Elevator fault detection method and device, computer equipment and readable storage medium

Abstract

The invention relates to an elevator fault detection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring to-be-measured operation data of an elevator for at least one reference dimension in an operation stage; according to the to-be-measured operation data of the at least one reference dimension, the corresponding actual jitter characterization quantity of the elevator in the operation stage is determined; the reference jitter characterization quantity corresponding to the elevator in the operation stage is obtained, wherein the reference jitter characterization quantity is the jitter characterization quantity corresponding to the situation that the elevator does not break down in the operation stage; and according to the actual jitter characterization quantity and the reference jitter characterization quantity corresponding to the operation stage of the elevator, fault detection is conducted on the elevator, and a fault detection result of the elevator is obtained. By adopting the method, the fault detection accuracy can be improved, and the data acquisition difficulty and the installation and maintenance cost are reduced.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to an elevator fault detection method, device, computer equipment, computer-readable storage medium and computer program product. Background Art

[0002] As an indispensable part of modern society, elevators play a vital role in the transportation of people and goods in high-rise buildings. It not only greatly improves people's quality of life and work efficiency, but also plays a key role in emergency situations such as fire escape and medical emergency. As special equipment, elevators have strict safety protection requirements during operation, and elevator fault detection is an important measure to discover potential safety hazards of elevators and prevent serious safety accidents.

[0003] However, the current elevator fault detection methods mainly include neural network method, force sensor direct measurement method and motor signal detection method. However, these methods all have defects that cannot be ignored. For example, the neural network method requires a large amount of real fault data that is difficult to obtain, and the model generalization ability is poor. The force sensor direct measurement method requires the installation of force sensors and related mechanical structures, which leads to high costs, and due to vibration and impact during the operation of the elevator, it will cause large measurement errors. The current motor signal detection method does not fully consider the model of the motor and elevator transmission system. This detection method has limitations in fault feature extraction, and it is difficult to accurately distinguish between faults and normal states, especially in complex and changeable working environments, and the detection effect is poor. Summary of the invention

[0004] Based on this, it is necessary to provide an elevator fault detection method, device, computer equipment, computer-readable storage medium and computer program product that can improve the accuracy of fault detection in response to the above technical problems.

[0005] In a first aspect, the present application provides an elevator fault detection method, comprising:

[0006] Acquiring the operation data to be tested of the elevator for at least one reference dimension during the operation phase;

[0007] Determine, according to the to-be-tested operation data of the at least one reference dimension, an actual jitter characterization amount corresponding to the elevator in the operation stage;

[0008] Obtaining a reference jitter characterization value corresponding to the elevator in the operation stage, wherein the reference jitter characterization value is a jitter characterization value corresponding to the elevator when no failure occurs in the operation stage;

[0009] According to the actual jitter characterization amount corresponding to the elevator in the operation stage and the reference jitter characterization amount, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

[0010] In one of the embodiments, the at least one reference dimension of the operating data to be measured includes load weight and acceleration; and the step of obtaining the at least one reference dimension of the elevator during the operation phase includes:

[0011] Determine the speed and acceleration of the elevator at the targeted sampling moment; obtain the moment of inertia of the elevator, and determine the steady-state power of the elevator at the targeted sampling moment according to the moment of inertia, the speed and the acceleration; obtain the fitting parameters of the elevator, and determine the load weight of the elevator at the targeted sampling moment according to the fitting parameters, the speed and the steady-state power.

[0012] In one embodiment, determining the steady-state power of the elevator at the sampling moment according to the moment of inertia, the speed and the acceleration includes:

[0013] For each sampling moment in the operation stage, the output current and output voltage of the elevator at the sampling moment are obtained; a preset power factor is obtained, and the output current, the output voltage and the preset power factor are multiplied to obtain the output power of the elevator at the sampling moment; according to the moment of inertia, the speed and the acceleration, the inertia power of the elevator at the sampling moment is determined; according to the inertia power and the output power of the elevator at the sampling moment, the steady-state power of the elevator at the sampling moment is determined.

[0014] In one embodiment, the elevator comprises a rope, a car and a counterweight assembly; and obtaining the fitting parameters of the elevator comprises:

[0015] Obtain the mass of the car, the mass of the counterweight, and the mass of the rope of the elevator at the initial position; determine the height distance of the car from the preset height position at the targeted sampling moment; determine the fitting parameters of the elevator at the targeted sampling moment based on the mass of the car, the mass of the counterweight, the mass of the rope of the elevator at the initial position, and the height distance of the car from the preset height position at the targeted sampling moment.

[0016] In one of the embodiments, determining the actual jitter characterization amount corresponding to the elevator in the operation stage according to the measured operation data of the at least one reference dimension includes:

[0017] For each sampling moment in the operation stage, determine the average value of the operation data to be tested of the elevator at all sampling moments before the sampling moment and the total number of sampling moments; determine the actual jitter characterization value of the elevator at the sampling moment based on the operation data to be tested of the elevator at the sampling moment, the total number of sampling moments and the average value of the operation data to be tested; determine the actual jitter characterization value of the elevator corresponding to the operation stage based on the actual jitter characterization value of the elevator at each sampling moment in the operation stage.

[0018] In one of the embodiments, performing fault detection on the elevator according to the actual jitter characterization amount corresponding to the elevator in the operation stage and the reference jitter characterization amount to obtain the fault detection result of the elevator includes:

[0019] According to the actual jitter characterization amount of the elevator at each sampling moment in the operation stage, an actual operation change curve of the elevator with respect to the at least one reference dimension in the operation stage is generated; according to the reference jitter characterization amount of the elevator at each sampling moment in the operation stage, a reference operation change curve of the elevator with respect to the at least one reference dimension in the operation stage is generated; according to the actual operation change curve and the reference operation change curve of the elevator with respect to the at least one reference dimension in the operation stage, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

[0020] In a second aspect, the present application also provides an elevator fault detection device, comprising:

[0021] A first acquisition module is used to acquire the operation data to be tested of the elevator for at least one reference dimension during the operation phase;

[0022] A determination module, configured to determine an actual jitter characterization amount corresponding to the elevator in the operation stage according to the operation data to be measured in the at least one reference dimension;

[0023] A second acquisition module is used to acquire a reference jitter characterization value corresponding to the elevator in the operation stage, where the reference jitter characterization value is a jitter characterization value corresponding to the elevator without any failure in the operation stage;

[0024] The detection module is used to perform fault detection on the elevator according to the actual jitter characterization quantity corresponding to the elevator in the operation stage and the reference jitter characterization quantity to obtain the fault detection result of the elevator.

[0025] In a third aspect, the present application further provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the following steps are implemented:

[0026] Acquiring the operation data to be tested of the elevator for at least one reference dimension during the operation phase;

[0027] Determine, according to the to-be-tested operation data of the at least one reference dimension, an actual jitter characterization amount corresponding to the elevator in the operation stage;

[0028] Obtaining a reference jitter characterization value corresponding to the elevator in the operation stage, wherein the reference jitter characterization value is a jitter characterization value corresponding to the elevator when no failure occurs in the operation stage;

[0029] According to the actual jitter characterization amount corresponding to the elevator in the operation stage and the reference jitter characterization amount, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

[0030] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the following steps are implemented:

[0031] Acquiring the operation data to be tested of the elevator for at least one reference dimension during the operation phase;

[0032] Determine, according to the to-be-tested operation data of the at least one reference dimension, an actual jitter characterization amount corresponding to the elevator in the operation stage;

[0033] Obtaining a reference jitter characterization value corresponding to the elevator in the operation stage, wherein the reference jitter characterization value is a jitter characterization value corresponding to the elevator when no failure occurs in the operation stage;

[0034] According to the actual jitter characterization amount corresponding to the elevator in the operation stage and the reference jitter characterization amount, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

[0035] In a fifth aspect, the present application further provides a computer program product, including a computer program, which implements the following steps when executed by a processor:

[0036] Acquiring the operation data to be tested of the elevator for at least one reference dimension during the operation phase;

[0037] Determine, according to the to-be-tested operation data of the at least one reference dimension, an actual jitter characterization amount corresponding to the elevator in the operation stage;

[0038] Obtaining a reference jitter characterization value corresponding to the elevator in the operation stage, wherein the reference jitter characterization value is a jitter characterization value corresponding to the elevator when no failure occurs in the operation stage;

[0039] According to the actual jitter characterization amount corresponding to the elevator in the operation stage and the reference jitter characterization amount, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

[0040] The above-mentioned elevator fault detection method, device, computer equipment, computer-readable storage medium and computer program product obtain the operating data to be tested for at least one reference dimension during the operation phase of the elevator; effectively solve the problem of difficult data acquisition in traditional methods, because it does not require a large amount of fault data for training, nor does it rely on complex sensor installation. By directly obtaining data from the elevator system, the cost and complexity of data acquisition can be effectively reduced.

[0041] According to the operation data to be tested of at least one reference dimension, the actual jitter characterization quantity corresponding to the elevator in the operation stage is determined; it can accurately reflect the changes in the elevator operation state, especially those subtle changes that may cause elevator failures. Compared with traditional detection methods, it can identify potential problems earlier and improve the sensitivity and accuracy of fault detection.

[0042] Obtain a reference jitter characterization quantity corresponding to the elevator in the operation stage, wherein the reference jitter characterization quantity is a jitter characterization quantity corresponding to the elevator without any fault in the operation stage; by establishing a reference model for the normal operation of the elevator, the normal operation and fault states can be distinguished more accurately. This process reduces the possibility of false alarms and improves the reliability of fault detection. Compared with existing detection methods, by determining the parameter range under normal operating conditions in advance, a more clear and reliable basis is provided for subsequent fault detection.

[0043] According to the actual jitter characterization quantity corresponding to the elevator in the operation stage and the reference jitter characterization quantity, the elevator is detected for faults to obtain the fault detection result of the elevator. Finally, by comparing the actual operation data with the reference data during normal operation, it is possible to quickly and accurately determine whether the elevator has a fault. This process not only improves the speed of fault detection, but also enhances the accuracy of the detection results, which is of great significance for timely discovering and solving elevator faults and ensuring passenger safety. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0045] FIG1 is an application environment diagram of an elevator fault detection method according to an embodiment;

[0046] FIG2 is a schematic diagram of a flow chart of an elevator fault detection method in one embodiment;

[0047] FIG3 is a system diagram of an elevator fault detection method in one embodiment;

[0048] FIG4 is a schematic flow chart of an elevator fault detection method in another embodiment;

[0049] FIG5 is a block diagram of an elevator fault detection device according to an embodiment;

[0050] FIG. 6 is a diagram showing the internal structure of a computer device in one embodiment. DETAILED DESCRIPTION

[0051] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0052] The elevator fault detection method provided in the embodiment of the present application can be applied in the application environment shown in FIG. 1. The terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be integrated on the server 104, or it can be placed on the cloud or other network servers. The terminal 102 is used to generate an elevator fault detection request and send the elevator fault detection request to the server 104, so that the server 104 performs fault detection on the elevator according to the actual jitter characterization amount and the reference jitter characterization amount corresponding to the elevator in the operation stage, and obtains the fault detection result of the elevator. The terminal 102 can be, but is not limited to, various personal computers, laptops, smart phones, tablet computers, Internet of Things devices and portable wearable devices. The Internet of Things devices can be smart speakers, smart TVs, smart air conditioners, smart car devices, projection devices, etc. The portable wearable device can be a smart watch, a smart bracelet, a head-mounted device, etc. The head-mounted device can be a virtual reality (VR) device, an augmented reality (AR) device, smart glasses, etc. The server 104 may be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services.

[0053] In an exemplary embodiment, as shown in FIG2 , a method for detecting an elevator fault is provided, which is described by taking the method applied to the server 104 in FIG1 as an example, and includes the following steps 202 to 208. Among them:

[0054] Step 202: Acquire the operating data to be tested of the elevator in the operating phase for at least one reference dimension.

[0055] The operation phase refers to a specific time period or specific state of the elevator in its entire operation cycle, such as the different phases of the elevator's acceleration and lifting, constant speed operation, deceleration and stop. It is understandable that these different operation phases have different requirements for the performance of the elevator, and the performance of the elevator in these different phases may also be different, especially when the elevator fails.

[0056] The operating data to be tested of at least one reference dimension refers to one or more indicators used to evaluate the operating status of the elevator in one or some operating stages of the elevator. These indicators may include but are not limited to the real-time load weight and acceleration of the elevator. These data are obtained in various ways, such as by detecting the voltage and current signals of the elevator traction motor, or by collecting them through pressure sensors, speed sensors, acceleration sensors and other devices installed on the elevator.

[0057] Specifically, first, in a certain time period or under a certain state during the entire operation cycle of the elevator, the pre-configured data acquisition equipment is used to record the changes in data such as load weight, speed, acceleration, etc. Then, the collected raw data is cleaned and formatted to ensure the validity and availability of the data. Finally, the processed data is analyzed to extract useful feature information, such as calculating the standard deviation of the load weight, speed, and acceleration curves.

[0058] Step 204: determining an actual jitter characterization value corresponding to the elevator in the operation stage according to the operation data to be measured in at least one reference dimension.

[0059] The actual jitter characterization refers to one or more quantitative indicators that are calculated based on the measured operation data of at least one reference dimension (such as load weight, speed, acceleration, etc.) during the actual operation of the elevator, and are used to reflect the stability of the elevator operation. Specifically, the actual jitter characterization can be determined by calculating the standard deviation of the load weight, speed or acceleration curve of the elevator in a certain operation stage (such as acceleration, constant speed, deceleration, etc.).

[0060] Specifically, all the measured values ​​within a time period are first selected. The average value of the load weight, speed or acceleration within the time period is calculated. Then the jitter degree of the elevator at a specific operation stage is quantified by calculating the standard deviation. For example, the standard deviation formula is used to calculate the standard deviation of the load weight, speed or acceleration, and the calculated standard deviation is used as the actual jitter characterization quantity of the elevator at a specific operation stage, so as to be compared with the reference jitter characterization quantity later.

[0061] Step 206, obtaining a reference jitter characterization value corresponding to the elevator in the running stage, where the reference jitter characterization value is a jitter characterization value corresponding to the elevator in the running stage without any failure.

[0062] The reference jitter characterization refers to the jitter characterization calculated based on the operation data of at least one reference dimension (such as load weight, speed, acceleration, etc.) when the elevator does not fail in a specific operation phase (such as acceleration, constant speed, deceleration, etc.). This characterization is used as a benchmark for normal operation so that it can be compared with the jitter characterization during actual operation to determine whether the elevator has failed.

[0063] Specifically, first, in each normal operation stage of the elevator (such as acceleration, uniform speed, deceleration, etc.), the pre-configured data acquisition device is used to record the load weight, speed, acceleration and other data. Optionally, ensure that the time period for data acquisition is long enough to cover multiple operation cycles and improve the representativeness of the data. Then clean and format the collected raw data to ensure the validity and availability of the data. Optionally, remove invalid or erroneous data points, such as outliers caused by sensor failure, and perform necessary transformations on the data to meet the requirements of subsequent analysis. Next, select all measurements within a time period. Calculate the average value of the load weight, speed or acceleration within the time period. And use the standard deviation formula to calculate the standard deviation of the load weight, speed or acceleration. Finally, use the calculated standard deviation as a reference jitter characterization. Record the reference jitter characterization for subsequent comparison with the actual jitter characterization.

[0064] Step 208, performing fault detection on the elevator according to the actual jitter characterization quantity and the reference jitter characterization quantity corresponding to the elevator in the operation stage, and obtaining the fault detection result of the elevator.

[0065] The fault detection result refers to the conclusion on whether the elevator has a fault by comparing the actual jitter characteristic quantity and the reference jitter characteristic quantity of the elevator at a specific operation stage. Specifically, the fault detection result can be "normal" or "faulty", which is used to indicate whether the operation status of the elevator is normal at this operation stage.

[0066] Specifically, a threshold is first set. Optionally, the threshold is 2 to 3 times the reference jitter characterization value. Then a comparison is performed. If the actual jitter characterization value is less than or equal to the set threshold, the elevator is judged to be normal. If the actual jitter characterization value is greater than the set threshold, the elevator is judged to be likely to have a fault. Finally, the detection results are recorded in a database or log file for subsequent review and analysis.

[0067] In one of the embodiments, the speed and acceleration of the elevator at the targeted sampling moment are determined; the moment of inertia of the elevator is obtained, and the steady-state power of the elevator at the targeted sampling moment is determined based on the moment of inertia, speed and acceleration; the fitting parameters of the elevator are obtained, and the load weight of the elevator at the targeted sampling moment is determined based on the fitting parameters, speed and steady-state power.

[0068] In one of the embodiments, for each sampling moment in the operation stage, the output current and output voltage of the elevator at the sampling moment are obtained; a preset power factor is obtained, and the output current, output voltage and preset power factor are multiplied to obtain the output power of the elevator at the sampling moment; the inertia power of the elevator at the sampling moment is determined according to the moment of inertia, speed and acceleration; and the steady-state power of the elevator at the sampling moment is determined according to the inertia power and output power of the elevator at the sampling moment.

[0069] Optionally, for each sampling moment in the operation stage, the output current and output voltage of the elevator at the sampling moment are obtained, and the output power, speed and acceleration of the elevator at the sampling moment are determined respectively based on the output current and output voltage; the moment of inertia of the elevator is obtained, and the inertia power of the elevator at the sampling moment is determined based on the moment of inertia, speed and acceleration; the steady-state power of the elevator at the sampling moment is determined based on the inertia power and output power of the elevator at the sampling moment; the fitting parameters of the elevator are obtained, and the load weight of the elevator at the sampling moment is determined based on the fitting parameters, speed and steady-state power.

[0070] The sampling time refers to the time point set in a cycle of elevator operation to monitor the status of the elevator. These time points can be continuous or intermittent. At each sampling time, the system will collect relevant data of the elevator, such as output current, output voltage, etc., for subsequent calculation and analysis.

[0071] The moment of inertia refers to the ability of an object to resist changes in angular acceleration when rotating. In an elevator system, the moment of inertia is mainly related to the mass distribution of rotating parts such as the elevator car and motor rotor. The moment of inertia can be obtained through specific tests or based on the design parameters of the elevator. It is one of the important parameters for calculating the inertia power of the elevator.

[0072] Inertia power refers to the power generated by the acceleration and speed changes of the elevator during its operation. Inertia power is equal to the product of rotational inertia, speed and acceleration. Inertia power reflects the energy required by the elevator during acceleration or deceleration.

[0073] Steady-state power refers to the power required by the elevator when it is running at a constant speed. Steady-state power is related to factors such as the elevator's load weight and running speed. Steady-state power reflects the energy required for the elevator to maintain operation at a constant speed.

[0074] The correction parameter is a parameter used to correct the calculation result of the elevator load weight. Due to various uncertain factors (such as mechanical wear, electrical noise, etc.) that may exist in the elevator system, the directly calculated load weight may not be accurate enough, so it is necessary to adjust the calculation result through the correction parameter to make it closer to the actual load weight. It can be understood that the correction parameter, as a variable parameter, is related to the height from the preset initial position during the elevator operation, and changes with the height from the preset initial position during the elevator operation.

[0075] The fitting parameters specifically refer to the steady-state fitting parameters, which are related to the car mass, the counterweight mass, and the rope mass at the initial position of the elevator of the transmission system. As a constant parameter, the fitting parameters can be calculated through the debugging data.

[0076] Load weight refers to the actual weight carried in the elevator car. By calculating the elevator's output power, inertia power, steady-state power and other parameters, combined with the correction parameters, the actual load weight of the elevator at a certain sampling time can be determined. It is understandable that accurate measurement of load weight is crucial to the safe operation of the elevator, especially in fault detection, where changes in load weight can help identify whether the elevator has an abnormality.

[0077] Specifically, first, at each sampling moment of the elevator operation, an electric quantity sensor is used to collect the output voltage and output current of the elevator traction motor inverter at each sampling moment.

[0078] Then the output power of the elevator is calculated according to the product of the output current and the output voltage. Optionally, taking the sampling time t2 as an example, the output voltage and output current of the elevator traction motor inverter at the sampling time t2 are collected.

[0079] The output power of the elevator at the sampling time t2 is calculated by the following formula:

[0080] P = U × I × cos (λ)

[0081] Among them, U is the output voltage, I is the output current, cos(λ) is the power factor, which can be obtained through measurement or known data, and P is the output power of the elevator at the sampling time t2.

[0082] In a permanent magnet synchronous motor, since the motor speed is proportional to the frequency of the current and voltage, the elevator running speed is proportional to the frequency of the current and voltage. The motor speed can be obtained through the frequency of the current and voltage, and then the elevator running speed can be obtained. In a three-phase asynchronous motor, the motor speed can also be obtained through the frequency of the current and voltage, and then the elevator running speed can be obtained.

[0083] The acceleration of the elevator at the sampling time t2 is calculated by the following formula:

[0084] a=(V2-V1) / (t2-t1)

[0085] Among them, a is the acceleration of the elevator at the sampling time t2, t1 is a sampling time before the sampling time t2, V2 is the running speed of the elevator at the sampling time t2, and V1 is the running speed of the elevator at the sampling time t1.

[0086] Next, the moment of inertia is obtained through the design parameters of the elevator or through specific tests, and the inertia power of the elevator at each sampling moment is calculated using the following formula:

[0087] P 惯量 =J×v×a

[0088] Where J is the moment of inertia, v is the speed of the elevator at each sampling time, a is the output power of the elevator at each sampling time, P 惯量 is the inertia power of the elevator at each sampling moment.

[0089] The steady-state power of the elevator at each sampling moment is calculated using the following formula:

[0090] P 稳态 =P 输出 -P 惯量

[0091] Among them, P 输出 is the output power of the elevator at each sampling moment, P 惯量 is the inertia power of the elevator at each sampling moment, P 稳态 is the steady-state power of the elevator at each sampling moment.

[0092] Then the correction parameters are obtained through debugging data. It can be understood that the correction parameters are related to the car mass, the balance weight mass and the rope mass of the initial position of the elevator of the transmission system.

[0093] Finally, the load weight of the elevator at each sampling moment is calculated by the following formula:

[0094] M = P 稳态 / (g×v)+b+J

[0095] Among them, P稳态 is the steady-state power of the elevator at each sampling moment, g is the acceleration of gravity, b is the elevator parameter, v is the speed of the elevator at each sampling moment, J is the correction parameter, and M is the load weight of the elevator at each sampling moment.

[0096] Since it mainly relies on collecting the voltage and current signals of the elevator traction motor, there is no need to carry out complex mechanical transformation of the elevator, and the installation is simple. And by establishing a mathematical model of the elevator transmission system, the necessary parameters can be quickly obtained, and the debugging process is simple and fast.

[0097] In one of the embodiments, the mass of the car, the mass of the counterweight, and the mass of the rope of the elevator at the initial position are obtained; the height distance of the car from the preset height position at the targeted sampling moment is determined; and the fitting parameters of the elevator at the targeted sampling moment are determined based on the mass of the car, the mass of the counterweight, the mass of the rope of the elevator at the initial position, and the height distance of the car from the preset height position at the targeted sampling moment.

[0098] Among them, the car refers to the part of the elevator used to load passengers or goods, usually a closed space. For example, passengers or goods enter the car and are transported to the target floor through the elevator system.

[0099] The counterweight is a device on the side opposite to the car, usually equipped with a counterweight block, used to balance the weight of the car. The counterweight is connected to the car through ropes to help reduce the load on the motor and improve the operating efficiency and safety of the elevator.

[0100] The rope is a device that connects the car and the counterweight, usually made of steel wire, and is used to transmit power and counterweight. And the rope is driven by the traction sheave to move the car and the counterweight up and down in the hoistway.

[0101] The preset height position refers to a fixed reference height, which is usually a specific floor (such as a reference floor or a lowest floor) in the elevator shaft. It can be understood that the preset height position is used to calculate the mass change of the rope at different heights, thereby determining the correction parameters.

[0102] The height distance refers to the actual height difference between the car and the preset height position at a certain sampling moment. It is used to calculate the mass change of the rope when the car is at different heights, thereby affecting the calculation of the correction parameters.

[0103] Specifically, firstly, the basic parameters of each key component in the elevator system are obtained to provide basic data for the subsequent calculation of the correction parameters, including: obtaining the mass of the car and the mass of the counterweight. It can be understood that the mass of the car and the mass of the counterweight are known in advance when the elevator is designed. Obtain the mass of the rope when the elevator is in the initial position.

[0104] Then, at each sampling moment, the actual height difference between the car and the preset height position is obtained through the sensor or the elevator control system.

[0105] Finally, the fitting parameters of the elevator at each sampling time are calculated by the following calculation formula:

[0106] b = - (m c +m r0 -m d -2kx a )

[0107] Among them, m c is the mass of the car, md is the mass of the counterweight, m r0 is the mass of the rope at the initial position of the elevator, k is the elevator parameter, x a is the elevator acceleration or deceleration displacement, and h is the height distance of the car from the preset height position at each sampling moment.

[0108] As the fitting parameters are constant parameters, they can be calculated through debugging data. The fitting parameters are related to the car mass, counterweight mass, and rope mass of the transmission system. The car mass, counterweight mass, rope mass, and their variation are already determined during the elevator design and can be directly obtained. There is no need for complex on-site measurements. The fitting parameters can be directly calculated through formulas. The debugging process is simple and fast, reducing the time and cost of on-site debugging.

[0109] In one of the embodiments, for each sampling moment in the operation stage, the average value of the operation data to be measured of the elevator at all sampling moments before the sampling moment and the total number of sampling moments are determined; based on the operation data to be measured at the sampling moment, the total number of sampling moments and the average value of the operation data to be measured of the elevator, the actual jitter characterization value of the elevator at the sampling moment is determined; based on the actual jitter characterization value of the elevator at each sampling moment in the operation stage, the actual jitter characterization value corresponding to the elevator in the operation stage is determined.

[0110] The average value of the operating data to be measured refers to the average value of the operating data to be measured (such as the load weight or acceleration of the elevator) at all sampling points before a specific time point (sampling time).

[0111] The total number of sampling moments refers to the number of all sampling times that have been completed before this specific time point.

[0112] Specifically, firstly, necessary data is prepared for each sampling moment for subsequent calculation of the actual jitter characterization quantity, including: determining a specific sampling moment T as the time point for analysis. Reviewing all sampling moments from the start of the elevator operation to the sampling moment T, and recording the operation data to be tested (such as load weight or acceleration) at all sampling moments before the sampling moment T. These data constitute a data set D. Calculate the average value of all data in the data set D as the average value of the operation data to be tested, and count the total number of sampling moments contained in the data set D as the total number of sampling moments N.

[0113] Then, based on the data prepared in the above steps, the actual jitter characterization quantity at the current sampling moment T is calculated, including: reading the running data to be tested at the sampling moment T. Using the data at the current sampling moment, the total number of sampling moments N and the average value of the running data to be tested, the deviation between the data at the current sampling moment and the average value is calculated. Optionally, this deviation can be obtained by calculating the absolute value of the difference between the data at the current sampling moment and the average value of the running data to be tested, or by calculating the square difference between the data at the current sampling moment and the average value of the running data to be tested, which can be set according to actual needs. According to the calculated deviation between the data at the current sampling moment and the average value, the actual jitter characterization quantity at the current sampling moment T is determined. Optionally, the standard deviation, that is, the square root of the deviation, is calculated, and the square root of the deviation is used as the actual jitter characterization quantity at the current sampling moment T. The actual jitter characterization quantity of the elevator at each sampling moment in the running stage jointly reflects the actual jitter characterization quantity corresponding to the elevator in the running stage. It can be understood that the square root of the deviation can better reflect the discreteness of the data.

[0114] Since the load weight and acceleration of the elevator can be monitored in real time during the operation of the elevator, abnormal jitter can be detected in time. By calculating the actual jitter characterization quantity at each sampling moment in real time, the abnormal situation of the elevator can be quickly identified. And by calculating the data mean and standard deviation at each sampling moment, this method can accurately reflect the jitter of the elevator at different operation stages, improve the accuracy of fault detection, and effectively filter out short-term noise and interference, and improve the stability of the data.

[0115] In one of the embodiments, according to the operation data to be measured of the elevator at the sampling time, the total number of sampling times and the average value of the operation data to be measured, the actual jitter characterization amount of the elevator at the sampling time is determined, which is achieved by the following calculation formula:

[0116] σ =

[0117] Wherein, Xi is the running data of the elevator to be tested at the sampling time and all sampling times before the sampling time, N is the total number of sampling times, is the average value of the running data to be tested, and σ is the actual jitter characteristic value of the elevator at the sampling moment.

[0118] In one example, first, the load weight W at sampling time T5 is T5 There are 5 sampling moments from the beginning to sampling moment T5, that is, N=5. Assume that the load weights at the first 5 sampling moments are 1000kg, 1010kg, 990kg, 1005kg, and 1000kg respectively.

[0119] Average value Avg = (1000 + 1010 + 990 + 1005 + 1000) / 5 = 1001 kg

[0120] Deviation W T5 = W T5 -Avg=1000-1001=-1kg

[0121] Standard deviation T5 =

[0122] Where Xi is the running data of the elevator at the sampling time T5 and all sampling times before the sampling time T5, i.e., 1000kg, 1010kg, 990kg, 1005kg, and 1000kg. Standard deviation σ T5 is the actual jitter characteristic value of the elevator at the sampling time T5.

[0123] Since this method not only monitors the load weight of the elevator, but also other key parameters such as acceleration, through multi-dimensional data analysis, it can more comprehensively evaluate the operating status of the elevator and improve the accuracy of fault detection. And by calculating the average and standard deviation, this method can effectively filter out short-term noise and interference and improve the stability of the data. This helps to reduce false positives and false negatives and improve the overall performance of the system.

[0124] In one of the embodiments, based on the actual jitter characterization amount of the elevator at each sampling moment in the operation stage, an actual operation change curve of the elevator for at least one reference dimension in the operation stage is generated; based on the reference jitter characterization amount of the elevator at each sampling moment in the operation stage, a reference operation change curve of the elevator for at least one reference dimension in the operation stage is generated; based on the actual operation change curve and the reference operation change curve of the elevator for at least one reference dimension in the operation stage, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

[0125] Among them, the actual operation change curve refers to the change curve generated during the actual operation of the elevator based on the actual jitter characterization quantity of the elevator at each sampling moment in the operation stage (such as the measured values ​​of parameters such as load weight, speed, acceleration, etc.). These curves reflect the changing trend of the actual jitter of the elevator in a specific time period as time and position change. The actual operation change curve can intuitively show the various state changes during the operation of the elevator. In particular, when the elevator has abnormal jitter, these curves will show abnormal fluctuations.

[0126] The reference operation change curve refers to the expected change curve of the elevator in at least one reference dimension (which may also be load weight, speed, acceleration, etc.) during the operation phase under ideal conditions, or when the elevator does not malfunction. This curve is usually based on the design parameters of the elevator, theoretical calculations, or data statistics of multiple operations of the elevator under normal conditions. The reference operation change curve is used as a comparison standard to help identify whether the elevator has any behavior that deviates from the normal state during operation.

[0127] Specifically, first, for each sampling time T in the elevator operation stage i , calculate the actual jitter characterization value σ at each sampling moment (T i ). Each sampling moment T i The actual jitter characterization quantity σ (T i ) is plotted on the time axis to form a curve. It can be understood that this curve shows the changing trend of the elevator's vibration during operation.

[0128] Then, when the elevator is operating normally, for each sampling time T i , calculate the reference jitter characterization quantity σ at each sampling moment ref (T i ). These reference data are usually collected when the elevator is not faulty. i The reference jitter characterization quantity σ ref (T i ) is plotted on the time axis to form a curve. It can be understood that this curve shows the changing trend of the elevator's jitter during normal operation.

[0129] Next, by comparing the actual operation change curve with the reference operation change curve, it is possible to determine whether the elevator has abnormal jitter during operation, thereby performing fault detection. For example, the threshold θ is set to be twice the reference jitter characteristic value. By comparing the actual operation change curve with the reference operation change curve, the actual jitter characteristic value σ(T2) at sampling time T2 is 2.4, and the reference jitter characteristic value σ at sampling time T2 is ref (T i) = 1.1. At this time, for the sampling time T2, the actual jitter characteristic value σ(T2) at the sampling time T2 exceeds the reference jitter characteristic value σ at the sampling time T2. ref (T i ), that is, it exceeds the set threshold value θ, and it is judged as abnormal jitter. The actual jitter characteristic quantity at other times does not exceed the set threshold value θ, and it is judged to be normal operation. It is also possible to comprehensively consider whether the actual jitter characteristic quantity at all times of the entire process exceeds the set threshold value θ to determine whether there is abnormal jitter.

[0130] It is understandable that the present application does not impose any specific limitation on the setting of the threshold value θ, and it can be set according to actual needs. For example, the threshold value θ can be a multiple of the reference jitter characteristic value, or can be a specific value.

[0131] Finally, a fault detection result is generated. For example, the fault detection result shows that the elevator has abnormal jitter at sampling time T2, which may indicate a fault.

[0132] By generating the actual operation change curve and the reference operation change curve and performing comparative analysis, the method can automatically diagnose the fault of the elevator. Once abnormal jitter is found, the system can immediately issue an alarm to remind the maintenance personnel to check and repair. In addition, the generated actual operation change curve and the reference operation change curve can intuitively show the jitter of the elevator during operation, which is convenient for maintenance personnel to analyze and judge. By comparing the actual operation change curve and the reference operation change curve, the long-term operation trend of the elevator can be analyzed, potential failure modes can be discovered, and a basis for failure prediction can be provided.

[0133] In one embodiment, referring to FIG. 3 , FIG. 3 shows a real-time load weight acquisition process, which specifically includes:

[0134] Step 1: Measure the voltage U and current I of the elevator system respectively through sensors.

[0135] Step 2: Use the collected voltage U and current I to calculate the power P, speed V and acceleration a of the elevator system.

[0136] Step 3: Based on the calculated parameters (V, a, P), a mathematical model of the elevator transmission system is established.

[0137] The process of establishing the mathematical model of the elevator transmission system includes:

[0138] 1. The acceleration a(t) of the elevator during operation. In the process from starting to accelerating, then running at a constant speed, decelerating and finally stopping, the acceleration a(t) will first be greater than 0, then equal to 0, then less than 0, and finally equal to 0, corresponding to one operation cycle of the elevator.

[0139] 2. The power balance expression P of the transmission system during elevator operation in =Jva+((m+m c +m r1 )-(m d +m r2 ))gv

[0140] Among them, P in refers to the input power of the elevator transmission system, m refers to the actual load weight in the car, g refers to the acceleration of gravity, v refers to the running speed of the elevator, J refers to the moment of inertia, a refers to the acceleration, m c is the car weight, m r1 is the weight of the rope on one side of the car, m d is the mass of the balancing weight, m r2 To balance the weight of the rope on one side.

[0141] 3. Divide the input power of the elevator transmission system into two parts: inertia power and steady-state power.

[0142] P in =P inertia +P steady , where P in is the input power, P inertia is the inertia power, P steady is the steady state power.

[0143] 4. Inertia power P inertia =J×a×v, where J is the moment of inertia, a is the acceleration, and v is the velocity.

[0144] 5. Steady-state power P steady =(m + m c +m r -m w -m rw )×g×v

[0145] Among them, P steady is the steady-state power, m is the load weight, m c is the weight of the car, m r is the weight of the rope on one side of the car, m w is the weight of the balancing weight, m rw To balance the weight of the rope on one side of the counterweight, v is the speed of the elevator.

[0146] 6. Load weight m = P steady / (g×v)-(m c +m r -m w -m rw )

[0147] The load weight of the elevator during the upward process is m = P steady / (g×v)+b+2k(hx a )

[0148] b = - (m c +m r0 -m d- 2kx a )

[0149] The load weight of the elevator during the descent is m = P steady / (g×v)+b+2k(x a +hH)

[0150] b = - (m c +m r0 -m d -2kx a -2k(Hx a )

[0151] Where b is a constant parameter related to the car mass, counterweight mass, and initial position rope mass of the transmission system, H is the highest floor height that the elevator can lift, and x is a is the elevator acceleration distance, r0 is the rope mass at the initial position.

[0152] 7. Relationship between the quality of the transmission system rope and the operating height of the elevator car

[0153] m r = m r0 +k h ×h, where m r is the weight of the rope on one side of the car, m r0 is the mass of the rope when the elevator car is at the reference floor, k h is the mass change of the rope per meter, and h is the height of the current car from the reference floor (the lowest floor).

[0154] Step 4: Use the elevator drive system model and the speed V, acceleration a, and power P measured during actual operation to derive the real-time load weight of the elevator.

[0155] Optionally, the counterweight device exists to balance the weight of the elevator car, thereby reducing the driving force required by the motor and improving the operating efficiency of the elevator.

[0156] Through the physical quantity measurement, mathematical modeling and data analysis in the above steps, an effective estimation of the real-time load weight of the elevator is achieved. This technology is of great significance for improving elevator safety, energy saving and user experience.

[0157] In an exemplary embodiment, as shown in FIG4 , steps 402 to 408 are included. Among them:

[0158] Step 402, determine the speed and acceleration of the elevator at the targeted sampling moment; for each sampling moment in the operation stage, obtain the output current and output voltage of the elevator at the targeted sampling moment; obtain a preset power factor, and multiply the output current, output voltage and preset power factor to obtain the output power of the elevator at the targeted sampling moment; determine the inertia power of the elevator at the targeted sampling moment according to the rotational inertia, speed and acceleration; determine the steady-state power of the elevator at the targeted sampling moment according to the inertia power and output power of the elevator at the targeted sampling moment; obtain the mass of the car, the mass of the balancing weight, and the mass of the rope of the elevator at the initial position; determine the height distance of the car from the preset height position at the targeted sampling moment; determine the fitting parameters of the elevator at the targeted sampling moment according to the mass of the car, the mass of the balancing weight, the mass of the rope of the elevator at the initial position and the height distance of the car from the preset height position at the targeted sampling moment, and determine the load weight of the elevator at the targeted sampling moment according to the fitting parameters, speed and steady-state power;

[0159] Step 404: for each sampling moment in the operation stage, determine the average value of the operation data to be measured of the elevator at all sampling moments before the sampling moment and the total number of sampling moments; determine the actual jitter characterization amount of the elevator at the sampling moment according to the operation data to be measured of the elevator at the sampling moment, the total number of sampling moments and the average value of the operation data to be measured; determine the actual jitter characterization amount corresponding to the elevator in the operation stage according to the actual jitter characterization amount of the elevator at each sampling moment in the operation stage;

[0160] Step 406, obtaining a reference jitter characterization value corresponding to the elevator in the running stage, where the reference jitter characterization value is a jitter characterization value corresponding to the elevator in the running stage without any failure;

[0161] Step 408: Generate an actual operation change curve of the elevator in the operation stage for at least one reference dimension based on the actual jitter characterization at each sampling moment in the operation stage of the elevator; generate a reference operation change curve of the elevator in the operation stage for at least one reference dimension based on the reference jitter characterization at each sampling moment in the operation stage of the elevator; perform fault detection on the elevator based on the actual operation change curve and the reference operation change curve for at least one reference dimension in the operation stage to obtain a fault detection result of the elevator.

[0162] It should be understood that, although the steps in the flowcharts involved in the above embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps is not strictly limited in order, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above embodiments may include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0163] Based on the same inventive concept, the embodiment of the present application also provides an elevator fault detection device for implementing the elevator fault detection method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more elevator fault detection device embodiments provided below can refer to the limitations of the elevator fault detection method above, and will not be repeated here.

[0164] In an exemplary embodiment, as shown in FIG5 , an elevator fault detection device 500 is provided, comprising: a first acquisition module 502, a determination module 504, a second acquisition module 506 and a detection module 508, wherein:

[0165] The first acquisition module 502 is used to acquire the to-be-tested operation data of the elevator for at least one reference dimension during the operation phase;

[0166] A determination module 504 is used to determine an actual jitter characterization amount corresponding to the elevator in the operation stage according to the operation data to be measured in at least one reference dimension;

[0167] The second acquisition module 506 is used to obtain a reference jitter characterization value corresponding to the elevator in the running stage, where the reference jitter characterization value is a jitter characterization value corresponding to the elevator in the running stage without any failure;

[0168] The detection module 508 is used to perform fault detection on the elevator according to the actual jitter characterization quantity and the reference jitter characterization quantity corresponding to the elevator in the operation stage, and obtain the fault detection result of the elevator.

[0169] In one embodiment, the first acquisition module 502 is used to determine the speed and acceleration of the elevator at the sampling moment; obtain the moment of inertia of the elevator, and determine the steady-state power of the elevator at the sampling moment based on the moment of inertia, speed and acceleration; obtain the fitting parameters of the elevator, and determine the load weight of the elevator at the sampling moment based on the fitting parameters, speed and steady-state power.

[0170] In one embodiment, the first acquisition module 502 is used to obtain the output current and output voltage of the elevator at each sampling moment in the operation stage; obtain a preset power factor, and multiply the output current, output voltage and preset power factor to obtain the output power of the elevator at the sampling moment; determine the inertia power of the elevator at the sampling moment according to the moment of inertia, speed and acceleration; determine the steady-state power of the elevator at the sampling moment according to the inertia power and output power of the elevator at the sampling moment.

[0171] In one embodiment, the first acquisition module 502 is used to obtain the mass of the car, the mass of the counterweight, and the mass of the rope of the elevator at the initial position; determine the height distance of the car from the preset height position at the targeted sampling moment; and determine the fitting parameters of the elevator at the targeted sampling moment based on the mass of the car, the mass of the counterweight, the mass of the rope of the elevator at the initial position, and the height distance of the car from the preset height position at the targeted sampling moment.

[0172] In one of the embodiments, the determination module 504 is used to determine, for each sampling moment in the operation stage, the average value of the operation data to be tested of the elevator at all sampling moments before the sampling moment and the total number of sampling moments; determine the actual jitter characterization value of the elevator at the sampling moment based on the operation data to be tested of the elevator at the sampling moment, the total number of sampling moments and the average value of the operation data to be tested; determine the actual jitter characterization value corresponding to the elevator in the operation stage based on the actual jitter characterization value of the elevator at each sampling moment in the operation stage.

[0173] In one of the embodiments, the detection module 508 is used to generate an actual operation change curve of the elevator for at least one reference dimension during the operation stage according to the actual jitter characterization amount of the elevator at each sampling moment during the operation stage; generate a reference operation change curve of the elevator for at least one reference dimension during the operation stage according to the reference jitter characterization amount of the elevator at each sampling moment during the operation stage; perform fault detection on the elevator according to the actual operation change curve and the reference operation change curve for at least one reference dimension during the operation stage to obtain a fault detection result of the elevator.

[0174] Each module in the above elevator fault detection device can be implemented in whole or in part by software, hardware or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0175] In an exemplary embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be shown in FIG6. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected via a system bus, and the communication interface is connected to the system bus via the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data related to elevator fault detection. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, an elevator fault detection method is implemented.

[0176] Those skilled in the art will understand that the structure shown in FIG. 6 is merely a block diagram of a partial structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0177] In one embodiment, a computer device is further provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above method embodiments when executing the computer program.

[0178] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0179] In one embodiment, a computer program product is provided, including a computer program, which implements the steps in the above method embodiments when executed by a processor.

[0180] It should be noted that 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 this application 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 relevant regulations.

[0181] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0182] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0183] The above embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. An elevator fault detection method, characterized in that: The method comprises: Acquiring the operation data to be tested of the elevator for at least one reference dimension during the operation phase; Determine, according to the to-be-tested operation data of the at least one reference dimension, an actual jitter characterization amount corresponding to the elevator in the operation stage; Obtaining a reference jitter characterization value corresponding to the elevator in the operation stage, wherein the reference jitter characterization value is a jitter characterization value corresponding to the elevator when no failure occurs in the operation stage; According to the actual jitter characterization amount corresponding to the elevator in the operation stage and the reference jitter characterization amount, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

2. The method according to claim 1, characterized in that: The at least one reference dimension of the operating data to be tested includes load weight and acceleration; the obtaining of the at least one reference dimension of the operating data to be tested of the elevator during the operation phase includes: Determining the speed and acceleration of the elevator at the targeted sampling time; Acquire the moment of inertia of the elevator, and determine the steady-state power of the elevator at the sampling moment according to the moment of inertia, the speed and the acceleration; The fitting parameters of the elevator are obtained, and the load weight of the elevator at the sampling moment is determined according to the fitting parameters, the speed and the steady-state power.

3. The method according to claim 2, characterized in that Determining the steady-state power of the elevator at the sampling moment according to the moment of inertia, the speed and the acceleration includes: For each sampling moment in the operation stage, the output current and output voltage of the elevator at the sampling moment are obtained; Obtaining a preset power factor, and multiplying the output current, the output voltage, and the preset power factor to obtain the output power of the elevator at the sampling moment; Determining the inertia power of the elevator at the sampling moment according to the rotational inertia, the speed and the acceleration; The steady-state power of the elevator at the sampling moment is determined according to the inertia power and the output power of the elevator at the sampling moment.

4. The method according to claim 2, characterized in that: The elevator includes ropes, a car and a counterweight assembly; The obtaining the fitting parameters of the elevator comprises: Obtaining the mass of the car, the mass of the counterweight, and the mass of the rope of the elevator at the initial position; Determining the height distance of the car from the preset height position at the targeted sampling time; The fitting parameters of the elevator at the sampling moment are determined according to the mass of the car, the mass of the balancing weight, the mass of the rope of the elevator at the initial position, and the height distance of the car from the preset height position at the sampling moment.

5. The method according to claim 1, characterized in that The determining, according to the measured operation data of the at least one reference dimension, an actual jitter characterization amount corresponding to the elevator in the operation stage includes: For each sampling moment in the operation stage, determine the average value of the operation data to be measured of all sampling moments before the sampling moment and the total number of sampling moments of the elevator; Determine the actual jitter characterization amount of the elevator at the sampling moment according to the operation data to be tested of the elevator at the sampling moment, the total number of sampling moments and the average value of the operation data to be tested; According to the actual jitter characterization amount of the elevator at each sampling moment in the operation stage, the actual jitter characterization amount corresponding to the elevator in the operation stage is determined.

6. The method according to claim 5, characterized in that The performing fault detection on the elevator according to the actual jitter characterization amount corresponding to the elevator in the operation stage and the reference jitter characterization amount to obtain the fault detection result of the elevator includes: Generate an actual operation change curve of the elevator for the at least one reference dimension during the operation stage according to an actual jitter characterization amount of the elevator at each sampling moment during the operation stage; Generate a reference operation change curve of the elevator for the at least one reference dimension during the operation stage according to a reference jitter characterization amount of the elevator at each sampling moment during the operation stage; According to the actual operation change curve and the reference operation change curve of the elevator with respect to the at least one reference dimension during the operation stage, fault detection is performed on the elevator to obtain a fault detection result of the elevator.

7. An elevator fault detection device, characterized in that: The device comprises: A first acquisition module is used to acquire the operation data to be tested of the elevator for at least one reference dimension during the operation phase; A determination module, configured to determine an actual jitter characterization amount corresponding to the elevator in the operation stage according to the operation data to be measured in the at least one reference dimension; A second acquisition module is used to acquire a reference jitter characterization value corresponding to the elevator in the operation stage, where the reference jitter characterization value is a jitter characterization value corresponding to the elevator without any failure in the operation stage; The detection module is used to perform fault detection on the elevator according to the actual jitter characterization quantity corresponding to the elevator in the operation stage and the reference jitter characterization quantity to obtain the fault detection result of the elevator.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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