Elevator steel wire rope health monitoring method and elevator system

Abstract

The application discloses a kind of elevator steel wire rope health monitoring methods.The method collects the original electrical signal in the running process of traction machine, including current, voltage, torque and speed signal, after denoising filtering pretreatment, extraction and independent quantization torque fluctuation characteristics, current harmonic characteristics and speed micro-deviation characteristics;In the intact state of elevator steel wire rope, three kinds of characteristics are weighted and fused according to preset fixed fusion weight to obtain reference characteristics;After entering the health monitoring stage, the comprehensive fault total amount is obtained according to weighted fusion;According to the reference characteristics, the fault offset is calculated by the comprehensive fault total amount, the health score of elevator steel wire rope is calculated by piecewise linear scoring, and the corresponding health grade is output.The application does not need to install external sensor, and realizes the real-time nondestructive testing of steel wire rope health through electrical signal micro-feature analysis.

Description

Technical Field

[0001] This invention relates to the field of elevator technology, specifically to a method for monitoring the health of elevator wire ropes and an elevator system. Background Technology

[0002] Elevator wire ropes are the core load-bearing and transmission components of traction elevators, directly bearing the weight of the car, passengers, and equipment. Their health is a key indicator of elevator safety. During long-term, high-frequency operation, elevator wire ropes are prone to hidden and obvious faults such as wire wear, single / multiple wire breakage, strand slack, uneven tension, fatigue deformation, corrosion, and jamming. If these faults are not identified and maintained in a timely manner, they can easily lead to major safety accidents such as elevator shaking, passenger entrapment, overshooting, or even elevator falls.

[0003] Currently, elevator wire rope monitoring technology in the industry has many shortcomings in practical application, failing to meet the needs of large-scale, intelligent, and low-cost monitoring. Specific deficiencies are as follows: 1. The limitations of manual inspection: Traditional maintenance relies entirely on manual visual inspection, measurement, and touch inspection, which can only identify obvious surface faults such as broken wires and deformation, but cannot detect early hidden dangers such as internal fatigue, hidden wear, and uneven tension; in addition, the inspection cycle is long, human error is large, the rate of missed detection is high, and real-time monitoring cannot be achieved.

[0004] 2. External sensing solutions are difficult to implement: Existing intelligent monitoring systems mostly use external devices such as magnetic leakage sensors, vibration sensors, and high-definition image sensors. These devices are expensive and require drilling, modification, and fixing of elevator traction wheels, wire rope supports, and car structures. The construction is complex and the modification cycle is long. Most old existing elevators have no room for modification and cannot be promoted in large quantities.

[0005] 3. Severe data silos and inability to link with the main control: Most existing monitoring equipment are independent external systems that can only alarm locally or upload data to the cloud. They cannot interact bidirectionally with the elevator's native control cabinet and main control system, cannot participate in the elevator operation logic management, and the monitoring data cannot be transformed into elevator safety protection actions.

[0006] 4. Maintenance reminders are not timely and accurate: Traditional solutions only display fault data in the background, without real-time reminders in the car. Passengers, property management and maintenance personnel cannot perceive potential problems in time, leading to minor problems becoming major problems and blind maintenance, resulting in the dual problems of over-maintenance or operation with defects.

[0007] 5. Weak anti-interference ability and high false judgment rate: External sensors are easily affected by elevator mechanical vibration, electromagnetic interference and ambient light. The stability of a single detection logic is poor and it is difficult to adapt to complex elevator operating conditions.

[0008] In summary, existing technologies generally suffer from drawbacks such as high difficulty in modification, poor compatibility, low monitoring accuracy, lack of data linkage, ineffective alerts, and high operation and maintenance costs. The industry urgently needs a landable steel wire rope health monitoring solution that requires no external sensors, is non-destructive to install, is compatible with all elevators, has deep linkage with the main control system, and provides real-time early warnings for the car. Summary of the Invention

[0009] To address the aforementioned technical problems, this invention provides a method for monitoring the health of elevator wire ropes. This method involves collecting native electrical signals generated during the operation of the traction machine and performing noise reduction and filtering preprocessing on these signals to obtain preprocessed electrical signals. The native electrical signals include current signals, voltage signals, torque signals, and speed signals. Torque fluctuation characteristics are extracted and independently quantized from the preprocessed electrical signal. Current harmonic characteristics and speed micro-deviation characteristics ; With the elevator wire rope intact, the torque fluctuation characteristics are evaluated according to a preset fixed fusion weight. Current harmonic characteristics and speed micro-deviation characteristics Weighted fusion is performed to calculate the baseline features. ; After entering the elevator wire rope health monitoring phase, the torque fluctuation characteristics are analyzed according to preset fixed fusion weights. Current harmonic characteristics and speed micro-deviation characteristics By performing weighted fusion, the total number of comprehensive faults is calculated. ; according to Calculate fault offset According to the fault offset A piecewise linear scoring method is used to calculate the health score of the elevator wire rope, and the corresponding health level is output based on the health score.

[0010] Preferably, the health score of the wire rope is corrected by a working condition correction factor.

[0011] Preferably, based on the torque fluctuation characteristics Current harmonic characteristics and speed micro-deviation characteristics The degree of exceedance determines the type of fault.

[0012] Preferably, the torque ripple characteristic The quantification method is as follows: collect steady-state torque sequences and calculate the standard deviation of torque fluctuations. and torque period pulsation amplitude Calculate using the weighted average method as follows: ;in The standard deviation of torque ripple is given by a fixed weighting factor. The weighting factor is a fixed weighting factor for the amplitude of torque periodic pulsation.

[0013] Preferably, the current harmonic characteristics The quantization method is as follows: perform FFT spectrum decomposition on the three-phase current and calculate the total harmonic distortion rate. The proportion of 5th and 7th fault characteristic harmonic energy Calculate using the weighted average method as follows: ;in The weighting factor for total harmonic distortion is... This is the weighting coefficient for the proportion of fault harmonic energy.

[0014] Preferably, the speed micro-deviation characteristic The quantification method is as follows: collect the given speed and the actual feedback speed, and calculate the average speed deviation. and instantaneous fluctuation peak Calculate using the weighted average method as follows: ;in This is the weighting factor for the average speed deviation. This is the weighting coefficient for the instantaneous peak speed deviation.

[0015] Preferably, the total number of comprehensive faults is calculated. The weighted fusion method is as follows: ;in Torque characteristic weights, For current harmonic characteristic weights, As the characteristic weight of speed deviation, satisfying =1 normalization constraint.

[0016] Preferably, with the elevator wire rope intact, the elevator is circulated up and down through several floors under no-load, half-load, and full-load conditions to collect native electrical signals and calculate reference characteristics. Weighted fusion method and calculation of total fault amount The weighted fusion method is the same.

[0017] Preferably, the method for calculating the health score of elevator wire rope using piecewise linear scoring is as follows: Built-in three-level fault threshold, including a minor anomaly boundary threshold. General fault threshold High-risk fault threshold According to the fault offset The health score of the elevator wire rope is calculated in segments within the specified interval. ; when hour, This is considered normal. when hour, It was determined to be a minor abnormality; when hour, This is classified as a general fault. when hour, It was determined to be a high-risk fault.

[0018] The present invention also provides an elevator system, including a wire rope health monitoring device, wherein the wire rope health monitoring device performs the aforementioned elevator wire rope health monitoring method; the wire rope health monitoring device includes: A signal acquisition module is connected in parallel to the electrical signal output port of the traction machine driver to acquire the native electrical signals during the operation of the traction machine; The signal preprocessing module performs noise reduction and filtering preprocessing on the acquired native electrical signals; The feature quantization module extracts and independently quantizes torque fluctuation features, current harmonic features, and speed micro-deviation features from the preprocessed electrical signal; The fusion scoring module performs weighted fusion of the torque fluctuation characteristics, current harmonic characteristics, and speed micro-deviation characteristics according to preset fixed fusion weights, and calculates the total number of comprehensive faults. The benchmark calibration module is used to calculate the benchmark characteristics by weighting and fusing the torque fluctuation characteristics, current harmonic characteristics, and speed micro-deviation characteristics according to a preset fixed fusion weight, when the elevator wire rope is in good condition. The health assessment module calculates the fault offset and uses piecewise linear scoring to calculate the health score of the elevator wire rope. The multimodal access module supports wired communication, wireless transparent transmission, and passive hard-wired connection methods, and establishes a two-way data interaction channel with the elevator main control system. The main control linkage module writes the monitoring data into the elevator main control system in real time and triggers elevator protection actions based on the health level corresponding to the health score.

[0019] Preferably, the multimodal access module automatically identifies the elevator main control communication protocol and enables Modbus-TCP / RTU communication mode to establish a two-way data interaction channel with the control cabinet.

[0020] Preferably, the elevator system performs a graded response based on the health score of the elevator wire rope: When a minor anomaly is determined, data is only recorded in the cloud, the car does not provide any notification, and it is marked as a key item for maintenance and inspection. When the fault is determined to be of a general fault level, the monitoring data is synchronized to the elevator main control in real time, the maintenance prompt text is displayed on the car screen, and the elevator operates normally. When a high-risk fault is identified, the main control system triggers the safety logic, controls the elevator to level with the nearest floor, prohibits the elevator from starting with the doors closed, and triggers an audible and visual alarm, a red pop-up window at the top, and a looping voice warning.

[0021] Preferably, the multimodal access module is hardwired to the safety detection port of the elevator system's control cabinet via a passive switch output terminal; the signal preprocessing module uses a dual threshold filtering and multiple data verification mechanism to filter power grid fluctuations and interference signals.

[0022] Preferably, the wire rope health monitoring device stores all monitoring data locally and uploads the monitoring data to the cloud via a 4G wireless module to achieve remote monitoring and maintenance work order push.

[0023] Preferably, when a high-risk fault is determined, the main control linkage module executes dynamic leveling safety redundancy logic: after three consecutive sampling analyses determine a high-risk fault, the fault state is locked and the elevator's real-time speed, floor position, and running direction are collected. A smooth deceleration command is sent to the main control system to control the elevator to decelerate at a constant speed and search for the nearest safe floor to complete leveling and stopping. After stopping, the operating permission is cut off and the elevator is locked. After leveling and opening the door, the car continuously plays a safety warning voice, the screen displays a fault prompt at the top, and the hall indicator lights flash frequently to prompt passengers to evacuate. At the same time, an emergency maintenance work order is pushed to the cloud.

[0024] Preferably, the wire rope health monitoring device further includes a cloud-based operation and maintenance management module, which automatically generates maintenance work orders based on the health level: periodic maintenance work orders are generated after minor abnormalities reach a preset number of times, special maintenance work orders are generated for general faults, and emergency repair work orders are generated for high-risk faults; after the maintenance personnel have completed the handling, the benchmark calibration module recalculates the benchmark characteristics; the cloud-based operation and maintenance management module automatically generates daily, monthly, and quarterly wire rope health reports, and statistically analyzes the frequency of faults, fault types, and maintenance completion rates.

[0025] The present invention has the following technical effects: 1. Sensorless and non-destructive monitoring architecture: No external physical sensors need to be installed throughout the process. No drilling, no rewiring, and no damage to the original elevator structure are required. Monitoring can be completed simply by collecting native electrical signals in parallel. It is compatible with all traction elevators and existing elevators can be quickly retrofitted.

[0026] 2. Multimodal and fully compatible access design: Integrates multiple access methods such as communication, wireless and hard-wiring, and adaptively matches new and old elevators of multiple brands, solving the industry pain point of poor compatibility of traditional equipment and only being compatible with new machines.

[0027] 3. Precise analysis of electrical-fault coupling: By integrating time-domain and frequency-domain dual analysis algorithms, it accurately captures electrical micro-fluctuations corresponding to early latent faults in wire ropes, effectively avoiding the problems of missed detection and false detection in manual inspection and traditional sensing equipment, and significantly improving monitoring accuracy.

[0028] 4. Deep linkage safety closed loop of main control: Monitoring data is written to the elevator main control system in real time and participates in the control of elevator operation logic. High-risk faults can trigger protection actions such as leveling to the nearest floor and prohibiting start-up, realizing an integrated closed loop of monitoring, analysis and protection.

[0029] 5. Implemented Tiered and Visualized Maintenance: Differentiated car reminders are set according to the health level, the status of potential hazards is displayed intuitively on-site, and precise guidance is provided for maintenance as needed, eliminating blind operation and maintenance and significantly reducing elevator maintenance costs and safety risks. Attached Figure Description

[0030] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments: Figure 1 This is a block diagram of the wire rope health monitoring device in the elevator system of Example 2. Detailed Implementation

[0031] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can fully understand other advantages and technical effects of the present invention from the content disclosed in this specification. The present invention can also be implemented or applied through different specific embodiments, and the details in this specification can also be applied based on different viewpoints, with various modifications or changes made without departing from the overall design concept of the invention. It should be noted that, unless otherwise specified, the following embodiments and features can be combined with each other. The following exemplary embodiments of the present invention can be implemented in many different forms and should not be construed as being limited to the specific embodiments set forth herein. It should be understood that these embodiments are provided to make the disclosure of the present invention thorough and complete, and to fully convey the technical solutions of these exemplary embodiments to those skilled in the art. Example 1

[0032] This embodiment provides a method for monitoring the health of elevator wire ropes. The core innovation of this embodiment lies in the fact that instead of directly performing physical detection on the wire rope, it collects electrical signals of the original current, voltage, torque, and speed fluctuations at the drive end of the traction machine to capture the changes in electrical micro-features corresponding to the load, friction, and tension changes caused by wire rope faults. This transforms the complex mechanical fault detection problem into a high-precision electrical signal analysis, quantification, and scoring problem.

[0033] The elevator wire rope health monitoring method provided in this embodiment is as follows.

[0034] Signal acquisition and preprocessing are performed. The signal acquisition terminals of the integrated monitoring host are connected in parallel to the current, voltage, and speed signal output ports of the traction machine driver. The original electrical signals during the operation of the traction machine are continuously acquired 24 / 7, including current, voltage, torque, and speed signals. The acquired original electrical signals are preprocessed by wavelet noise reduction and harmonic filtering, and signal data under invalid operating conditions such as elevator door opening and closing and instantaneous overload are removed to obtain the preprocessed electrical signals.

[0035] Three types of electrical characteristics are independently quantized. Three types of electrical characteristics are extracted and independently quantized from the preprocessed electrical signal: torque ripple characteristics... Current harmonic characteristics Speed ​​micro-deviation characteristics .

[0036] Torque ripple characteristics The quantification method is as follows: collect steady-state torque sequences and calculate the standard deviation of torque fluctuations. and torque period pulsation amplitude Calculate using the weighted average method as follows: ;in The standard deviation of torque ripple is given by a fixed weighting factor. The weighting factor is a fixed weighting factor for the amplitude of torque periodic pulsation. The value is 0.65. The value is 0.35.

[0037] Current harmonic characteristics The quantization method is as follows: perform FFT spectrum decomposition on the three-phase current and calculate the total harmonic distortion rate. The proportion of 5th and 7th fault characteristic harmonic energy Calculate using the weighted average method as follows: ;in The weighting factor for total harmonic distortion is... This is the weighting coefficient for the proportion of fault harmonic energy. The value is 0.70. The value is 0.30.

[0038] Speed ​​micro-deviation characteristics The quantification method is as follows: collect the given speed and the actual feedback speed, and calculate the average speed deviation. and instantaneous fluctuation peak Calculate using the weighted average method as follows: ;in This is the weighting factor for the average speed deviation. This is the weighting coefficient for the instantaneous peak speed deviation. The value is 0.40. The value is 0.60.

[0039] Comprehensive fault feature fusion. The three types of electrical features are weighted and fused according to globally fixed fusion weights to calculate the total comprehensive fault count. ,in = 0.50、 = 0.35、 = 0.15, which satisfies + + = 1 Normalization constraint.

[0040] Single-unit baseline model calibration. With the elevator in brand new condition or with intact wire ropes, run it up and down three complete floor cycles under multiple load conditions (no load, half load, and full load) to collect baseline electrical data for all operating conditions. Calculate the intact baseline features using the same feature quantization and fusion algorithm as the operation monitoring. Complete the initialization and calibration of the single-machine reference model.

[0041] Fault offset and piecewise linear scoring. (By...) Calculate fault offset Built-in three-level fault threshold, including a minor anomaly boundary threshold. General fault threshold High-risk fault threshold ,according to The basic score is calculated segment by segment within the interval. : when hour, This is considered normal. when hour, It was determined to be a minor abnormality; when hour, This is classified as a general fault. when hour, It was determined to be a high-risk fault.

[0042] Operating condition correction and fault type determination. Introducing load and floor operating condition correction factors. , Ultimately, health score Eliminate misjudgments caused by heavy loads and high-frequency start-stop cycles; determine fault types based on the magnitude of individual exceedances: Significantly exceeding the standard is determined by uneven tension or loose strands in the rope. A significant increase indicates wear or internal fatigue, while a persistently high steady-state torque baseline indicates corrosion or jamming. , , A significant exceedance of the three synchronous parameters indicates a broken wire or strand fracture.

[0043] This embodiment innovatively discovers that various mechanical faults in wire ropes directly alter the damping and force distribution of the traction drive system, simultaneously generating three types of quantifiable electrical distortion characteristics. The coupling mechanism of these three is as follows: 1) Torque fluctuation coupling mechanism: Wire breakage, strand wear, and uneven tension in the wire rope can cause a sudden change in the periodic force on the traction sheave, resulting in periodic oscillations in the electromagnetic torque output by the drive. Corrosion and jamming will continuously increase frictional damping, leading to a deviation in the steady-state torque baseline. Fatigue aging will continuously amplify the torque fluctuation dispersion. The more severe the fault, the higher the standard deviation of torque fluctuation and the amplitude of periodic pulsation.

[0044] 2) Current harmonic coupling mechanism: Periodic torque disturbance will cause the three-phase current of the motor to generate additional 5th and 7th fault characteristic harmonics. Steel wire rope wear and internal fatigue will significantly increase the total harmonic distortion rate and the proportion of characteristic harmonic energy. Under the constant speed steady-state condition, the harmonic characteristics are not affected by start-stop interference and have the highest identification.

[0045] 3) Coupling mechanism of speed micro deviation: The periodic fluctuation of the damping of the wire rope transmission will cause a steady-state difference between the actual speed of the motor and the given speed. Broken wires and broken strands will produce instantaneous speed peak shifts; rust and jamming will continuously increase the average speed deviation. Example 2

[0046] This embodiment provides an elevator system, which includes a wire rope health monitoring device, and the wire rope health monitoring device performs the elevator wire rope health monitoring method as described in Embodiment 1. like Figure 1 The wire rope health monitoring device shown includes: A signal acquisition module is connected in parallel to the electrical signal output port of the traction machine driver to acquire the native electrical signals during the operation of the traction machine; The signal preprocessing module performs noise reduction and filtering preprocessing on the acquired native electrical signals; The feature quantization module extracts and independently quantizes torque fluctuation features, current harmonic features, and speed micro-deviation features from the preprocessed electrical signal; The fusion scoring module performs weighted fusion of the torque fluctuation characteristics, current harmonic characteristics, and speed micro-deviation characteristics according to preset fixed fusion weights, and calculates the total number of comprehensive faults. The benchmark calibration module is used to calculate the benchmark characteristics by weighting and fusing the torque fluctuation characteristics, current harmonic characteristics, and speed micro-deviation characteristics according to a preset fixed fusion weight, when the elevator wire rope is in good condition. The health assessment module calculates the fault offset and uses piecewise linear scoring to calculate the health score of the elevator wire rope. The multimodal access module supports wired communication, wireless transparent transmission, and passive hard-wired connection methods, and establishes a two-way data interaction channel with the elevator main control system. The main control linkage module writes the monitoring data into the elevator main control system in real time and triggers elevator protection actions based on the health level corresponding to the health score.

[0047] The elevator system in this embodiment is exemplified as a new type of elevator equipped with an intelligent main control system and supporting bus communication, which is a mainstream solution for commercial communities and office buildings.

[0048] The wire rope health monitoring device is integrated into a single monitoring host and installed inside the control cabinet. The monitoring host supports dual power supply of DC24V and AC220V. The signal acquisition terminals are connected in parallel to the current, voltage, and speed signal output ports of the traction machine driver. After the device is powered on, the multi-mode access module automatically identifies the elevator main control communication protocol, enables Modbus-TCP / RTU communication mode, and establishes a two-way data interaction channel with the elevator control cabinet without requiring any modification to the original elevator wiring.

[0049] The benchmark calibration module operates the elevator up and down three complete floor cycles under no-load, half-load, and full-load conditions. The system automatically collects benchmark electrical data for all operating conditions and calculates benchmark characteristics. Complete the initial calibration of the elevator's dedicated steel wire rope health benchmark model, with a calibration time not exceeding 5 minutes.

[0050] The signal acquisition module continuously acquires electrical signals 24 / 7. After preprocessing with wavelet denoising and harmonic filtering, invalid operating conditions such as door opening / closing and instantaneous overload are eliminated. The feature quantization module quantifies and calculates torque fluctuation characteristics. Current harmonic characteristics Speed ​​micro-deviation characteristics The weighted fusion of the fusion scoring module yields... The health assessment module calculates the fault offset. Substitute the values ​​into the piecewise linear formula to calculate the health score and simultaneously determine the fault type.

[0051] Status Response: When minor abnormalities such as slight wear or localized fatigue occur in the wire rope (health score 70-89), the system only records the data in the cloud, and there is no prompt in the car, but it is marked as a key item for maintenance and inspection; when general faults such as multi-wire wear, slight corrosion, or uneven tension occur (40-69), the data is synchronized to the elevator main control in real time, and the car screen displays maintenance prompts to remind the property management to perform regular special maintenance, and the normal operation of the elevator is not affected; when high-risk faults such as broken wires, severe deformation, or strand breakage occur (0-39), the main control system immediately triggers the safety logic, controls the elevator to level at the nearest floor, prohibits starting with the door closed, and at the same time triggers an audible and visual alarm, a red pop-up window at the top, and a looping voice warning.

[0052] Data retention: All fault data, operating conditions, and early warning records are uploaded to the cloud in real time, automatically generating operation reports and maintenance records, and supporting traceability and query at any time. Example 3

[0053] This embodiment takes an old mechanical elevator without an intelligent communication interface as an example to solve the industry problem of the inability to intelligently monitor existing old elevators.

[0054] The signal acquisition module of the wire rope health monitoring device is connected in parallel to the traction machine drive signal port, eliminating the need for communication docking. The multi-mode access module is hard-wired to the safety detection port of the elevator control cabinet through the passive switch output terminal, adapting to the main control logic of old elevators.

[0055] Signal adaptation: The signal preprocessing module is designed for the characteristics of large fluctuations and interference in electrical signals of old elevators. It uses an enhanced anti-interference algorithm and a dual threshold filtering and multiple data verification mechanism to filter out invalid interference signals caused by power grid fluctuations and mechanical aging, so as to ensure the accuracy of the judgment.

[0056] Response Logic: Older elevators do not support complex data interaction, so the system simplifies the linkage logic. There is no hardware output in normal or slightly abnormal states. General faults trigger a weak switch signal output, which links the car indicator light to stay on as a reminder. High-risk faults trigger a forced switch signal, which links the elevator safety circuit, locks the elevator to prevent operation, and triggers voice and light warnings in the car.

[0057] Operation and maintenance adaptation: Older elevators lack cloud-based local linkage capabilities. The system stores all monitoring data locally and uploads it to the cloud via a 4G wireless module to achieve remote monitoring and maintenance work order push, thus making up for the shortcomings of intelligent operation and maintenance of older elevators. Example 4

[0058] This embodiment is a safety redundancy supplementary solution, which is applicable to scenarios where a high-risk steel wire rope failure occurs during high-speed elevator operation, avoiding passenger dizziness and secondary damage to elevator equipment caused by sudden stops.

[0059] Fault identification: During the high-speed ascent and descent of the elevator, the system continuously samples and analyzes three times to determine if the wire rope has a high-risk fault such as broken wire or split strand. It immediately locks the fault status and simultaneously collects real-time data on the elevator's speed, floor position, and direction of travel.

[0060] Dynamic response: Instead of directly stopping the elevator, the system sends a smooth deceleration command to the main control system, controlling the elevator to slowly decelerate at a constant speed, search for the nearest safe floor, complete the leveling and stopping, and cut off the running permission after stopping, locking the elevator so that it cannot be started.

[0061] On-site reminder: After the doors open at the landing, the elevator continuously plays safety warning voice messages, displays fault information on the top screen, and flashes indicator lights outside the hall at high frequency to remind passengers to evacuate quickly. At the same time, an emergency maintenance work order is immediately pushed to the cloud to remind maintenance personnel to arrive on-site for handling. Example 5

[0062] The elevator system in this embodiment is suitable for centralized operation and maintenance scenarios involving multiple elevators in property parks and commercial complexes. The wire rope health monitoring device also includes a cloud-based operation and maintenance management module.

[0063] Batch Adaptation: The wire rope health monitoring device can adapt to elevators of different brands and ages. Installation and commissioning of a single unit takes only 30 minutes. During the calibration phase, the device loads the preset fixed parameter set of this invention: torque dimension coefficient. = 0.65、 =0.35, current harmonic dimension coefficient = 0.70、 = 0.30, rotational speed dimension coefficient = 0.40、 =0.60, global fusion weight = 0.50、 = 0.35、 = 0.15; Adaptive fine-tuning of rotational speed feature weights only in the scenario of old mechanical elevators It supports rapid batch modification and deployment without the need to develop separate adaptation programs for different elevators.

[0064] Intelligent maintenance tiered closed-loop: After minor anomalies accumulate multiple times, the system automatically generates periodic maintenance work orders; general faults are immediately pushed with special maintenance work orders; high-risk faults are pushed with emergency repair work orders; after maintenance personnel complete the handling, the system re-collects the good working condition data to update the baseline model. Update the health status of the wire rope to form a complete operation and maintenance closed loop.

[0065] Data statistics: The cloud automatically generates daily, monthly, and quarterly health reports for steel wire ropes, which track the frequency of failures, types of failures, and maintenance completion rates, providing data support for property elevator operation and maintenance management and equipment replacement decisions.

[0066] The present invention has been described in detail above through specific embodiments and examples, but these are not intended to limit the invention. Many modifications and improvements can be made by those skilled in the art without departing from the principles of the invention, and these should also be considered within the scope of protection of the present invention.

Claims

1. A method for monitoring the health of elevator wire ropes, characterized in that, The original electrical signals during the operation of the traction machine are collected, and noise reduction and filtering preprocessing are performed on the original electrical signals to obtain preprocessed electrical signals; the original electrical signals include current signals, voltage signals, torque signals and speed signals; Torque fluctuation characteristics are extracted and independently quantized from the preprocessed electrical signal. Current harmonic characteristics and speed micro-deviation characteristics ; With the elevator wire rope intact, the torque fluctuation characteristics are evaluated according to a preset fixed fusion weight. Current harmonic characteristics and speed micro-deviation characteristics Weighted fusion is performed to calculate the baseline features. ; After entering the elevator wire rope health monitoring phase, the torque fluctuation characteristics are analyzed according to preset fixed fusion weights. Current harmonic characteristics and speed micro-deviation characteristics By performing weighted fusion, the total number of comprehensive faults is calculated. ; according to Calculate fault offset According to the fault offset A piecewise linear scoring method is used to calculate the health score of the elevator wire rope, and the corresponding health level is output based on the health score.

2. The elevator wire rope health monitoring method according to claim 1, characterized in that, The health score of the wire rope is corrected by the working condition correction factor.

3. The elevator wire rope health monitoring method according to claim 1, characterized in that, Based on the torque fluctuation characteristics Current harmonic characteristics and speed micro-deviation characteristics The degree of exceedance determines the type of fault.

4. The elevator wire rope health monitoring method according to claim 1, characterized in that, The torque ripple characteristics The quantification method is as follows: collect steady-state torque sequences and calculate the standard deviation of torque fluctuations. and torque period pulsation amplitude Calculate using the weighted average method as follows: ;in The standard deviation of torque ripple is given by a fixed weighting factor. The weighting factor is a fixed weighting factor for the amplitude of torque periodic pulsation.

5. The elevator wire rope health monitoring method according to claim 1, characterized in that, The current harmonic characteristics The quantization method is as follows: perform FFT spectrum decomposition on the three-phase current and calculate the total harmonic distortion rate. The proportion of 5th and 7th fault characteristic harmonic energy Calculate using the weighted average method as follows: ;in The weighting factor for total harmonic distortion is... This is the weighting coefficient for the proportion of fault harmonic energy.

6. The elevator wire rope health monitoring method according to claim 1, characterized in that, The speed micro deviation feature The quantification method is as follows: collect the given speed and the actual feedback speed, and calculate the average speed deviation. and instantaneous fluctuation peak Calculate using the weighted average method as follows: ;in This is the weighting factor for the average speed deviation. This is the weighting coefficient for the instantaneous peak speed deviation.

7. The elevator wire rope health monitoring method according to claim 1, characterized in that, Calculate the total number of failures The weighted fusion method is as follows: ;in Torque characteristic weights, For current harmonic characteristic weights, As the characteristic weight of speed deviation, satisfying =1 normalization constraint.

8. The elevator wire rope health monitoring method according to claim 7, characterized in that, With the elevator wire rope intact, the elevator circulates up and down several floors under no-load, half-load, and full-load conditions to collect native electrical signals; and calculates the baseline characteristics. Weighted fusion method and calculation of total fault amount The weighted fusion method is the same.

9. The elevator wire rope health monitoring method according to claim 1, characterized in that, The method for calculating the health score of elevator wire ropes using piecewise linear scoring is as follows: Built-in three-level fault threshold, including a minor anomaly boundary threshold. General fault threshold High-risk fault threshold According to the fault offset The health score of the elevator wire rope is calculated in segments within the specified interval. ; when hour, This is considered normal. when hour, It was determined to be a minor abnormality; when hour, This is classified as a general fault. when hour, It was determined to be a high-risk fault.

10. An elevator system, characterized in that, Includes a wire rope health monitoring device, which performs the elevator wire rope health monitoring method as described in claim 9; The wire rope health monitoring device includes: A signal acquisition module is connected in parallel to the electrical signal output port of the traction machine driver to acquire the native electrical signals during the operation of the traction machine; The signal preprocessing module performs noise reduction and filtering preprocessing on the acquired native electrical signals; The feature quantization module extracts and independently quantizes torque fluctuation features, current harmonic features, and speed micro-deviation features from the preprocessed electrical signal; The fusion scoring module performs weighted fusion of the torque fluctuation characteristics, current harmonic characteristics, and speed micro-deviation characteristics according to preset fixed fusion weights, and calculates the total number of comprehensive faults. The benchmark calibration module is used to calculate the benchmark characteristics by weighting and fusing the torque fluctuation characteristics, current harmonic characteristics, and speed micro-deviation characteristics according to a preset fixed fusion weight, when the elevator wire rope is in good condition. The health assessment module calculates the fault offset and uses piecewise linear scoring to calculate the health score of the elevator wire rope. The multimodal access module supports wired communication, wireless transparent transmission, and passive hard-wired connection methods, and establishes a two-way data interaction channel with the elevator main control system. The main control linkage module writes the monitoring data into the elevator main control system in real time and triggers elevator protection actions based on the health level corresponding to the health score.

11. The elevator system according to claim 10, characterized in that, The multimodal access module automatically identifies the elevator main control communication protocol and enables Modbus-TCP / RTU communication mode to establish a two-way data interaction channel with the control cabinet.

12. The elevator system according to claim 10, characterized in that, The elevator system implements a graded response based on the health score of the elevator wire rope: When a minor anomaly is determined, data is only recorded in the cloud, the car does not provide any notification, and it is marked as a key item for maintenance and inspection. When the fault is determined to be of a general fault level, the monitoring data is synchronized to the elevator main control in real time, the maintenance prompt text is displayed on the car screen, and the elevator operates normally. When a high-risk fault is identified, the main control system triggers the safety logic, controls the elevator to level with the nearest floor, prohibits the elevator from starting with the doors closed, and triggers an audible and visual alarm, a red pop-up window at the top, and a looping voice warning.

13. The elevator system according to claim 10, characterized in that, The multimodal access module is hardwired to the safety detection port of the elevator system control cabinet through a passive switch output terminal; the signal preprocessing module uses a dual threshold filtering and multiple data verification mechanism to filter power grid fluctuations and interference signals.

14. The elevator system according to claim 10, characterized in that, The wire rope health monitoring device stores all monitoring data locally and uploads the monitoring data to the cloud via a 4G wireless module, enabling remote monitoring and maintenance work order push.

15. The elevator system according to claim 10, characterized in that, When a high-risk fault is determined, the main control linkage module executes dynamic leveling safety redundancy logic: after three consecutive sampling analyses determine a high-risk fault, the fault status is locked and the real-time speed, floor position, and running direction of the elevator are collected. A smooth deceleration command is sent to the main control system to control the elevator to decelerate at a constant speed and search for the nearest safe floor to complete the leveling and stopping. After the stopping is completed, the running permission is cut off and the elevator is locked. After the leveling and opening of the doors, the car continuously plays a safety warning voice, the screen displays a fault prompt at the top, and the hall indicator lights flash frequently to prompt passengers to evacuate. At the same time, an emergency maintenance work order is pushed to the cloud.

16. The elevator system according to claim 10, characterized in that, The wire rope health monitoring device also includes a cloud-based operation and maintenance management module, which automatically generates maintenance work orders based on the health level: periodic maintenance work orders are generated after minor abnormalities reach a preset number of times, special maintenance work orders are generated for general faults, and emergency repair work orders are generated for high-risk faults; after the maintenance personnel have completed the handling, the benchmark calibration module recalculates the benchmark characteristics. The cloud-based operation and maintenance management module automatically generates daily, monthly, and quarterly wire rope health reports, which statistically analyze the frequency of faults, fault types, and maintenance completion rates.

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