Elevator traction and braking performance evaluation method based on no-load uplink

Abstract

The application discloses a kind of based on no-load uplink experimental data driving's elevator traction and brake performance evaluation method, formulates elevator car no-load uplink experiment, extracts elevator car no-load uplink experimental sample data;Based on experimental sample data, using the time domain analysis method in signal processing technique, in combination with the physical process of starting, braking, the acceleration data of car no-load uplink starting, braking is divided into several characteristic sections, and the characteristic parameters representing traction, braking performance are extracted from the characteristic section, and an elevator state diagnosis model is established;Based on elevator state diagnosis model, the performance of traction and braking is evaluated, and the confidence of the evaluation result is calculated according to the established elevator performance evaluation confidence function.The application can evaluate the performance of elevator traction and braking simultaneously, with high evaluation efficiency.Secondly, the application is an evaluation method based on experimental data analysis, which is closer to engineering practice than theoretical calculation, and can evaluate three indicators of braking performance, with high evaluation accuracy.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of elevator safety technology, and in particular to an elevator traction and braking performance evaluation method based on no-load uplink experimental data. BACKGROUND

[0002] With the rapid development of economy, the number of elevators has increased dramatically. At present, there are a large number of old elevators with long service life, and their safety performance is gradually decreasing. Traction performance and braking performance are the core part of elevator safety performance, and when the performance declines, it will directly affect the safety of the elevator, and is easy to cause serious accidents such as elevator top collision and passenger extrusion.

[0003] The current evaluation method for elevator traction and braking performance is mainly through overload downlink test (putting 1.25 times the rated load into the car, and implementing emergency braking during the downlink process of the car). This method is provided by the national standard and is a relatively common method, but the national standard does not provide quantitative requirements for the evaluation of test results, so the evaluation conclusion is still in the qualitative stage; this test needs to carry weights, and has the disadvantages of low evaluation efficiency, high evaluation cost and easy damage to old elevators. Therefore, the traditional method is difficult to meet the demand for accuracy and efficiency of evaluation conclusion.

[0004] In view of the above-mentioned deficiencies, there are many evaluation methods for elevator traction and braking performance at present, such as elevator performance evaluation method based on stopping distance, elevator braking performance evaluation method based on model, etc.

[0005] The elevator performance evaluation method based on stopping distance, the principle of this method is to analyze the car stopping distance during the stopping process of the elevator to evaluate the performance of the elevator. Since the stopping of the elevator needs to rely on the sliding friction between the brake wheel and the brake shoe and between the traction wheel and the steel wire rope to convert the kinetic energy of the elevator into heat energy to stop the operation of the elevator, therefore, when the traction performance or braking performance is abnormal, it can be reflected by the stopping distance. The typical of this method is the standard T / CASEI T102-2015 "Traction drive elevator braking capacity fast detection method". The standard gives the reasonable value range of the car moving distance during the car no-load uplink stopping process, when the car moving distance is within the reasonable range, it is concluded that the braking performance is normal, otherwise it indicates that the braking performance is abnormal. This method is simple to operate, and provides a reference basis for quantitative evaluation of elevator performance.

[0006] The elevator braking performance evaluation method based on model analyzes the dynamics of the no-load uplink braking and the overload downlink braking process and finds out the quantitative relationship between the two, thereby establishing a mathematical model for evaluating the performance of the elevator. In the evaluation, only the no-load uplink braking acceleration is measured, and then the braking performance of the elevator can be evaluated by using the model.

[0007] The above methods are all for no-load uplink braking test, and then analyze the test results from different angles to obtain the elevator performance evaluation method, which improves the convenience, safety and economy of the evaluation. In the case of normal traction performance, the above methods can effectively evaluate the braking performance.

[0008] The above methods have the following shortcomings. First, in the case of abnormal traction performance, the evaluation conclusion of the above methods becomes inaccurate. In the braking distance method, the car stopping distance is the sum of the slip distance of the traction wheel and the steel wire rope, and the coupling of the traction performance and the braking performance causes the stopping distance to be unable to effectively evaluate the braking performance. Similarly, in the model-based evaluation method, the mutual influence between the traction and braking performance is not comprehensively considered in the establishment of the model, which leads to insufficient accuracy of the model. In addition, some parameters in the model, such as the car mass and the balance coefficient, are difficult to obtain, which limits the use of such methods. Finally, the above methods cannot evaluate the traction performance.

[0009] In summary, the current elevator traction and braking performance evaluation methods still have the problems of low evaluation efficiency and insufficient evaluation accuracy. SUMMARY

[0010] The present application aims to at least partially solve one of the technical problems in the related art. To this end, one object of the present application is to provide an elevator traction and braking performance evaluation method based on no-load uplink experimental data. First, a no-load uplink experiment of an elevator is performed to obtain acceleration data of the no-load car uplink starting and braking process. Second, the acceleration data of the uplink starting and braking is analyzed and feature parameters are extracted. Third, an elevator state diagnosis model is established based on the statistical feature parameters of a large number of no-load uplink starting and braking experimental data of different elevators and different traction and braking performance states. The elevator performance is evaluated according to the model, and the confidence of the evaluation conclusion is calculated.

[0011] According to the elevator traction and braking performance evaluation method based on no-load uplink experimental data proposed by the present application, the method steps are as follows:

[0012] S1: Formulate a no-load uplink experiment of an elevator car, and extract no-load uplink experimental sample data of the elevator car;

[0013] S2: Based on no-load uplink starting and braking experimental data of different elevators and different traction and braking performance states, use time domain analysis method in signal processing technology, combine the physical process of starting and braking, divide the acceleration data of the no-load uplink starting and braking of the car into several feature segments, and extract feature parameters representing the traction and braking performance from the feature segments;

[0014] S3: Obtain the elevator state diagnosis model according to the characteristic parameter statistical rule, evaluate the traction and braking performance based on the elevator state diagnosis model, and calculate the confidence degree of the evaluation result according to the confidence degree mathematical model of the established elevator performance evaluation conclusion.

[0015] Preferably, the method steps for establishing the elevator state diagnosis model in step S3 are as follows:

[0016] S31: Start the process of analyzing the car acceleration data characteristic parameters, use the time domain analysis method in signal processing technology to divide the car starting acceleration curve into three stages of acceleration increase, constant, and decrease, and extract the characteristic parameter σ for evaluating the elevator traction performance from the constant section of the car starting acceleration curve;

[0017] S32: Analyze the car acceleration data characteristic parameters in the braking process, use the time domain analysis method in signal processing technology to divide the car braking acceleration curve into three stages of acceleration increase, rapid acceleration decrease, and acceleration tending to be stable, and extract the characteristic parameters a t1 , K, Δ for evaluating the brake response performance, braking torque performance, and braking stability performance from these three stages, respectively.

[0018] S33: Based on the no-load uplink starting and braking experimental data of different elevators and different traction / braking performance states, statistically analyze the characteristic parameters σ of the traction performance, a t1 , K, and Δ of the brake response performance, braking torque performance, and braking stability performance, and obtain the elevator state diagnosis model. When the traction performance characteristic parameter σ is less than the preset threshold b1 in the elevator state diagnosis model, it is determined that the traction performance is normal, otherwise the traction performance is abnormal; when the brake response performance characteristic parameter a t1 is less than the preset threshold b2 in the elevator state diagnosis model, it is determined that the brake response is normal, otherwise the brake action is blocked; when the braking torque performance characteristic parameter K is greater than the preset threshold b3 in the elevator state diagnosis model, it is determined that the braking torque performance is normal, otherwise the braking torque performance is degraded; when the braking stability performance characteristic parameter Δ is less than the preset threshold b4 in the elevator state diagnosis model, it is determined that the braking stability performance is normal, otherwise the braking stability performance is abnormal.

[0019] S34: Determine according to step S33 to establish the elevator state diagnosis model.

[0020] Preferably, the acceleration increase section, the rapid acceleration decrease section, and the acceleration tending to be stable section of the car braking acceleration curve in step S22 are denoted as T1, T2, and T3, respectively.

[0021] T1 section: [t0-t1] time period, the brake is in the response stage at this stage, and the acceleration at t1 time is denoted as a t1, a t1 The calculation method is to extract the acceleration a t1 at t1 time point;

[0022] T2 segment: for [t1-t2] time period, the brake is in the torque establishment stage, the acceleration value at t2 time point is a t2 , the characteristic parameter K for evaluating the braking torque performance in the T2 stage of the elevator car upward braking process is

[0023]

[0024] T3 segment: for [t2-t3] time period, the braking torque is in the stable stage, the T3 segment curve is evenly divided into two segments, and the average acceleration values of the front and rear segments are respectively The characteristic parameter Δ for evaluating the braking stability performance in the T3 stage of the elevator car upward braking process is

[0025]

[0026] Preferably, the three stages of acceleration increase, constant, and decrease of the car starting acceleration curve are used to evaluate the characteristic parameter σ of the elevator traction performance, and the standard deviation σ of the constant segment of the car acceleration curve is calculated as the value of the characteristic parameter.

[0027] Preferably, the confidence R1 of the elevator traction performance evaluation conclusion in step S3 is calculated according to the following formula:

[0028]

[0029] Wherein, M1 represents the actual calculation value of the traction performance characteristic parameter σ of the elevator to be evaluated; b1 is the preset threshold value when the traction performance is normal in the elevator state diagnosis model; ε1 is the threshold value of the confidence interval of the elevator traction performance evaluation conclusion;

[0030] The confidence R2 of the elevator braking response performance evaluation conclusion in step S3 is calculated according to the following formula:

[0031]

[0032] Wherein, M2 represents the actual calculation value of the braking response performance characteristic parameter a t1 of the elevator to be evaluated; b2 is the preset threshold value when the braking response performance is normal in the elevator state diagnosis model; ε2 is the threshold value of the confidence interval of the elevator braking response performance evaluation conclusion;

[0033] The confidence R3 of the elevator braking torque performance evaluation conclusion in step S3 is calculated according to the following formula:

[0034]

[0035] Wherein, M3 represents the actual calculated value of the braking torque performance characteristic parameter K of the elevator to be evaluated; b3 is the preset threshold value when the braking torque performance is normal in the elevator state diagnosis model; and ε3 is the threshold value of the confidence interval of the evaluation conclusion of the elevator braking torque performance.

[0036] The confidence R4 of the evaluation conclusion of the elevator braking stability performance in step S3 is calculated by the following formula:

[0037]

[0038] Wherein, M4 represents the actual calculated value of the braking stability performance characteristic parameter Δ of the elevator to be evaluated; b4 is the preset threshold value when the braking stability performance is normal in the elevator state diagnosis model; and ε4 is the threshold value of the confidence interval of the evaluation conclusion of the elevator braking stability performance.

[0039] Since the braking performance includes three indexes, the confidence R of the comprehensive evaluation conclusion of the braking performance is calculated by the following formula: b The expression is as follows:

[0040]

[0041] When , it is concluded that the braking performance is normal, and the confidence R b =1; when , the corresponding index R i is taken as the output conclusion, and the confidence threshold value of the evaluation conclusion is assumed to be d. When R i >d, it is considered that the index performance is normal, and the confidence is R i ; when R i ≤d, it is considered that the index is abnormal, and the confidence is 1-R i ; when , the output conclusion is that the braking performance is abnormal, and the confidence R b =1,

[0042] When R1>d, the output conclusion is that the traction performance is normal, and the confidence is R1; when R1≤d, it is considered that the traction performance is abnormal, and the confidence is 1-R1.

[0043] Preferably, in step S1, the method steps of formulating the elevator car empty up experiment and extracting the elevator car empty up experiment sample data are as follows:

[0044] S11: Experimental preparation including elevator state inspection and adjustment, installation of acceleration data acquisition equipment;

[0045] S12: the empty car up experiment, including up starting, braking experiment, first, empty up starting experiment is carried out, make empty car from F1 floor position to start running at rated speed upward;Then, the empty up braking experiment is carried out, make empty car from the lowest position of floor to run upward to F2 floor position, disconnect the power supply of traction machine to implement emergency braking, collect acceleration data during the experiment.

[0046] Preferably, F1, F2 floor is the middle floor position of the building, which reduces the influence of different wire rope lengths on both sides of the traction wheel on the car vibration.

[0047] The beneficial effects in the application are:

[0048] (1) the elevator traction and braking performance can be evaluated simultaneously, and the evaluation efficiency is high;

[0049] (2) the evaluation method is proposed on the basis of experimental data analysis, which is closer to engineering practice than theoretical calculation, and three indexes of braking performance can be evaluated, so that the evaluation accuracy is high.

[0050] (3) the problems of inaccurate evaluation conclusion and low evaluation efficiency in the prior art are solved, which contributes to reducing and preventing safety accidents of old elevators. BRIEF DESCRIPTION OF DRAWINGS

[0051] In the drawings:

[0052] Figure 1 a flow chart of an elevator traction and braking performance evaluation method based on empty up experiment data driving is provided for the application;

[0053] Figure 2 a schematic diagram of the elevator empty up experiment is provided for the application;

[0054] Figure 3 a flow chart of the elevator traction and braking performance evaluation is provided for the application;

[0055] Figure 4 a flow chart of the evaluation conclusion confidence calculation is provided for the application;

[0056] Figure 5 a schematic diagram of the up starting acceleration curve of normal traction performance is provided for the application;

[0057] Figure 6 a schematic diagram of the up starting acceleration curve of abnormal traction performance is provided for the application;

[0058] Figure 7 a schematic diagram of the up braking acceleration curve of normal traction performance and normal braking performance is provided for the application;

[0059] Figure 8 The uplink braking acceleration curve diagram of the traction performance normal and the braking performance abnormal is provided for the application;

[0060] Figure 9 The uplink braking acceleration curve diagram of the traction performance abnormal and the braking performance normal is provided for the application;

[0061] Figure 10 The uplink braking acceleration curve diagram of the traction performance abnormal and the braking performance abnormal is provided for the application. DETAILED DESCRIPTION

[0062] I. Elevator uplink experiment preparation

[0063] 1. The experiment preparation includes elevator state inspection and adjustment, and installation of acceleration data acquisition equipment.

[0064] (1) Check and record the elevator condition. Observe or measure the brake action condition and wear degree, the wear condition of the traction sheave and the steel wire rope; measure the steel wire rope tension and adjust the tension difference to within 1%; check whether the guide shoes of the car and the counterweight are worn, and if worn, adjust or replace them to ensure smooth elevator operation.

[0065] (2) Installation of acceleration data acquisition equipment. Install the acceleration data acquisition equipment in the middle part of the car floor and reliably connect it with the car. Debug the equipment to make it enter the data acquisition state. The acceleration sensor in the data acquisition equipment used in this embodiment has a precision of 1 mg, the sampling rate is set to 1000 Hz, and the measurement range is ±8.192 g.

[0066] 2. Elevator car empty load uplink experiment

[0067] The elevator uplink experiment diagram is shown in Figure 2 , including uplink starting and braking experiment. First, perform the empty load uplink starting experiment to make the empty load car start running at the rated speed from the middle position of the building; then, perform the empty load uplink braking experiment to make the empty load car run from the lowest position of the floor to the middle position of the building, and then disconnect the traction machine power supply to implement emergency braking. Collect the acceleration data during the experiment.

[0068] 3. Elevator car empty load uplink experiment sample data

[0069] Obtain N pieces of elevator sample data (N≥100) and classify the experimental sample data according to the four different states of traction and braking described in Table 1.

[0070] Table 1 Traction and braking performance category division table

[0071]

[0072]

[0073] The acceleration curve under different states is given, the uplink starting acceleration curve of normal traction performance is shown in Figure 5 , the uplink starting acceleration curve of abnormal traction performance is shown in Figure 6 , the uplink braking acceleration curve of normal traction performance and normal braking performance is shown in Figure 7 , the uplink braking acceleration curve of normal traction performance and abnormal braking performance is shown in Figure 8 , the uplink braking acceleration curve of abnormal traction performance and normal braking performance is shown in Figure 9 , and the uplink braking acceleration curve of abnormal traction performance and abnormal braking performance is shown in Figure 10 .

[0074] II. Analysis of uplink acceleration data characteristics of elevator car

[0075] Using the time domain analysis method in signal processing technology, combined with the physical process of starting and braking, the acceleration data of the car empty uplink starting and braking is divided into several characteristic segments, and the characteristic parameters representing the traction and braking performance are extracted from the characteristic segments. Based on a large number of elevator sample data, the variation law of the characteristic parameters under different states is analyzed, and the elevator state diagnosis model is established.

[0076] 1. Analysis of car acceleration data characteristic parameters in starting process

[0077] As shown in Figure 5 , taking the uplink starting acceleration curve of normal traction performance as an example, the car acceleration data characteristics in the starting process are analyzed. Combined with the physical process of elevator starting, under the condition of elevator empty uplink starting, the car acceleration curve can be divided into three stages: acceleration increase, constant, and decrease.

[0078] Because the smoothness of the constant segment curve of the acceleration is quite different under different traction states. Therefore, in the acceleration segment of the elevator uplink, the standard deviation σ of the constant segment of the car acceleration curve is used as the traction performance characteristic parameter for the diagnosis of the traction performance of the elevator.

[0079] 2. Analysis of car acceleration data characteristic parameters in braking process

[0080] As shown in Figure 7 , taking the uplink starting acceleration curve of normal traction performance as an example, the car acceleration data characteristics in the starting process are analyzed. Combined with the physical process of elevator starting, under the condition of elevator empty uplink starting, the car acceleration curve can be divided into three stages: acceleration increase, constant, and decrease.The characteristics of the car acceleration data in the braking process are analyzed by taking the up-line braking acceleration curve with normal traction performance and normal braking performance as an example. In the case of the elevator empty up-line braking, the car acceleration curve can be divided into acceleration increasing, acceleration rapidly decreasing, and acceleration tending to be stable segments, denoted as T1, T2, and T3 segments, respectively. This is mainly related to the various action stages of the brake closing. The brake closing is divided into a response stage, a torque establishing stage, and a braking torque stable stage.

[0081] (1) T1 segment: [t0-t1] time period. In this stage, the brake is in the response stage. Assume that the acceleration at t1 is denoted as a t1 . The brake action state directly affects the size of a t1 . Therefore, in the T1 stage of the elevator up-line braking process, the acceleration a t1 at t1 is used as the brake response performance characteristic parameter for the diagnosis of the brake response performance.

[0082] (2) T2 segment: [t1-t2] time period. In this stage, the brake is in the torque establishing stage. Assume that the acceleration value at t2 is denoted as a t2 , and the car acceleration change rate K in the T2 segment is

[0083]

[0084] When the braking torque decays, the parameter K changes significantly. Therefore, in the T2 segment of the elevator up-line braking process, the car acceleration change rate K is used as the braking torque performance characteristic parameter for the evaluation of the braking torque performance.

[0085] (3) T3 segment: [t2-t3] time period. In this stage, the braking torque is in the stable stage. The T3 segment curve is evenly divided into two segments, and the average acceleration values of the front and rear segments are denoted as a , respectively. The T3 segment car acceleration mean difference degree Δ is

[0086]

[0087] The parameter Δ differs significantly under different braking stability states. Therefore, in the T3 segment of the elevator up-line braking process, the T3 segment car acceleration mean difference degree Δ is used as the braking stability performance characteristic parameter for the diagnosis of the braking stability performance.

[0088] III. Elevator performance evaluation

[0089] According to the elevator state diagnosis model obtained based on the characteristic parameter statistical law of the no-load up-line starting and braking experimental data of different elevators, different traction / braking performance states, and the characteristic parameters of the no-load up-line starting and braking acceleration data of the elevator car to be diagnosed, the traction and braking performance of the elevator is evaluated, and the confidence degree of the evaluation result is calculated according to the established elevator performance evaluation confidence function.

[0090] 1. The elevator state diagnosis model process is as follows:

[0091] Based on the elevator sample data, the variation law of the characteristic parameters in different states is analyzed, and the threshold values of the characteristic parameters σ, a t1 , K and Δ corresponding to the normal performance in different traction and braking states are obtained. When the characteristic value σ of the traction performance is less than 0.05, it indicates that the traction performance is good, otherwise the traction performance is abnormal; the characteristic value a t1 < 3.0 m / s 2 indicates that the brake response is normal, otherwise the brake action is blocked; the characteristic value K of the braking torque is greater than 60, which indicates that the braking torque is normal, otherwise the braking torque is degraded; and the characteristic value Δ of the braking stability performance is less than 0.5, which is the judgment interval of the braking stability performance. Accordingly, the elevator traction and braking state diagnosis model is established as shown in Table 2, and the * in Table 2 indicates that the item is not applicable.

[0092] Table 2 Elevator traction and braking state diagnosis model

[0093]

[0094] 2. The elevator traction and braking state diagnosis process is as follows:

[0095] The traction performance is evaluated by the characteristic parameter σ, and when σ is less than 0.05, it indicates that the traction performance is normal, otherwise the traction performance is abnormal; the characteristic parameters of the braking performance include the characteristic value a t1 of the braking response performance, the characteristic value K of the braking torque, and the characteristic value Δ of the braking stability performance, so the three indicators need to be diagnosed in sequence. The braking performance is only normal when a t1 < 3.0 m / s 2 , K > 60, and Δ < 0.5; if any indicator does not meet the condition, the braking performance is abnormal. The elevator traction and braking performance evaluation process is shown in Table 3. Figure 3

[0096] 3. The confidence degree calculation method of the elevator performance evaluation conclusion is as follows:

[0097] Assume that the diagnosis model, i.e. the normal and abnormal performance intervals in Table 2, are (a, b) and [b, c), respectively, and b is the dividing value of the two. Assume that the threshold value of the confidence interval is ε, and the interval is segmented into (a, b-ε), (b-ε​i The confidence degree of the evaluation conclusion is calculated as follows:

[0098]

[0099] wherein M i represents the characteristic value of the elevator to be evaluated, i.e. the parameters σ, a t1 , K, Δ i are the threshold values of the characteristic parameters σ, a t1 , K, Δ in the diagnostic model when the performance is normal; and ε i is the threshold value of the confidence interval of each evaluation conclusion.

[0100] According to the above formula, when M i is distributed in the performance normal interval (a, b-ε i ), the confidence degree that the performance of the elevator is normal is 1, and the evaluation conclusion is completely reliable at this time; when M i is located in the range of (b-ε i , b+ε i ), the corresponding confidence degree of the evaluation conclusion will be given according to the distance between M i and (b i -ε i ), and the confidence degree ranges from 0 to 1; when M i is distributed in the performance abnormal interval (b+ε i , c), the confidence degree that the performance of the elevator is normal is 0, and the performance normal conclusion is not reliable.

[0101] In the above formula, b i is the threshold value of the characteristic parameters σ, a t1 , K, Δ in the diagnostic model when the performance is normal, which can be obtained from the diagnostic model, i.e. Table 2; and for the parameter ε i , it is assigned based on the statistical results of the elevator sample data. The b i and ε i corresponding to each characteristic parameter are shown in Table 3.

[0102] Table 3 b i and ε i value table

[0103]

[0104] When the confidence degree is lower than 50%, the characteristic parameter value is distributed in the performance abnormal interval, so the evaluation result with a confidence degree lower than 50% is considered to be performance abnormal, and the confidence degree determination criteria of the evaluation conclusion are shown in Table 4.

[0105] Table 4 Confidence degree determination criteria table of evaluation conclusion

[0106]

[0107] 4. The confidence evaluation process of the elevator performance evaluation conclusion is as follows:

[0108] When the confidence R1 of the traction performance evaluation conclusion is greater than 50%, it is considered that the traction performance is normal, and the confidence is R1; when R1 is less than or equal to 50%, it is considered that the traction performance is abnormal, and the confidence is 1-R1.

[0109] The confidence of the braking performance comprehensive evaluation conclusion is calculated by using the minimum evaluation principle. The braking performance includes three indexes: the brake response, the braking torque, and the braking stability. The minimum value of the confidence of the three indexes is taken as the confidence of the braking performance evaluation conclusion. The confidence R of the braking performance comprehensive evaluation conclusion is calculated as follows: b The expression is as shown in the following formula.

[0110]

[0111] Wherein, R2, R3, R4 are the confidence of the evaluation conclusion of the braking response performance, the braking torque performance, and the braking stability performance, respectively.

[0112] When the product of the confidences of the three indexes is 1, R b =1, it is concluded that the braking performance is normal, and the confidence is the highest; when the product of the confidences of the three indexes is (0, 1), the confidence of the normal braking performance starts to decrease, R b The value of R i is selected as the minimum value of the three confidences R i , and the corresponding index is taken as the output conclusion. When R i >50%, it is considered that the index performance is normal, and the confidence is R i ; when R i ≤50%, it is considered that the index is abnormal, and the confidence is 1-R i ; when the confidence of any index is 0, R b =0, indicating that the confidence of the normal braking performance is 0, and the braking has risks, and a comprehensive check should be performed to reduce the risks. Therefore, according to the confidence, the health status of the elevator can be mastered, and the evaluation conclusion is more reliable. The confidence calculation process of the elevator performance evaluation conclusion is as shown in Figure 4 .

Claims

1. An elevator traction and braking performance evaluation method based on empty uplink experimental data driving, characterized in that, The method steps are as follows: S1: Formulate the elevator car empty load uplink experiment, collect the elevator car empty load uplink experiment sample data; S2: Based on the empty load uplink starting and braking acceleration data of different elevators and different traction / braking performance states, use the time domain analysis method in signal processing technology, combine the starting and braking physical processes, divide the acceleration data of the car empty load uplink starting and braking into several characteristic segments, and extract the characteristic parameters representing the traction and braking performance from the characteristic segments; S3: According to the elevator state diagnosis model obtained from the statistical law of the characteristic parameters, evaluate the traction and braking performance based on the elevator state diagnosis model, and calculate the evaluation result confidence degree according to the confidence degree mathematical model of the established elevator performance evaluation conclusion; The method steps for establishing the elevator state diagnosis model in step S3 are as follows: S31: Analysis of characteristic parameters of car acceleration data in the starting process, using the time domain analysis method in signal processing technology, the car starting acceleration curve is divided into three stages of acceleration increase, constant and decrease, and the characteristic parameter σ for evaluating the elevator traction performance is extracted from the constant segment of the car starting acceleration curve; S32: Braking process car acceleration data characteristic parameter analysis, using time domain analysis method in signal processing technology, the car braking acceleration curve is divided into acceleration increasing section, acceleration rapid reduction section, acceleration tends to stable section, respectively from the three stages to extract the characteristic parameters of evaluating the brake response performance, braking torque performance, braking stability performance: , K, ; S33: Characteristic parameters of traction performance σ and brake response performance based on no-load upward start and braking test data of different elevators and traction / braking performance states. Braking torque performance characteristic parameter K, braking stability performance characteristic parameter By statistically analyzing the patterns, an elevator condition diagnosis model is obtained. When the elevator traction performance characteristic parameter σ is less than the preset threshold in the elevator condition diagnosis model... When the braking response performance characteristic parameters are normal, the traction performance is judged to be normal; otherwise, the traction performance is abnormal. Less than the preset threshold in the elevator condition diagnosis model If the brake response is normal, it is determined that the brake action is blocked; otherwise, the brake action is blocked. When the braking torque performance characteristic parameter K is greater than the preset threshold in the elevator state diagnosis model... When the braking torque performance is normal, it is judged that the braking torque performance is normal; otherwise, the braking torque performance deteriorates. When the characteristic parameters of braking stability performance are... Less than the preset threshold in the elevator condition diagnosis model If the braking stability is normal, then the braking stability is normal; otherwise, the braking stability is abnormal. S34: According to the determination in step S33, establish the elevator state diagnosis model; The confidence of the conclusion of the elevator traction performance evaluation in step S3 The calculation formula is: wherein represents the actual calculated value of the traction performance characteristic parameter σ of the elevator to be evaluated; is a preset threshold value in the elevator state diagnosis model when the traction performance is normal; is a threshold value of the confidence interval of the evaluation conclusion of the traction performance of the elevator; The confidence of the conclusion of the elevator brake response performance evaluation in step S3 The calculation formula is: wherein represents the actual calculated value of the braking response performance characteristic parameter to be evaluated for the elevator; is a preset threshold value when the braking response performance is normal in the elevator state diagnosis model; is a threshold value of the confidence interval of the braking response performance evaluation conclusion for the elevator.​ The confidence of the conclusion of the elevator braking torque performance evaluation in step S3 The calculation formula is: wherein, represents the actual calculated value of the braking torque performance characteristic parameter K of the elevator to be evaluated; is a preset threshold value when the braking torque performance is normal in the elevator state diagnosis model; is a threshold value of the confidence interval of the evaluation conclusion of the braking torque performance of the elevator. The confidence of the evaluation conclusion of the elevator brake stability performance in step S3 The calculation formula is: wherein, represents the actual calculated value of the braking stability performance characteristic parameter to be evaluated for the elevator; is the preset threshold value when the braking stability performance is normal in the elevator state diagnosis model; is the threshold value of the confidence interval of the evaluation conclusion of the braking stability performance of the elevator.​ Since the braking performance contains three indexes, the confidence of the braking performance comprehensive evaluation conclusion The expression is as follows: when At that time, the conclusion was reached: the braking performance was normal, and its confidence level was [not specified]. =1; when At that time, with The corresponding indicators are used as output conclusions. Assuming the confidence threshold for the evaluation conclusion is d, when... >d indicates that the indicator's performance is normal, and its confidence level is [value missing]. ;when If the value is ≤d, the indicator is considered abnormal, with a confidence level of 1- ;when At that time, the output conclusion is: abnormal braking performance, with a confidence level of [insert confidence level here]. =1, When d, output conclusion: traction performance is normal, confidence is ; when d, traction performance is considered abnormal, confidence is 1- .

2. The elevator traction and braking performance evaluation method based on no-load uplink experimental data driving according to claim 1, characterized in that: In step S32, the acceleration increase segment, the acceleration rapid decrease segment and the acceleration tending to stable segment of the car acceleration curve are respectively denoted as T1, T2 and T3; T1 segment: is [ - ] time period, the stage brake is in response stage, the acceleration at t1 time is recorded as , in the T1 stage of the elevator car up braking process, the characteristic parameter for evaluating the brake response performance, The calculation method is to extract The acceleration at t1 time Value; T2 segment: is the [time period, during which the brake is in the force moment build-up phase, - ] time period, during which the brake is in the force moment build-up phase, the acceleration value at the moment In the T2 phase of the upward braking process of the elevator car, the characteristic parameter K for evaluating the braking force moment performance is T3 segment: is [ - ] time period, the braking torque is in the stable stage, the T3 segment curve is divided into two segments, and the average acceleration of the front and rear segments is assumed to be 、 In the T3 stage of the uplink braking process of the elevator car, the characteristic parameter for evaluating the braking stability performance is ​ 。 3. The method of claim 1, wherein the method is characterized by: The three stages of acceleration increase, constant and decrease of the car starting acceleration curve are used to evaluate the characteristic parameter σ of the elevator traction performance, which is the standard deviation σ of the constant segment of the car acceleration curve.

4. The elevator traction and braking performance evaluation method based on no-load uplink experimental data driving according to claim 1, characterized in that, The method steps for formulating the elevator car empty load uplink experiment and extracting the elevator car empty load uplink experiment sample data in step S1 are as follows: S11: Experimental preparation including elevator state inspection and adjustment, installation of acceleration data acquisition equipment; S12: Elevator car empty load uplink experiment, including uplink starting and braking experiment, first perform empty load uplink starting experiment, make the empty load car start running at rated speed from the position of F1 floor; Then, perform the empty load uplink braking experiment, make the empty load car run upward from the lowest position of the floor to the F2 floor position, then disconnect the traction machine power supply to implement emergency braking, and collect the acceleration data during the experiment.

5. The elevator traction and braking performance evaluation method based on no-load up-line experimental data driving according to claim 4, characterized in that, F1 and F2 floors are the middle floor positions of the building.

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