Method for constructing elevator component performance model

Abstract

The present invention discloses a method for constructing a performance model of elevator components, including: determining performance characterization indicators of elevator components, calculation methods of the performance characterization indicators, and variables required for calculating the performance characterization indicators; determining all influencing factors related to the performance of elevator components; obtaining the values of the influencing factors and the values of the variables when the elevator components are at the values of the influencing factors; calculating the values of the characterization indicators by using the values of the variables; according to the corresponding relationship between the values of the variables and the values of the influencing factors, using the values of the characterization indicators and the values of the influencing factors corresponding to the corresponding values of the variables to form model data pairs related to the performance of elevator components; and constructing a performance model of elevator components by using the model data pairs. The present invention constructs a relationship model between performance characterization indicators and influencing factors by using the real data (values of influencing factors, values of variables) of elevator operation, so as to accurately grasp the actual performance of elevator components and provide a reference for the design, operation quality and maintenance of elevators.

Description

[0001] This is a divisional application of a patent application with an application date of September 8, 2020, an application number of 202010932878.4, and a title of "Method for Constructing Elevator Component Performance Model". Technical Field

[0002] The present invention relates to the field of elevators, and specifically belongs to a method for constructing an elevator component performance model, which is used to describe the impact on the performance of an elevator component after the influencing factors related to the performance of the elevator component act on the elevator component. Among them, the elevator component can be a single elevator part that can independently achieve a certain function, or a component that can achieve a certain function and is composed of multiple elevator parts combined. Background Art

[0003] There are many components in an elevator, and each elevator component has a certain function. The performance of the elevator component will directly affect the overall performance of the elevator. Therefore, in order to accurately evaluate the overall performance of an elevator in use, it is necessary to timely and accurately master the performance of the elevator component.

[0004] In addition, for elevator components, the supplier generally provides a minimum guarantee. For example, for energy storage components, the supplier will promise that its capacity will not be lower than n1% of the rated capacity after L charge-discharge cycles, and its capacity will not be lower than n2% of the rated capacity after M years of use. However, during actual use, the capacity of these components when the number of charge-discharge cycles reaches L and the capacity when the service life reaches M cannot be known. It is necessary to figure out whether the actual performance (such as the capacity of the energy storage component) of these components reaches the supplier's promised standard or exceeds the promised standard, and the actual performance before not reaching the promised standard, so as to accurately grasp the quality of the elevator component, and thus provide a reference for elevator design or the evaluation of the operating quality and preventive maintenance of in-use elevators.

[0005] Therefore, how to model and evaluate the performance of elevator components has become a technical problem to be solved. Summary of the Invention

[0006] The technical problem to be solved by the present invention is to provide a method for constructing an elevator component performance model, which can solve the problem of being unable to evaluate the actual performance of elevator components during elevator use.

[0007] To solve the above problems, the method for constructing an elevator component performance model provided by the present invention, where the elevator component is a single part that can independently achieve a certain function or a component that can achieve a certain function and is composed of multiple parts combined, and the method includes the following steps:

[0008] Step S1, determine the performance characterization indexes of the elevator component, the calculation methods of the performance characterization indexes, and the variables required for calculating the performance characterization indexes;

[0009] Step S2, determine all influencing factors related to the performance of the elevator component;

[0010] Step S3, obtain the values of the influencing factors according to the influencing factors, and obtain the values of the variables according to the variables for calculating the performance characterization indexes when the elevator component is in the states of the values of the influencing factors. Any value of the variables has a specific and unique value of the influencing factor corresponding to it;

[0011] Step S4, according to the calculation method of the performance characterization indexes, calculate the values of the performance characterization indexes by using the values of the variables, and output them as the characterization index values;

[0012] Step S5, according to the corresponding relationship between the values of the variables and the values of the influencing factors, use the characterization index values output in Step S4 and the values of the influencing factors corresponding to the values of the variables to form model data pairs related to the performance of the elevator component;

[0013] Step S6, use the model data pairs to construct an elevator component performance model.

[0014] Wherein, in Step S3, obtain the values of the variables and the values of the influencing factors from the database storing elevator-related data, and the elevator-related data includes product data of elevator components, working data of elevator components, and environmental data.

[0015] Wherein, in Step S3, use a data acquisition device to collect data on the elevator component at the elevator site to obtain the values of the variables and the values of the influencing factors.

[0016] A further improvement is that between Step S2 and Step S3, it further includes:

[0017] Step A1, determine the value-taking conditions of the influencing factors according to the working characteristics of the elevator component and / or elevator working conditions.

[0018] Wherein, the value-taking conditions include the value coverage range of the influencing factors.

[0019] A further improvement is that the value-taking conditions further include that the maximum interval of the distribution of the same influencing factor within its value coverage range is less than the first threshold α.

[0020] A further improvement is that between Step S4 and Step S5, it further includes:

[0021] Step B1, sort multiple said characterization index values;

[0022] Step B2: Select two adjacent characterization index values from the sorting result in sequence from the front to the back, where the previous characterization index value has been selected and the latter characterization index value has not been selected yet, and calculate the difference between the selected characterization index values.

[0023] Step B3: Determine whether the difference is greater than the second threshold β. If it is greater, proceed to Step B4; otherwise, proceed to Step B6.

[0024] Step B4: Obtain a new variable value and the corresponding influencing factor value corresponding to the new variable value, where the new variable value is between the variable values used to calculate the two characterization index values corresponding to the difference.

[0025] Step B5: Calculate the value of the performance characterization index using the new variable value, and return to Step B1.

[0026] Step B6: Determine whether there is an unselected characterization index value. If there is, then return to Step B2; otherwise, proceed to Step S5.

[0027] A further improvement is that between Step S2 and Step S3, it also includes:

[0028] Step A2: Determine the value conditions of the performance characterization index according to the working characteristics of the elevator component and / or the elevator working conditions.

[0029] Wherein, the value conditions include the value coverage range of the variable.

[0030] A further improvement is that between Step S4 and Step S5, it also includes:

[0031] Step B1: Sort the multiple characterization index values.

[0032] Step B2: Select two adjacent characterization index values from the sorting result in sequence from the front to the back, where the previous characterization index value has been selected and the latter characterization index value has not been selected yet, and calculate the difference between the selected characterization index values.

[0033] Step B3: Determine whether the difference is greater than the second threshold β. If it is greater, proceed to Step B4; otherwise, proceed to Step B6.

[0034] Step B4: Obtain a new variable value and the corresponding influencing factor value corresponding to the new variable value, where the new variable value is between the variable values used to calculate the two characterization index values corresponding to the difference.

[0035] Step B5: Calculate the value of the performance characterization index using the new variable value, and return to Step B1.

[0036] Step B6: Determine whether there are unselected characterization index values. If so, return to Step B2; otherwise, proceed to Step S5.

[0037] A further improvement is that Step S3 includes the following sub-steps:

[0038] Step S31: Determine the target elevator on which the elevator component is installed.

[0039] Step S32: Obtain some or all of the influencing factor values and their corresponding variable values from some or all of the target elevators.

[0040] Step S33: Determine whether the influencing factor value meets the value condition. If it does, proceed to Step S4; otherwise, proceed to Step S34.

[0041] Step S34: Determine whether there are unobtained influencing factor values and their corresponding variable values in the target elevator. If so, obtain the unobtained influencing factor values and their corresponding variable values in the target elevator, and return to Step S33; otherwise, proceed to Step S35.

[0042] Step S35: Determine whether the target elevator can generate an influencing factor value that meets the value condition. If it can, proceed to Step S36; otherwise, output an informing message and proceed to Step S4.

[0043] Step S36: Determine whether the elevator control system can be used to make the elevator generate an influencing factor value that meets the value condition. If it can, adopt an active acquisition method, output a corresponding control signal to the elevator control system, and obtain the influencing factor value that meets the value condition and its corresponding variable value, then proceed to Step S4; otherwise, adopt a passive acquisition method, wait to obtain the influencing factor value and its corresponding variable value when the elevator itself generates an influencing factor value that meets the value condition, and then proceed to Step S4.

[0044] Among them, in Step S31, the target elevator is determined according to the procurement data of the elevator component, the manufacturing data of the elevator, and the sales data of the elevator.

[0045] A further improvement is that in Step A1, according to the elevator working conditions specified in the technical standards and / or design specifications of the elevator product, first determine the working condition requirements that the elevator component should meet by using the relationship between the elevator component and the elevator, and then determine the value condition of the influencing factor according to the relationship between the elevator component and the influencing factor and the working condition requirements.

[0046] A further improvement is that after Step S6, it further includes:

[0047] Step S7, verify the rationality of the obtained values of the influencing factors by using the elevator component performance model.

[0048] Among them, the specific steps of step S7 are as follows:

[0049] Step S71, take the derivative of the elevator component performance model;

[0050] Step S72, use the derivative of the elevator component performance model to calculate the derivative value corresponding to the obtained value of the influencing factor;

[0051] Step S73, calculate the difference between the derivative values corresponding to adjacent values of the influencing factor. If the difference is less than the third threshold γ, end. Otherwise, obtain a new value of the influencing factor and its corresponding variable value. The new value of the influencing factor is between the values of the influencing factors used to calculate the two derivative values whose difference is not less than the third threshold γ, and return to step S4.

[0052] Among them, further, the elevator component performance model is a function with the influencing factors of the elevator component as the input and the performance characterization index of the elevator component as the output. The function is used to represent the quantitative relationship between the influencing factors of the elevator component and the performance of the elevator component.

[0053] A further improvement is that between step S4 and step S5, it also includes:

[0054] Step A3, verify the rationality of the influencing factor by using the value of the influencing factor and the value of the characterization index.

[0055] Among them, further, in step A3, verify whether there are redundant influencing factors by using the value of the influencing factor and the value of the characterization index.

[0056] A further improvement is that the steps to verify whether there are redundant influencing factors are specifically as follows:

[0057] Step C1, arbitrarily select one from all the influencing factors related to the performance of the elevator component;

[0058] Step C2, under the condition that the unselected influencing factors all adopt fixed values but the selected influencing factor adopts multiple different values, obtain the values of the characterization index corresponding to different values of the influencing factor;

[0059] Step C3, sort the values of the influencing factor according to the magnitude of the value of the selected influencing factor, and output the sorting result of the values of the influencing factor;

[0060] Step C4: Sort the characterization index values corresponding to the influence factor values according to the sorting result of the influence factor values, and output the sorting result of the characterization index values.

[0061] Step C5: Calculate the difference between adjacent characterization index values according to the sorting result of the characterization index values. If at least one of the differences is greater than the fourth threshold η, then determine that the selected influence factor is necessary, retain the influence factor; otherwise, determine that the selected influence factor is redundant, delete the influence factor, and update all influence factors related to the performance of the elevator component.

[0062] Step C6: Determine whether there are unverified influence factors among all the updated influence factors. If so, select any one of the unverified influence factors from all the updated influence factors, and return to Step C2; otherwise, update the influence factor values according to the finally verified influence factors, and enter Step S5.

[0063] Furthermore, in Step A3, use the influence factor values and the characterization index values to verify whether there are missing influence factors.

[0064] A further improvement is that the steps to verify whether there are missing influence factors are as follows:

[0065] Step D1: Under the condition that all influence factors related to the performance of the elevator component adopt fixed values, collect multiple groups of variable values.

[0066] Step D2: Calculate the characterization index values corresponding to the collected variable values respectively.

[0067] Step D3: Calculate the difference between the characterization index values. If the difference is less than the fifth threshold θ, then determine that there are no missing influence factors, and enter Step S5; otherwise, compare and analyze the differences between the elevator component itself or its external environment when collecting different groups of variable values, and use the differences as new influence factors, update all influence factors related to the performance of the elevator component, and return to Step S3.

[0068] Compared with the prior art, the present invention focuses on the actual performance of elevator components during the elevator usage period. According to the one-to-one correspondence relationship between the performance characterization indexes and corresponding variables related to the performance of elevator components and the influence factors affecting the performance of elevator components, a relationship model representing the relationship between the performance characterization indexes of elevator components and the influence factors of elevator component performance is constructed by using the real data (influence factor values, variable values) of elevator operation. Thus, the actual performance of elevator components can be accurately grasped by using this model, providing valuable references for elevator design, elevator operation quality, and elevator maintenance. Description of the Drawings

[0069] Figure 1 Flow chart of the first embodiment of the method for constructing the elevator component performance model of the present invention;

[0070] Figure 2 Flow chart of the second embodiment of the method for constructing the elevator component performance model of the present invention;

[0071] Figure 3 Flow chart of the third embodiment of the method for constructing the elevator component performance model of the present invention;

[0072] Figure 4 Flow chart of the fourth embodiment of the method for constructing the elevator component performance model of the present invention;

[0073] Figure 5 Flow chart of the fifth embodiment of the method for constructing the elevator component performance model of the present invention;

[0074] Figure 6 Flow chart of step S3 in the sixth embodiment of the method for constructing the elevator component performance model of the present invention;

[0075] Figure 7 Flow chart of the seventh embodiment of the method for constructing the elevator component performance model of the present invention;

[0076] Figure 8 Specific flow chart of step S7 in the seventh embodiment of the method for constructing the elevator component performance model of the present invention;

[0077] Figure 9 Flow chart of the eighth embodiment of the method for constructing the elevator component performance model of the present invention;

[0078] Figure 10 Specific flow chart of case 1 of the rationality verification in the eighth embodiment of the method for constructing the elevator component performance model of the present invention;

[0079] Figure 11 Specific flow chart of case 2 of the rationality verification in the eighth embodiment of the method for constructing the elevator component performance model of the present invention. Detailed implementation manners

[0080] The following describes the embodiments of the present invention with reference to the accompanying drawings through specific specific examples. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Specific details are set forth in the following description to facilitate a thorough understanding of the present invention. However, the present invention can also be implemented or applied through other different specific examples, and various details in this specification can also be based on different viewpoints and applications. Those skilled in the art can make various similar generalizations and substitutions without departing from the spirit of the present invention.

[0081] It should be noted that in the present invention, an elevator component can be a single part (such as a capacitor) that can independently implement a specific function, or a component (such as a traction machine) that can implement a specific function and is composed of multiple parts. There are numerous elevator components required in an elevator, and for some of them, some or all of their performances cannot be directly measured or detected. Therefore, a reasonable, reliable, and easy-to-implement method needs to be found to characterize and evaluate their performances. For example, for the fatigue resistance performance of an elevator traction rope, starting from the working conditions of the steel wire rope, it is mainly considered to characterize it from aspects such as the internal fatigue caused by the bending of the steel wire rope and the oxidation of the steel wire rope over time. However, both the above-mentioned internal fatigue and oxidation conditions are not convenient for direct measurement, and it may be necessary to conduct necessary targeted physical and chemical property test analyses on the steel wire rope. However, during the elevator usage cycle, the above tests cannot be carried out on the elevator traction rope. Therefore, an indirect measurement method needs to be adopted, which is the starting point for constructing the elevator component performance model in the present invention.

[0082] The following will describe in detail the implementation manner of the present invention according to specific embodiments.

[0083] Embodiment 1

[0084] In this embodiment, the method for constructing an elevator component performance model is as Figure 1 shown, and includes the following steps:

[0085] Step S1, determine the performance characterization index of the elevator component, the calculation method of the performance characterization index, and the variables required for calculating the performance characterization index.

[0086] The performance of an elevator component is usually related to the function implemented by the elevator component in the elevator, and can be determined based on aspects such as the product parameters of the part and the design requirements of the elevator. For example, as a super capacitor serving as an energy storage element, its performance is mainly reflected in multiple aspects such as capacitance, equivalent resistance, maximum charge and discharge current, and power.

[0087] For the calculation of the performance characterization index of an elevator component, generally, it can be carried out from the following aspects:

[0088] First, according to the function implemented by the elevator component, starting from the application scenario of the elevator component, obtain and utilize the input and output signals of the elevator component in the scenario where the elevator component is located to calculate the measurement value of the function implemented by the elevator component, and use this measurement value as the performance characterization index of the elevator component. This belongs to a data-based modeling method;

[0089] Second, starting from the working principle inside the elevator component, using the physical and chemical properties of the elevator component, establish a mathematical relationship (and mathematical model) between the input and output of the elevator component (this output is the performance characterization index of the elevator component), and then the performance characterization index of the elevator component can be calculated using the input of the elevator component and this mathematical model. This belongs to the modeling method based on principles;

[0090] Third, it is determined according to the technical indicators of the elevator component, the design parameters provided by the supplier, common knowledge, empirical formulas, etc.

[0091] Step S2: Determine all influencing factors related to the performance of the elevator component.

[0092] Regarding the influencing factors related to the performance of the elevator component, they can be determined according to the usage instructions of the elevator component (such as working conditions), usage environment, usage method in the elevator, the self - working characteristics of the elevator component, and the relevant materials provided by the manufacturer, etc. For example, working temperature, working humidity, working time, number of cycles, working load (whether it is in the optimal working condition or the distance from the optimal working condition), etc.

[0093] Step S3: Obtain the values of the influencing factors according to the influencing factors, and obtain the values of the variables according to the variables for calculating the performance characterization index when the elevator component is in the state of each value of the influencing factors. Any value of the variable has a specific and unique value of the influencing factor corresponding to it.

[0094] Among them, usually, the number of variables required for calculating the performance characterization index is greater than 1 (for example, variable A, variable B, variable C), and the number of influencing factors related to the performance of the elevator component is also greater than 1 (for example, influencing factor D, influencing factor E, influencing factor F, influencing factor G). Therefore, each obtained value of the influencing factor and each value of the variable are a data vector. Among different values of the influencing factors, some influencing factors can be the same and the rest can be different, or all the values of the influencing factors can be different. For example, variable value 1 = [the first value a1 of variable A, the first value b1 of variable B, the first value c1 of variable C], variable value 2 = [the second value a2 of variable A, the second value b2 of variable B, the second value c2 of variable C], influencing factor value 1 = [the first value d1 of influencing factor D, the first value e1 of influencing factor E, the first value f1 of influencing factor F, the first value g1 of influencing factor G], influencing factor value 2 = [the second value d2 of influencing factor D, the second value e2 of influencing factor E, the second value f2 of influencing factor F, the second value g2 of influencing factor G], influencing factor value 3 = [the second value d1 of influencing factor D, the second value e2 of influencing factor E, the second value f3 of influencing factor F, the second value g3 of influencing factor G], and all the values of the influencing factors and the values of the variables respectively form data matrices. For example, the finally obtained data values of all variables are Matrix1, and the data values of all influencing factors are Matrix2. Each row in Matrix1 is a variable value vector, and each row in Matrix2 is an influencing factor value vector. The variable value vector of any row in Matrix1 corresponds to the influencing factor value of the same row in Matrix2.

[0095]

[0096] Specifically, obtain the variable values and the influencing factor values from a database storing elevator-related data (the memory or the terminal server in the elevator control system), and the elevator-related data includes product data of elevator components, working data of elevator components, and environmental data.

[0097] In addition, a data acquisition device (such as a temperature sensor, a humidity sensor, a timer, a counter, an encoder, etc.) can also be used to collect data from the elevator components on-site to obtain the variable values and the influencing factor values.

[0098] Step S4, according to the calculation method of the performance characterization index, use the variable values to calculate the value of the performance characterization index, and output it as the characterization index value.

[0099] Step S5: According to the correspondence between the variable values and the influencing factor values, use the characterization index values output in Step S4 and the influencing factor values corresponding to the corresponding variable values to form a pair of model data related to the performance of the elevator component.

[0100] Step S6: Use the pair of model data to construct an elevator component performance model.

[0101] Specifically, all pairs of model data related to a certain performance of the elevator component can be processed based on modeling methods such as data fitting, regression analysis, machine learning, neural network, etc., so as to obtain the model of this performance.

[0102] The elevator component performance model is a function with the influencing factors of the elevator component as the input and the performance characterization index of the elevator component as the output (multiple inputs and single output), and this function is used to represent the quantitative relationship between the influencing factors of the elevator component and the performance of the elevator component.

[0103] To better illustrate the above elevator component performance model construction method, this embodiment will further expand with the example of the super capacitor used for energy storage in the elevator.

[0104] As is well known, the performance of the super capacitor is mainly reflected in aspects such as the capacitance, equivalent internal resistance, maximum charge and discharge current, and power of the super capacitor. The following only illustrates the performance of the capacitance of the super capacitor. For the characteristic of the capacitance of the super capacitor, those skilled in the art can easily think of using its capacitance value (unit: farad) as the performance characterization index.

[0105] To calculate the capacitance value of the super capacitor, according to the working principle of the super capacitor, after appropriate derivation and arrangement, the following calculation formula can be obtained:

[0106] ΔE = C(U2 2 -U1 2 ) / 2

[0107] C = 2ΔE / (U2 2 -U1 2 )

[0108] Among them, ΔE is the change in the electric potential energy of the super capacitor, C is the capacitance value of the super capacitor, and U1 and U2 are the terminal voltages before and after the change in the electric potential energy of the super capacitor.

[0109] ΔE can be obtained by calculation using the output current and terminal voltage of the supercapacitor (assuming that the obtained current value is the curve of the current varying with time, and ΔE is obtained by integrating the current during the charge and discharge time), and both the output current and terminal voltage of the supercapacitor can be directly detected. Therefore, the variables required to calculate the capacitance value of the supercapacitor are the output current and terminal voltage of the supercapacitor.

[0110] For supercapacitors, the main influencing factors affecting their capacitance performance include operating temperature, operating duration, number of cycles, etc. And the corresponding influencing factor values (real data) of these influencing factors can all be obtained through data acquisition devices (such as temperature sensors, timers, counters, etc.).

[0111] Use the data acquisition device to obtain different influencing factor values of the supercapacitor (equivalent to different operating conditions), and for the output current and terminal voltage corresponding to the supercapacitor when operating under each influencing factor value, calculate the capacitance value using each data vector composed of the output current and terminal voltage, and form a model data pair by combining each capacitance value with the influencing factor value when obtaining the corresponding output current and terminal voltage. Use the model data pairs composed of the capacitance value and the influencing factor value to construct the elevator component performance model.

[0112] For supercapacitors, at different ambient temperatures, even if the actual usage time of the supercapacitor is the same, its true capacity will be different. Thus, it can be seen that the ambient temperature is an influencing factor of the supercapacitor, and at the same time, the usage time is also an influencing factor of the supercapacitor. Therefore, the ambient temperature (Temp, unit: °C) and the usage time (Time, unit: hour) can be used as the influencing factors of the supercapacitor.

[0113] Collect a series of influencing factor values (vectors with a sufficient number of samples) and a series of variable values corresponding to the influencing factor values, calculate the capacitance value of the supercapacitor using the variable values, and form a model data pair by combining the capacitance value with the corresponding influencing factor value. Use these model data pairs to construct the elevator component performance model through mathematical methods such as fitting.

[0114] According to this embodiment, for the performance of the supercapacitor's capacitance, after determining the performance characterization index (capacitance value), required variables (output current and terminal voltage), and influencing factors (ambient temperature and usage time) of the supercapacitor's capacitance, the specific steps for data acquisition and model establishment are as follows:

[0115] First, obtain the influencing factor values and the corresponding variable values;

[0116] When the ambient temperature is 60 °C, collect the output current and terminal voltage of the supercapacitor under the conditions that the usage times of the supercapacitor are 300 hours, 600 hours, 900 hours, 1200 hours, and 1500 hours respectively;

[0117] When the ambient temperature is 65 °C, collect the output current and terminal voltage of the supercapacitor under the conditions that the usage times of the supercapacitor are 300 hours, 600 hours, 900 hours, 1200 hours, and 1500 hours respectively;

[0118] When the ambient temperature is 70 °C, collect the output current and terminal voltage of the supercapacitor under the conditions that the usage times of the supercapacitor are 300 hours, 600 hours, 900 hours, 1200 hours, and 1500 hours respectively;

[0119] Then, respectively use the values of each variable (including the output current and terminal voltage in each variable value) to correspondingly obtain the capacitance values C1, C2, C3, C4, C5, C6, C7, C8, C9, C 10 、C 11 、C 12 、C 13 、C 14 、C 15 ;

[0120] Secondly, according to the corresponding relationship between the variable values and the influencing factor values, form model data pairs by combining the calculated capacitance values C1 to C 15 and the influencing factor values corresponding to the variable values corresponding to them, as shown in Table 1 below, where the respective characterization index values (capacitance values) calculated using the variable values corresponding to different influencing factor values can be the same or different;

[0121] Finally, use modeling methods such as data fitting, regression analysis, machine learning, neural network, etc. to process the model data pairs to obtain the capacity model of the supercapacitor.

[0122] Table 1 Corresponding relationship table between the values of influencing factors of supercapacitors and characterization index values

[0123]

[0124] This embodiment focuses on the actual performance of elevator components during the elevator's service life. Based on the one-to-one correspondence between the performance characterization indicators related to the performance of elevator components, the corresponding variables, and the influencing factors that affect the performance of elevator components, the real data of elevator operation (the values of influencing factors and variables) is used in an indirect measurement method to construct a relationship model representing the relationship between the performance characterization indicators of elevator components and the influencing factors of elevator component performance. Thus, this model can be used to accurately grasp the actual performance of elevator components, providing valuable references for elevator design, elevator operation quality, and elevator maintenance.

[0125] Embodiment 2

[0126] On the basis of Embodiment 1, in order to ensure the accuracy of the elevator component performance model, this embodiment further limits the influencing factors of the performance of elevator components. Specifically, the method for constructing the elevator component performance model in this embodiment is as Figure 2 shown

[0127] Step S1: Determine the performance characterization indicators of the elevator component, the calculation method of the performance characterization indicators, and the variables required for calculating the performance characterization indicators;

[0128] Step S2: Determine all influencing factors related to the performance of the elevator component;

[0129] Step A1: According to the working characteristics of the elevator component and / or elevator working conditions, determine the value-taking conditions of the influencing factors;

[0130] Step S3: Obtain the values of the influencing factors according to the influencing factors, and obtain the values of the variables according to the variables for calculating the performance characterization indicators when the elevator component is in the state of each value of the influencing factors. Any value of the variable has a specific and unique corresponding value of the influencing factor;

[0131] Step S4: According to the calculation method of the performance characterization indicators, calculate the value of the characterization indicators using the values of the variables, and output it as the value of the characterization indicator;

[0132] Step S5: According to the correspondence between the values of the variables and the values of the influencing factors, use the value of the characterization indicator output in Step S4 and the value of the influencing factor corresponding to the value of the variable to form a pair of model data related to the performance of the elevator component;

[0133] Step S6: Use the pair of model data to construct an elevator component performance model.

[0134] In step A1, according to the elevator operating conditions specified in the technical standards and / or design specifications of the elevator product, first determine the operating condition requirements that the elevator components should meet (i.e., the usage requirements of the elevator for the elevator components) by using the relationship between the elevator components and the elevator, and then determine the value-taking conditions of the influencing factors according to the relationship between the elevator components and the influencing factors and the operating condition requirements. For example, taking the contactor as an elevator component, the elevator operating condition requires its service life to be not less than 20 years. Convert its service life into the number of elevator starts according to the service life of the elevator, and then calculate the number of starts of the contactor in the main circuit of the elevator according to the number of elevator starts (considering re-leveling), so as to obtain the start number requirement of the contactor (as an elevator component), that is, the operating condition requirements that the contactor should meet.

[0135] Among them, the value-taking conditions of the influencing factors include the value-taking coverage range of the influencing factors. For example, the operating temperature of the collected elevator components is within a certain predetermined temperature range.

[0136] The value-taking conditions may also include that the maximum interval of the distribution of the same influencing factor within its value-taking coverage range is less than the first threshold α, so as to determine the resolution of the value-taking of the same influencing factor. If the value-taking of the influencing factor is too sparse, it will affect the accuracy of the finally obtained performance model of the elevator components.

[0137] Embodiment III

[0138] Based on Embodiment II, the method for constructing the performance model of elevator components in this embodiment, as Figure 3 shown, further includes between step S4 and step S5:

[0139] Step B1, sort the multiple representation index values;

[0140] Step B2, select two adjacent representation index values from the sorting result from front to back, where the previous representation index value has been selected and the latter representation index value has not been selected, and calculate the difference between the selected representation index values;

[0141] Step B3, judge whether the difference is greater than the second threshold β. If it is greater, enter step B4; otherwise, enter step B6;

[0142] Step B4, obtain a new variable value and the corresponding influencing factor value corresponding to the new variable value, and the new variable value is between the variable values used to calculate the two representation index values corresponding to the difference;

[0143] Step B5, calculate the value of the performance representation index by using the new variable value, and return to step B1;

[0144] Step B6: Determine whether there are unselected characterization index values. If so, return to Step B2; otherwise, proceed to Step S5.

[0145] This embodiment adds the judgment of the characterization index values used to construct the performance model of elevator components, thereby ensuring the reasonable distribution of the characterization index values calculated from the variable values, and further ensuring the accuracy of the elevator component performance model.

[0146] Embodiment 4

[0147] The difference from Embodiment 2 is that this embodiment further limits the performance characterization indexes of elevator components on the basis of Embodiment 1. Specifically, the method for constructing the performance model of elevator components in this embodiment is as Figure 4 shown and includes the following steps:

[0148] Step S1: Determine the performance characterization indexes of the elevator component, the calculation methods of the performance characterization indexes, and the variables required for calculating the performance characterization indexes.

[0149] Step S2: Determine all influencing factors related to the performance of the elevator component.

[0150] Step A2: Determine the value-taking conditions of the performance characterization indexes according to the working characteristics of the elevator component and / or elevator working conditions.

[0151] Step S3: Obtain the influencing factor values according to the influencing factors, and obtain the variable values according to the variables for calculating the performance characterization indexes when the elevator component is in the state of each influencing factor value. Any one of the variable values has a specific and unique corresponding influencing factor value.

[0152] Step S4: Calculate the value of the performance characterization index using the variable values according to the calculation method of the performance characterization index, and output it as the characterization index value.

[0153] Step S5: According to the correspondence between the variable values and the influencing factor values, use the characterization index value output in Step S4 and the influencing factor values corresponding to the variable values to form model data pairs related to the performance of the elevator component.

[0154] Step S6: Use the model data pairs to construct the elevator component performance model.

[0155] The value-taking conditions of the performance characterization indexes include the value coverage range of the variables.

[0156] Given the one-to-one correspondence among the performance characterization metrics, variables, and influencing factors, in this embodiment, starting from the performance characterization metrics used to construct the elevator component performance model, the values of the characterization metrics are limited to ensure the accuracy of the elevator component performance model.

[0157] Embodiment Five

[0158] Based on Embodiment Four, the method for constructing the elevator component performance model in this embodiment, as Figure 5 shown, further includes between step S4 and step S5:

[0159] Step B1, sort the values of the multiple characterization metrics;

[0160] Step B2, select two adjacent characterization metric values from the sorted results in order from the front, where the previous characterization metric value has been selected and the latter has not been selected, and calculate the difference between the selected characterization metric values;

[0161] Step B3, determine whether the difference is greater than the second threshold β. If it is greater, go to step B4; otherwise, go to step B6;

[0162] Step B4, obtain new variable values and the corresponding influencing factor values corresponding to the new variable values, where the new variable values are between the variable values used to calculate the two characterization metric values corresponding to the difference;

[0163] Step B5, calculate the value of the performance characterization metric using the new variable values, and return to step B1;

[0164] Step B6, determine whether there are unselected characterization metric values. If there are, return to step B2; otherwise, go to step S5.

[0165] Since the range of the performance characterization metrics affects the range of the variable values, and there is a one-to-one correspondence between each variable value and the influencing factor value, the range of the performance characterization metrics will also affect the range of the influencing factors. In this embodiment, it is verified whether the influencing factor values meet the range of the performance characterization metrics.

[0166] Embodiment Six

[0167] Based on Embodiments Two to Five, this embodiment further elaborates on the acquisition of the influencing factor values and variable values. As Figure 6 shown, step S3 includes the following sub-steps:

[0168] Step S31, determine the target elevator on which the elevator component is installed;

[0169] Among them, the target elevator can be determined according to the procurement data of the elevator components, the manufacturing data of the elevator, and the sales data.

[0170] Step S32: Obtain some or all of the influence factor values and their corresponding variable values from some or all of the target elevators.

[0171] Step S33: Determine whether the influence factor values meet the value conditions (according to the one-to-one correspondence relationship among the influence factor values, the variable values, and the characterization index values). If they meet, proceed to step S4; otherwise, proceed to step S34.

[0172] Step S34: Determine whether there are unobtained influence factor values and their corresponding variable values in the target elevators. If there are, obtain the unobtained influence factor values (including the influence factor values of the unselected target elevators and the unobtained influence factor values of the target elevators with only some influence factor values obtained) and their corresponding variable values in the target elevators, and return to step S33; otherwise, proceed to step S35.

[0173] Step S35: Determine whether the target elevators can generate influence factor values that meet the value conditions. If they can, proceed to step S36; otherwise, output an informing message and proceed to step S4.

[0174] Step S36: Determine whether the elevator can be made to generate influence factor values that meet the value conditions through the elevator control system. If it can, adopt an active acquisition method, output a corresponding control signal to the elevator control system, and obtain the influence factor values that meet the value conditions and their corresponding variable values, and proceed to step S4; otherwise, adopt a passive acquisition method, wait to obtain the influence factor values and their corresponding variable values when the elevator itself generates influence factor values that meet the value conditions, and proceed to step S4.

[0175] Embodiment Seven

[0176] On the basis of Embodiment One, in this embodiment, the obtained influence factor values are verified after the elevator component performance model is built. Specifically, it is verified whether the interval of the influence factor values is reasonable.

[0177] On the premise that it is ensured in the foregoing Embodiment Five that the intervals of the variable values and the influence factor values will not cause the difference in the corresponding performance characterization indexes to exceed the second threshold β, it is also necessary to limit the change of the performance characterization index curve with respect to the influence factor values, so as to ensure the accuracy at the curve change points.

[0178] Specifically, as Figure 7 shown, after step S6 of building the elevator component performance model, it further includes:

[0179] Step S7, verify the rationality of the obtained influencing factor values by using the elevator component performance model.

[0180] As Figure 8 shown, the specific steps of step S7 are as follows:

[0181] Step S71, take the derivative of the elevator component performance model;

[0182] Step S72, use the derivative of the elevator component performance model to calculate the derivative value corresponding to the obtained influencing factor value;

[0183] Step S73, calculate the difference between the derivative values corresponding to adjacent influencing factor values. If the difference is less than the third threshold γ, end. Otherwise, obtain a new influencing factor value and its corresponding variable value. The new influencing factor value is between the influencing factor values of the two derivative values used to calculate the difference not less than the third threshold γ, and return to step S4 to update and correct the elevator component performance model by using the newly obtained data (the new influencing factor value and its corresponding variable value) to improve the accuracy of the model.

[0184] This embodiment verifies whether the elevator component performance model built and the obtained influencing factor values are reasonable, and further corrects the model when the rationality verification fails.

[0185] Embodiment Eight

[0186] Based on Embodiment One, this embodiment verifies the influencing factors used to build the elevator component performance model. Specifically, verify whether the selection of the influencing factors related to the elevator component performance is comprehensive, that is, verify whether some important influencing factors are missed or there are redundant influencing factors.

[0187] In this embodiment, as Figure 9 shown, between step S4 and step S5, it further includes:

[0188] Step A3, verify the rationality of the influencing factors by using the influencing factor values and the characterization index values.

[0189] Among them, the rationality verification of this embodiment includes two situations:

[0190] Situation 1, verify whether there are redundant influencing factors by using the influencing factor values and the characterization index values;

[0191] Situation 2, verify whether there are missing influencing factors by using the influencing factor values and the characterization index values.

[0192] For Situation 1, the steps to verify whether there are redundant influencing factors, asFigure 10 As shown below:

[0193] Step C1: Arbitrarily select one from all the influencing factors related to the performance of the elevator component.

[0194] Step C2: Under the condition that the unselected influencing factors all adopt fixed values while the selected influencing factor adopts multiple different values, obtain the characteristic index values corresponding to different values of the influencing factor.

[0195] Step C3: Sort the values of the influencing factor according to the magnitude of the value of the selected influencing factor, and output the sorting result of the values of the influencing factor.

[0196] Step C4: Sort the characteristic index values corresponding to the values of the influencing factor according to the sorting result of the values of the influencing factor, and output the sorting result of the characteristic index values.

[0197] Step C5: Calculate the difference between adjacent characteristic index values according to the sorting result of the characteristic index values. If at least one of the differences is greater than the fourth threshold η, then it is determined that the selected influencing factor is necessary, and this influencing factor is retained; otherwise, it is determined that the selected influencing factor is redundant, this influencing factor is deleted, and all the influencing factors related to the performance of the elevator component are updated.

[0198] Step C6: Determine whether there are unverified influencing factors among all the updated influencing factors. If so, then arbitrarily select one unverified influencing factor from all the updated influencing factors, and return to Step C2; otherwise, update the values of the influencing factor according to the finally verified influencing factors, and enter Step S5.

[0199] Taking the influencing factor of environmental temperature in Embodiment 1 as an example, compare whether the difference between the performance characteristic indexes corresponding to the same usage time Time under different environmental temperatures Temp is greater than the set threshold. If so, it indicates that the influencing factor of environmental temperature has a large enough impact on the performance of the elevator component and can be used as an influencing factor; otherwise, this influencing factor is deleted, and the category of influencing factors related to the performance of the elevator component is updated.

[0200] For Case 2, the steps to verify whether there are missing influencing factors are as Figure 11 shown below:

[0201] Step D1: Collect multiple sets of variable values under the condition that all the influencing factors related to the performance of the elevator component adopt fixed values.

[0202] Step D2: Calculate the characteristic index values corresponding to the collected variable values respectively.

[0203] Step D3: Calculate the differences between the values of the characterization metrics. If the differences are less than the fifth threshold θ, it is determined that there are no missing influencing factors, and step S5 is entered; otherwise, compare and analyze the differences in the elevator component itself or its external environment when different sets of variable values are collected, and use the differences as new influencing factors to update all the influencing factors related to the performance of the elevator component, and return to step S3.

[0204] Still taking the influencing factor of environmental temperature in Embodiment 1 as an example, for the same usage time Time under the same environmental temperature Temp, collect multiple sets of variable values, and calculate the values of the characterization metrics corresponding to the multiple sets of variable values. Check whether the differences between these values of the characterization metrics are less than the set threshold. If so, there is no omission of influencing factors; otherwise, compare and analyze the differences in the elevator component itself or its external environment when different sets of variable values are collected, and use the differences as new influencing factors to update all the influencing factors related to the performance of the elevator component, and return to step S3.

[0205] This embodiment further verifies the rationality of the selection of the influencing factors related to the performance of the elevator component by using the values of the performance characterization metrics, so as to ensure the accuracy of the performance model.

[0206] The present invention has been described in detail through specific embodiments above. The above embodiments are only preferred embodiments of the present invention, and the present invention is not limited to the above embodiments. Without departing from the principle of the present invention, equivalent replacements and improvements made by those skilled in the art shall be regarded as being within the technical scope protected by the present invention.

Claims

1. A method for constructing a performance model of an elevator component, where the elevator component is a single part capable of independently implementing a certain function or a component capable of implementing a certain function and composed of multiple parts combined, characterized in that, The method includes the following steps: Step S1, determining the performance characterization index of the elevator component, the calculation method of the performance characterization index, and the variables required for calculating the performance characterization index; Step S2, determining all influencing factors related to the performance of the elevator component; Step S3, obtaining the values of the influencing factors according to the influencing factors, and obtaining the values of the variables according to the variables for calculating the performance characterization index when the elevator component is in the state of each value of the influencing factors. Any value of the variables has a specific and unique value of the influencing factors corresponding to it; Step S4, according to the calculation method of the performance characterization index, calculating the value of the performance characterization index by using the values of the variables, and outputting it as the characterization index value; Step S5, according to the corresponding relationship between the values of the variables and the values of the influencing factors, using the characterization index value output in Step S4 and the values of the influencing factors corresponding to the values of the variables corresponding to it to form a model data pair related to the performance of the elevator component; Step S6, constructing an elevator component performance model by using the model data pair; Step S7, using the elevator component performance model to verify the rationality of the obtained values of the influencing factors; Among them, the specific steps of Step S7 are as follows: Step S71, taking the derivative of the elevator component performance model; Step S72, using the derivative of the elevator component performance model to calculate the derivative value corresponding to the obtained value of the influencing factor; Step S73, calculating the difference between the derivative values corresponding to adjacent values of the influencing factors. If the difference is less than the first threshold α, end. Otherwise, obtain new values of the influencing factors and their corresponding values of the variables. The new value of the influencing factor is between the values of the influencing factors used to calculate the two derivative values with a difference not less than the first threshold α, and return to Step S4.

2. The method for constructing an elevator component performance model according to claim 1, wherein In Step S3, obtaining the values of the variables and the values of the influencing factors from the database storing elevator-related data. The elevator-related data includes product data of elevator components, working data of elevator components, and environmental data.

3. The method for constructing an elevator component performance model according to claim 1, wherein In Step S3, using a data acquisition device to collect data on the elevator component at the elevator site to obtain the values of the variables and the values of the influencing factors.

4. The method for constructing an elevator component performance model according to claim 1, wherein Between Step S2 and Step S3, it further includes: Step A1, determining the value-taking conditions of the influencing factors according to the working characteristics of the elevator component and / or the elevator working conditions.

5. The method for constructing an elevator component performance model according to claim 4, wherein The value-taking conditions include the value coverage range of the influencing factors.

6. The method for constructing an elevator component performance model according to claim 5, wherein The value-taking conditions also include that the maximum interval of the distribution of the same influencing factor within its value coverage range is less than the second threshold β.

7. The method for constructing an elevator component performance model according to claim 4, characterized in that, Between Step S4 and Step S5, it further includes: Step B1, sorting multiple characterization index values; Step B2, selecting two adjacent characterization index values from the front to the back in the sorting result, where the previous characterization index value has been selected and the latter characterization index value has not been selected before, and calculating the difference between the selected characterization index values; Step B3, judging whether the difference is greater than the third threshold γ. If it is greater, enter Step B4. Otherwise, enter Step B6; Step B4, obtain new variable values and the corresponding influencing factor values, where the new variable values are between the variable values used to calculate the two characterization index values corresponding to the difference; Step B5, calculate the value of the performance characterization index using the new variable values, and return to Step B1; Step B6, determine whether there are unselected characterization index values. If so, return to Step B2; otherwise, enter Step S5.

8. The method for constructing an elevator component performance model according to claim 1, characterized in that Between Step S2 and Step S3, there is also included: Step A2, determine the value-taking conditions of the performance characterization index according to the working characteristics of the elevator component and / or the elevator working conditions.

9. The method for constructing an elevator component performance model according to claim 8, wherein The value-taking conditions include the value coverage range of the variable.

10. The method for constructing an elevator component performance model according to claim 8, characterized in that Between Step S4 and Step S5, there is also included: Step B1, sort the multiple characterization index values; Step B2, select two adjacent characterization index values from the sorting result from the front to the back, where the previous characterization index value has been selected and the latter characterization index value has not been selected, and calculate the difference between the selected characterization index values; Step B3, determine whether the difference is greater than the third threshold γ. If it is greater, enter Step B4; otherwise, enter Step B6; Step B4, obtain new variable values and the corresponding influencing factor values, where the new variable values are between the variable values used to calculate the two characterization index values corresponding to the difference; Step B5, calculate the value of the performance characterization index using the new variable values, and return to Step B1; Step B6, determine whether there are unselected characterization index values. If so, return to Step B2; otherwise, enter Step S5.

11. The method for constructing an elevator component performance model according to any one of claims 4 to 10, characterized in that, The said Step S3 includes the following sub-steps: Step S31, determine the target elevator on which the elevator component is installed; Step S32, obtain part or all of the influencing factor values and their corresponding variable values from part or all of the target elevators; Step S33, determine whether the influencing factor values meet the value-taking conditions. If they meet, enter Step S4; otherwise, enter Step S34; Step S34, determine whether there are unobtained influencing factor values and their corresponding variable values in the target elevator. If so, obtain the unobtained influencing factor values and their corresponding variable values in the target elevator, and return to Step S33; otherwise, enter Step S35; Step S35, determine whether the target elevator can generate influencing factor values that meet the value-taking conditions. If it can, enter Step S36; otherwise, output an informing message and enter Step S4; Step S36, determine whether the elevator control system can be used to make the elevator generate influencing factor values that meet the value-taking conditions. If it can, adopt an active acquisition method, output a corresponding control signal to the elevator control system, and obtain the influencing factor values that meet the value-taking conditions and their corresponding variable values, and enter Step S4; otherwise, adopt a passive acquisition method, wait to obtain the influencing factor values and their corresponding variable values when the elevator itself generates influencing factor values that meet the value-taking conditions, and enter Step S4.

12. The method for constructing an elevator component performance model according to claim 11, wherein In step S31, determine the target elevator according to the procurement data of the elevator components, the manufacturing data of the elevator, and the sales data.

13. The method for constructing an elevator component performance model according to claim 4, characterized in that In step A1, according to the elevator operating conditions specified in the technical standards and / or design specifications of the elevator product, first determine the operating condition requirements that the elevator components should meet by using the relationship between the elevator components and the elevator, and then determine the value conditions of the influencing factors according to the relationship between the elevator components and the influencing factors and the operating condition requirements.

14. The method for constructing an elevator component performance model according to claim 1, wherein The elevator component performance model is a function with the influencing factors of the elevator component as the input and the performance characterization index of the elevator component as the output, and the function is used to represent the quantitative relationship between the influencing factors of the elevator component and the performance of the elevator component.

15. A method for constructing a performance model of an elevator component, where the elevator component is a single part that can independently achieve a certain function or a component that can achieve a certain function and is composed of multiple parts combined, characterized in that, The method includes the following steps: Step S1, determine the performance characterization index of the elevator component, the calculation method of the performance characterization index, and the variables required for calculating the performance characterization index; Step S2, determine all the influencing factors related to the performance of the elevator component; Step S3, obtain the influencing factor values according to the influencing factors, and obtain the variable values according to the variables for calculating the performance characterization index when the elevator component is in the state of each influencing factor value. Any one of the variable values has a specific and unique influencing factor value corresponding to it; Step S4, according to the calculation method of the performance characterization index, calculate the value of the performance characterization index by using the variable values, and output it as the characterization index value; Step S5, use the influencing factor values and the characterization index values to verify the rationality of the influencing factors, and verify whether there are redundant influencing factors and / or missing influencing factors; Step S6, according to the corresponding relationship between the variable values and the influencing factor values, use the characterization index value output in step S4 and the influencing factor values corresponding to the variable values corresponding to it to form a model data pair related to the performance of the elevator component; Step S7, use the model data pair to construct an elevator component performance model; Among them, the steps for verifying whether there are redundant influencing factors are specifically as follows: Step C1, select any one from all the influencing factors related to the performance of the elevator component; Step C2, under the condition that the unselected influencing factors all adopt fixed values but the selected influencing factor adopts multiple different values, obtain the characterization index values corresponding to the different influencing factor values; Step C3, sort the influencing factor values according to the value magnitudes of the selected influencing factor, and output the influencing factor value sorting result; Step C4, sort the characterization index values corresponding to the influencing factor values according to the influencing factor value sorting result, and output the characterization index value sorting result; Step C5. Calculate the difference between adjacent characterization index values according to the sorting result of the characterization index values. If at least one of the differences is greater than the fourth threshold η, it is determined that the selected influencing factor is necessary, and this influencing factor is retained; otherwise, it is determined that the selected influencing factor is redundant, this influencing factor is deleted, and all influencing factors related to the performance of the elevator component are updated. Step C6. Determine whether there are unverified influencing factors among all the updated influencing factors. If so, select any one of the unverified influencing factors from all the updated influencing factors, and return to Step C2; otherwise, update the influencing factor values according to the finally verified influencing factors, and enter Step S6. Among them, the steps for verifying whether there are missing influencing factors are as follows: Step D1. Under the condition that all influencing factors related to the performance of the elevator component adopt fixed values, collect multiple groups of variable values. Step D2. Calculate the characterization index values corresponding to the collected variable values respectively. Step D3. Calculate the difference between the characterization index values. If the difference is less than the fifth threshold θ, it is determined that there are no missing influencing factors, and enter Step S6; otherwise, compare and analyze the differences between the elevator component itself or its external environment when collecting different groups of variable values, and use the differences as new influencing factors, update all influencing factors related to the performance of the elevator component, and return to Step S3.

16. The method for constructing an elevator component performance model according to claim 15, wherein In Step S3, obtain the variable values and the influencing factor values from the database storing elevator-related data. The elevator-related data includes the product data of the elevator component, the working data of the elevator component, and the environmental data.

17. The method for constructing an elevator component performance model according to claim 15, wherein In Step S3, use the data acquisition device to collect data on the elevator component at the elevator site to obtain the variable values and the influencing factor values.

18. The method for constructing an elevator component performance model according to claim 15, wherein Between Step S2 and Step S3, there is also included: Step A1. Determine the value-taking conditions of the influencing factors according to the working characteristics of the elevator component and / or the elevator working conditions.

19. The method for constructing an elevator component performance model according to claim 18, characterized in that, The value-taking conditions include the value-taking coverage range of the influencing factors.

20. The method for constructing an elevator component performance model according to claim 19, wherein, The value-taking conditions also include that the maximum interval of the distribution of the same influencing factor within its value-taking coverage range is less than the second threshold β.

21. The method for constructing an elevator component performance model according to claim 19, wherein Between Step S5 and Step S6, there is also included: Step B1. Sort the multiple characterization index values. Step B2. Select two adjacent characterization index values from the sorting result from front to back, where the previous characterization index value has been selected and the latter characterization index value has not been selected, and calculate the difference between the selected characterization index values. Step B3. Determine whether the difference is greater than the third threshold γ. If it is greater, enter Step B4; otherwise, enter Step B6. Step B4. Obtain new variable values and the influencing factor values corresponding to the new variable values. The new variable values are between the variable values used to calculate the two characterization index values corresponding to the difference. Step B5. Calculate the value of the performance characterization index using the new variable values, and return to Step B1. Step B6, determine whether there are unselected representation index values. If so, return to Step B2; otherwise, proceed to Step S6.

22. The method for constructing an elevator component performance model according to claim 15, wherein Between Step S2 and Step S3, it further includes: Step A2, determine the value-taking conditions of the performance representation index according to the working characteristics of the elevator component and / or the elevator working conditions.

23. The method for constructing an elevator component performance model according to claim 22, wherein The value-taking conditions include the value-taking coverage range of the variable.

24. The method for constructing an elevator component performance model according to claim 22, wherein Between Step S5 and Step S6, it further includes: Step B1, sort the multiple representation index values. Step B2, select two adjacent representation index values from the sorting result from front to back, where the previous representation index value has been selected and the latter representation index value has not been selected, and calculate the difference between the selected representation index values. Step B3, determine whether the difference is greater than the third threshold γ. If it is greater, proceed to Step B4; otherwise, proceed to Step B6. Step B4, obtain the new variable value and the corresponding influencing factor value corresponding to the new variable value, where the new variable value is between the variable values used to calculate the two representation index values corresponding to the difference. Step B5, calculate the value of the performance representation index using the new variable value, and return to Step B1. Step B6, determine whether there are unselected representation index values. If so, return to Step B2; otherwise, proceed to Step S6.

25. The method for constructing an elevator component performance model according to any one of claims 18 to 24, characterized in that The said Step S3 includes the following sub-steps: Step S31, determine the target elevator where the elevator component is installed. Step S32, obtain part or all of the influencing factor values and their corresponding variable values from part or all of the target elevators. Step S33, determine whether the influencing factor value meets the value-taking conditions. If it meets, proceed to Step S4; otherwise, proceed to Step S34. Step S34, determine whether there are unobtained influencing factor values and their corresponding variable values in the target elevator. If so, obtain the unobtained influencing factor values and their corresponding variable values in the target elevator, and return to Step S33; otherwise, proceed to Step S35. Step S35, determine whether the target elevator can generate influencing factor values that meet the value-taking conditions. If it can, proceed to Step S36; otherwise, output an informing message and proceed to Step S4. Step S36, determine whether the elevator control system can be used to make the elevator generate influencing factor values that meet the value-taking conditions. If it can, adopt an active acquisition method, output a corresponding control signal to the elevator control system, and obtain the influencing factor values that meet the value-taking conditions and their corresponding variable values, and proceed to Step S4; otherwise, adopt a passive acquisition method, wait to obtain the influencing factor values and their corresponding variable values when the elevator itself generates influencing factor values that meet the value-taking conditions, and proceed to Step S4.

26. The method for constructing an elevator component performance model according to claim 25, wherein In Step S31, determine the target elevator according to the procurement data of the elevator component, the manufacturing data of the elevator, and the sales data.

27. The method for constructing an elevator component performance model according to claim 18, characterized in that, In step A1, according to the elevator operating conditions specified in the technical standards and / or design specifications of the elevator product, first determine the operating condition requirements that the elevator component should meet by using the relationship between the elevator component and the elevator, and then determine the value conditions of the influencing factor according to the relationship between the elevator component and the influencing factor and the operating condition requirements.

28. The method for constructing an elevator component performance model according to claim 15, characterized in that, The elevator component performance model is a function that takes the influencing factor of the elevator component as the input and the performance characterization index of the elevator component as the output. The function is used to represent the quantitative relationship between the influencing factor of the elevator component and the performance of the elevator component.

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