based on the environmental sensing modules; Set a judgment range, define the spindle range based on the judgment range, and set at least two infrared sensing devices to obtain the real-time temperature of the spindle.

6. The real-time early warning method for multi-modal monitoring data fusion of escalator drive spindles according to claim 5, characterized in that: The information correction factor includes a vibration correction factor, and the method for obtaining the correction factor term includes: Create the formula for calculating the vibration correction factor: ; in For vibration correction factor, For pedal load, This is the load eccentricity.

7. The real-time early warning method for multi-modal monitoring data fusion of escalator drive spindles according to claim 5, characterized in that: The information correction factor also includes a temperature and humidity correction factor, and the method for obtaining the correction factor item includes: Create the formula for calculating the temperature and humidity correction factor: ； in Temperature and humidity correction factor, To calculate the temperature difference, To calculate the temperature difference based on ambient humidity, the method includes creating a formula for calculating the temperature difference: ； in Real-time spindle temperature For ambient temperature, , These are the environmental weights and the main axis weights.

8. The real-time early warning method for multi-modal monitoring data fusion of escalator drive spindles according to claim 1, characterized in that: The method for obtaining the warning information item includes: Based on real-time comparison items, at least two comparison thresholds are set. The comparison thresholds are fixed percentage thresholds. The real-time comparison items are classified into levels based on the comparison thresholds, thereby obtaining the warning level items. Based on the warning level setting, the warning information output is compared and then the warning information item is obtained.

9. A real-time early warning system for multi-modal monitoring data fusion of escalator drive shaft, characterized in that: A real-time early warning method using multimodal monitoring data fusion of escalator drive shafts as described in any one of claims 1-8, comprising: Information acquisition module: Acquires basic parameter information of the target escalator main shaft, and obtains basic information items. The basic information items are used to represent the usage parameters and reference parameters of the target escalator main shaft. Threshold calculation module: Based on the basic information items, obtain the reference threshold of the target escalator main shaft to obtain the reference threshold item. The reference threshold item is used to represent the real-time alarm threshold of the target escalator main shaft during operation. Threshold correction module: Multimodal information is acquired through multimodal data monitoring equipment to obtain a monitoring information set. The monitoring information set includes at least one monitoring information item acquired by the monitoring equipment. Based on the monitoring information item, an information correction factor is obtained to obtain a correction factor item. Based on the combination of the correction factor item and the benchmark threshold item, the threshold alarm data of the target escalator main shaft is obtained, and then the threshold warning item is obtained. Early warning output module: Based on the monitoring information items, the module obtains real-time comparison data of the target escalator main shaft, obtains real-time comparison items, judges the comparison relationship between the real-time comparison items and the threshold early warning items, obtains early warning information items, and outputs early warning feedback based on the early warning information items, thereby realizing real-time early warning based on multimodal monitoring data.

Images