Elevator maintenance record analysis method and system

Abstract

The present application provides an elevator maintenance record analysis method and system. Applied to the field of elevator maintenance technology, it includes: determining elevator performance evaluation indicators and collecting corresponding data, and calculating the weights of elevator performance evaluation indicators based on the CRITIC method, calculating the weighted scores of elevator performance evaluation indicators according to the weights, and dividing the elevator maintenance levels; constructing an elevator performance evaluation model, calculating the elevator performance evaluation results, and calculating different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation results and the elevator maintenance levels; dividing the maintenance guarantee times according to the elevator maintenance guarantee frequencies, determining the normal maintenance times and the false maintenance times, and calculating the elevator abnormality ratio and the elevator abnormal operation rate, and judging the elevator abnormal maintenance. In this way, the present application can analyze and judge the false maintenance records generated during the elevator maintenance process, and improve the safety and reliability of elevator operation.

Description

Technical Field

[0001] The present application relates to the technical field of elevator maintenance, and in particular to an elevator maintenance record analysis method and system. Background Art

[0002] With the acceleration of urbanization, elevators as vertical transportation tools play an increasingly important role in people's lives. However, the safe operation and effective maintenance of elevators are directly related to the safety of people's lives and property.

[0003] The existing elevator maintenance method is mainly based on manual inspection, which leads to low efficiency, irregular data recording, long cycle and incomplete information acquisition. It has high requirements on the quality and skill level of personnel, so it is very easy to cause elevator accidents, which is not conducive to ensuring the safety and reliability of elevators.

[0004] Therefore, it is necessary to provide a method and system that can analyze elevator maintenance records to determine false maintenance records. Summary of the invention

[0005] The present application provides an elevator maintenance record analysis method and system, which solves the technical problem that false maintenance records of elevators are frequently caused by manual inspections and the like, affecting the safety and reliability of elevators.

[0006] According to a first aspect of the present application, a method for analyzing elevator maintenance records is provided, comprising the following steps:

[0007] Determine the elevator performance evaluation index and collect corresponding data, and calculate the corresponding data of the elevator performance evaluation index based on the CRITIC method to obtain the elevator performance evaluation index weight;

[0008] Processing the data corresponding to the elevator performance evaluation index, and obtaining a weighted score of the elevator performance evaluation index according to the weight calculation, and dividing the elevator maintenance level according to the weighted score;

[0009] Constructing an elevator performance evaluation model, calculating an elevator performance evaluation result, and calculating different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation result and the elevator maintenance level;

[0010] The maintenance times are divided according to the elevator maintenance frequency, the normal maintenance times and the abnormal maintenance times are determined, and the elevator abnormality ratio and the elevator abnormal operation rate are calculated, and false elevator maintenance is judged according to the elevator abnormality ratio and the elevator abnormal operation rate.

[0011] According to the above aspects and any possible implementation, an implementation is further provided, wherein the elevator performance evaluation index includes:

[0012] The number of people trapped in elevators last year, the number of elevator failure reports last year, the number of elevator failure rescues last year, the pass rate of regular elevator inspections, and the abnormal operation time of elevators last year.

[0013] According to the above aspects and any possible implementation, an implementation is further provided, wherein the process of determining the elevator performance evaluation index and collecting corresponding data, and calculating the elevator performance evaluation index corresponding data based on the CRITIC method to obtain the elevator performance evaluation index weight is:

[0014] Determine the elevator performance evaluation index according to the actual operation status of the elevator, collect data corresponding to the elevator performance evaluation index, and perform standardization on the data;

[0015] Constructing a correlation matrix between the number of elevators and the elevator performance evaluation index, and performing SVD decomposition on the correlation matrix to obtain an orthogonal matrix and a diagonal matrix;

[0016] The square root of the eigenvalue is extracted from the diagonal matrix to obtain a weight vector corresponding to the eigenvector, and the weight vector is modified to obtain the weight of the elevator performance evaluation index.

[0017] According to the above aspects and any possible implementation, an implementation is further provided, wherein the data corresponding to the elevator performance evaluation index is processed, and a weighted score of the elevator performance evaluation index is obtained according to the weight calculation, and the process of dividing the elevator maintenance level according to the weighted score is as follows:

[0018] Traversing the data corresponding to the elevator performance evaluation index to obtain the maximum and minimum values ​​of each index data;

[0019] The maximum value and the minimum value are processed and calculated using a linear transformation method to obtain a standardized index, and a weighted score of the elevator is obtained according to the weight calculation;

[0020] Sorting the weighted scores of the elevators to obtain a highest score and a lowest score, and calculating a threshold value according to the highest score and the lowest score;

[0021] Determine the maintenance level, and divide the elevator maintenance level according to the threshold and the maintenance level.

[0022] According to the aspects described above and any possible implementation methods, an implementation method is further provided, wherein the maintenance levels include high-level maintenance, medium-high-level maintenance, medium-level maintenance, and low-level maintenance.

[0023] According to the above aspects and any possible implementation, an implementation is further provided, wherein the process of constructing an elevator performance evaluation model, calculating an elevator performance evaluation result, and calculating different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation result and the elevator maintenance level is as follows:

[0024] Constructing an elevator performance evaluation model according to the elevator performance evaluation index, the data corresponding to the elevator performance evaluation index and the weight, and calculating the elevator performance evaluation result;

[0025] A corresponding maintenance coefficient value is set according to the specific level of the elevator maintenance grade, and the elevator maintenance guarantee frequency is calculated according to the maintenance coefficient value and the elevator performance evaluation result.

[0026] According to the above aspects and any possible implementation, an implementation is further provided, wherein the calculation process of the elevator abnormality ratio is:

[0027]

[0028] Among them, B is the number of abnormal maintenance, b is the number of maintenance without abnormality, J is the number of fault rescue, W is the number of fault repair, H is the fault maintenance rate of elevators of the same type and span in the previous year, and S is the abnormal proportion of elevators;

[0029] The calculation process of the elevator abnormal operation rate is:

[0030]

[0031] Among them, Y is the abnormal operation data, G is the elevator equipment failure data, D is the abnormal operation time of the elevator in that month, d is the operation time of the elevator in that month, and s is the abnormal operation rate of the elevator.

[0032] According to the above aspects and any possible implementation, an implementation is further provided, when 30%≤S<40% or 20%≤s<30%, the data corresponding to the elevator performance evaluation index is judged to be suspicious maintenance data;

[0033] When 40%≤S<50% or 30%≤s<40%, it is judged that the data corresponding to the elevator performance evaluation index is suspected to be false maintenance data;

[0034] When S≥50% or s≥40%, the data corresponding to the elevator performance evaluation index is marked as false maintenance data.

[0035] According to a second aspect of the present application, there is provided an elevator maintenance record analysis system, comprising a data acquisition and analysis module, an elevator maintenance level classification module, an elevator maintenance frequency calculation module, and an elevator abnormal maintenance judgment module connected in sequence;

[0036] The data collection and analysis module is used to collect the corresponding index data of the elevator performance evaluation and calculate the weight of the elevator performance evaluation index;

[0037] The elevator maintenance level classification module is used to process the data corresponding to the elevator performance evaluation index, and obtain the weighted score of the elevator performance evaluation index according to the weight calculation, and classify the elevator maintenance level according to the weighted score;

[0038] The elevator maintenance frequency calculation module is used to construct an elevator performance evaluation model, obtain an elevator performance evaluation result, and calculate different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation result and the elevator maintenance level;

[0039] The elevator abnormal maintenance judgment module is used to divide the maintenance times according to the elevator maintenance frequency, determine the normal maintenance times and the false maintenance times, and calculate the elevator abnormality ratio and the elevator abnormal operation rate, and judge the elevator abnormal maintenance according to the elevator abnormality ratio and the elevator abnormal operation rate.

[0040] As described above and any possible implementation method, an implementation method is further provided, wherein the system also includes an emergency processing module, which is connected to the elevator abnormal maintenance judgment module and is used to trigger an alarm mechanism based on abnormal maintenance data to perform emergency maintenance on the elevator.

[0041] The present invention discloses the following technical effects:

[0042] The present invention analyzes and judges false maintenance records generated due to human or other reasons during the elevator maintenance process, and can timely select false maintenance records, which is convenient for timely alarming and repairing the elevator, thereby improving the safety and reliability of elevator operation; at the same time, the present invention divides different elevators into different levels, and sets false maintenance record judgment methods under corresponding standards for elevators of different levels, which can adapt to the maintenance record analysis of elevator systems under various different situations and has strong robustness.

[0043] It should be understood that the contents described in the Summary of the Invention are not intended to limit the key or important features of the embodiments of the present application, nor are they intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] The above and other features, advantages and aspects of the embodiments of the present application will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present application. In the accompanying drawings, the same or similar reference numerals represent the same or similar elements, among which:

[0045] Figure 1 A flow chart of an elevator maintenance record analysis method according to an embodiment of the present application is shown;

[0046] Figure 2 A structural diagram of an elevator maintenance record analysis system according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0047] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0048] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

[0049] Please refer to Figure 1 As shown, this embodiment provides an elevator maintenance record analysis method, comprising the following steps:

[0050] S101. Determine elevator performance evaluation indicators and collect corresponding data, and calculate elevator performance evaluation indicator weights based on the CRITIC method.

[0051] This embodiment evaluates the performance of the elevator by determining the performance evaluation indicators of the elevator. The elevator performance evaluation indicators determined according to the actual situation of the elevator operation include: the number of people trapped in the elevator last year, the number of elevator failure reports last year, the number of elevator failure rescues, the pass rate of the elevator's regular inspection, and the abnormal operation time of the elevator last year.

[0052] After determining the elevator performance evaluation index, the data is standardized. Specifically, for each evaluation index, the data is standardized so that different indicators are comparable. The specific standardization method is as follows:

[0053] (1)

[0054] Among them, f i is the standardized data, is the corresponding data of the elevator performance evaluation index of the i-th elevator.

[0055] After standardization, the weight of each evaluation indicator is calculated using the Criteria Importance Through Intercriteria Correlation (CRITIC) method. The CRITIC method determines the relative importance of different indicators by evaluating their correlation. Methods such as matrix calculation and eigenvalue decomposition can be used to obtain weights.

[0056] In this embodiment, the correlation between different evaluation indicators is described by constructing a correlation matrix, specifically:

[0057] (2)

[0058] Where n is the total number of elevators, f ij Represents the data corresponding to the jth elevator performance index of the i-th elevator.

[0059] After obtaining the correlation matrix, the weight vector of each evaluation index can be obtained by mathematically processing the correlation matrix and performing SVD decomposition.

[0060] Specifically, first, through eigenvalue decomposition, the correlation matrix F can be decomposed into the following form:

[0061] F = VDV T (3)

[0062] Where V is an orthogonal matrix whose column vectors are the eigenvectors of F, D is a diagonal matrix whose diagonal elements are the eigenvalues ​​of F, and T is the matrix transpose.

[0063] Then, we extract the square root of the eigenvalue from D to get the weight vector corresponding to the eigenvector Specifically, for each element d on the diagonal of D j , calculate its square root (denoted as w j ), each w j Normalize so that the sum of the weights is equal to 1, that is:

[0064] (4)

[0065] Where N is the total number of weights.

[0066] Finally, we get It is the weight of each evaluation indicator, forming a weight vector :

[0067] (5)

[0068] After the weight vector is calculated, the weight is modified. The purpose of modifying the weight is to adjust the importance of certain indicators according to the specific situation, so as to more accurately reflect their impact on the frequency of elevator on-demand maintenance:

[0069] (6)

[0070] Among them, c j is the weight correction coefficient used for correction, is the corrected weight.

[0071] Each indicator value is standardized and converted into a value between 0 and 1. Standardization uses a linear transformation method to ensure comparability between different indicators.

[0072] S102. Process the data corresponding to the elevator performance evaluation index, and obtain a weighted score of the elevator performance evaluation index according to the weight calculation, determine the elevator maintenance level according to the weighted score, and divide the elevator maintenance grades according to the elevator maintenance level.

[0073] First, for each indicator, traverse the collected data, find the minimum and maximum values ​​of each indicator, use the linear transformation method to get the standardized indicator value, and after calculating the standardized indicator value, calculate the weighted score:

[0074] (7)

[0075] Among them, P is the weighted score of the elevator, s j is the standardized index value, j is the serial number of the elevator performance evaluation index, and q is the number of elevator performance evaluation indicators.

[0076] The maintenance level is set. In this embodiment, four maintenance levels are set, namely high level, medium-high level, medium level and low level. According to different maintenance levels, corresponding maintenance frequencies are obtained.

[0077] After determining the maintenance level, calculate the corresponding scoring threshold according to the number of maintenance levels. The purpose of setting the threshold is to divide the scoring range into various maintenance levels in order to determine the maintenance frequency. Specifically:

[0078] Sort the weighted scores of all elevators from small to large, calculate the maximum score and the minimum score, that is, the highest score and the lowest score of all elevators, and calculate the threshold Y based on the highest score and the lowest score:

[0079] (8)

[0080] Among them, t represents the tth maintenance level, the maximum score maxP and the minimum score minP are the highest score and the lowest score of all elevators respectively. is the number of weighted ratings.

[0081] So we get score thresholds that divide the score range between each maintenance level.

[0082] Specifically, this embodiment sets four maintenance levels, and the three scoring thresholds obtained by calculation can be named T1, T2, and T3 respectively, so that they can be divided according to the following rules:

[0083] If the weighted score is greater than T1, the elevator is under high-level maintenance;

[0084] If the weighted score is between T1 and T2, the elevator is under medium-to-high-level maintenance;

[0085] If the weighted score is between T2 and T3, the elevator is under medium-level maintenance;

[0086] If the weighted score is less than T3, the elevator is subject to low-level maintenance.

[0087] S103: construct an elevator performance evaluation model to obtain an elevator performance evaluation result, and calculate different levels of elevator maintenance and guarantee time intervals according to the elevator performance evaluation result and the elevator maintenance level.

[0088] Construct an evaluation model for elevator performance, specifically:

[0089] (9)

[0090] Among them, X is the elevator performance evaluation result, f1 is the qualified rate of the elevator regular inspection, and the weight is ; f2 is the number of people trapped in the elevator last year, is the corresponding weight; f3 is the number of elevator failure reports in the previous year, is the corresponding weight; f4 is the abnormal operation time of the elevator in the previous year, is the corresponding weight; f5 is the number of fault rescues, is the corresponding weight.

[0091] After obtaining the elevator performance evaluation model, the elevator performance evaluation result X is calculated, and the maintenance guarantee frequency of the elevator is calculated based on the result. , specifically:

[0092] (10)

[0093] Among them, M is the maximum value of the elevator performance evaluation result, c is the maintenance coefficient corresponding to the elevator maintenance level, for this coefficient:

[0094] (11)

[0095] In this embodiment, the maximum maintenance time interval of the elevator is set to 3 months, that is, 90 days, and the maintenance interval obtained by calculation is the normal maintenance frequency of the elevator.

[0096] S104. Divide the number of maintenance times according to the elevator maintenance frequency, determine the normal maintenance times and the abnormal maintenance times, calculate the elevator abnormality ratio and the elevator abnormal operation rate, and judge the elevator abnormal maintenance according to the elevator abnormality ratio and the elevator abnormal operation rate.

[0097] After obtaining the maintenance frequency of the elevator, the normal maintenance times and abnormal maintenance times are judged by the maintenance interval. This embodiment uses months as the time interval, records the maintenance times and dates during the month, and judges whether the maintenance time interval between two adjacent maintenance times is less than the maintenance frequency. If the maintenance interval is less than or equal to the maintenance frequency, it is judged as normal maintenance; if the maintenance interval is greater than the maintenance frequency, it is judged as abnormal maintenance.

[0098] After dividing the maintenance guarantee times, the abnormal proportion and abnormal operation rate of the elevator are calculated, specifically:

[0099] (12)

[0100] Among them, B is the number of abnormal maintenance times, b is the number of maintenance times without abnormalities, J is the number of fault rescue times, W is the number of fault repair times, H is the fault maintenance rate of elevators of the same type and span in the previous year, and S is the abnormal proportion of elevators.

[0101] Then calculate the elevator abnormal operation rate, specifically:

[0102] (13)

[0103] Among them, Y is the abnormal operation data, G is the elevator equipment failure data, D is the abnormal operation time of the elevator in that month, d is the operation time of the elevator in that month, and s is the abnormal operation rate of the elevator.

[0104] After obtaining the abnormal proportion and abnormal operation rate of the elevator, determine whether it is abnormal maintenance. When 30%≤S<40% or 20%≤s<30%, the corresponding data of the elevator performance evaluation index is determined to be suspicious maintenance data;

[0105] When 40%≤S<50% or 30%≤s<40%, the corresponding data of the elevator performance evaluation index is judged to be suspected false maintenance data;

[0106] When S≥50% or s≥40%, the corresponding data of the elevator performance evaluation index is false maintenance data.

[0107] like Figure 2 As shown, this embodiment also provides an elevator maintenance record analysis system, including a data acquisition and analysis module 1, an elevator maintenance level classification module 2, an elevator maintenance frequency calculation module 3, an elevator abnormal maintenance judgment module 4, and an emergency processing module 5 connected in sequence;

[0108] The data collection and analysis module 1 is used to collect data corresponding to the elevator performance evaluation index and calculate the weight of the elevator performance evaluation index;

[0109] The elevator maintenance level classification module 2 is used to process the data corresponding to the elevator performance evaluation index, and obtain the weighted score of the elevator performance evaluation index according to the weight calculation, and classify the elevator maintenance level according to the weighted score;

[0110] The elevator maintenance frequency calculation module 3 is used to construct an elevator performance evaluation model, obtain an elevator performance evaluation result, and calculate different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation result and the elevator maintenance level;

[0111] The elevator abnormal maintenance judgment module 4 is used to divide the maintenance times according to the elevator maintenance frequency, determine the normal maintenance times and the false maintenance times, and calculate the elevator abnormality ratio and the elevator abnormal operation rate, and judge the elevator abnormal maintenance according to the elevator abnormality ratio and the elevator abnormal operation rate;

[0112] The emergency processing module 5 is connected to the elevator abnormal maintenance judgment module 4, and is used to trigger the alarm mechanism according to the abnormal maintenance data and perform emergency maintenance on the elevator.

[0113] It should be noted that, for the aforementioned method embodiments, for the sake of simplicity, they are all expressed as a series of action combinations, but those skilled in the art should be aware that the present application is not limited by the described order of actions, because according to the present application, certain steps can be performed in other orders or simultaneously. Secondly, those skilled in the art should also be aware that the embodiments described in the specification are all optional embodiments, and the actions and modules involved are not necessarily required by the present application.

[0114] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this application can be executed in parallel, sequentially or in different orders, as long as the expected results of the technical solution disclosed in this application can be achieved, and this document is not limited here.

[0115] The above specific implementations do not constitute a limitation on the protection scope of this application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of this application should be included in the protection scope of this application.

Claims

1. A method for analyzing elevator maintenance records, characterized in that: The following steps are involved: Determine the elevator performance evaluation index and collect corresponding data, and calculate the corresponding data of the elevator performance evaluation index based on the CRITIC method to obtain the elevator performance evaluation index weight; The elevator performance evaluation indicators include: the number of people trapped in the elevator last year, the number of elevator fault reports last year, the number of elevator fault rescues, the pass rate of regular elevator inspections, and the abnormal operation time of the elevator last year; Processing the data corresponding to the elevator performance evaluation index, and obtaining a weighted score of the elevator performance evaluation index according to the weight calculation, and dividing the elevator maintenance level according to the weighted score; Constructing an elevator performance evaluation model, calculating an elevator performance evaluation result, and calculating different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation result and the elevator maintenance level; The maintenance times are divided according to the elevator maintenance frequency, the normal maintenance times and the abnormal maintenance times are determined, and the elevator abnormality ratio and the elevator abnormal operation rate are calculated, and false elevator maintenance is judged according to the elevator abnormality ratio and the elevator abnormal operation rate; The calculation process of the elevator abnormality ratio is as follows: Among them, B is the number of abnormal maintenance, b is the number of maintenance without abnormality, J is the number of fault rescue, W is the number of fault repair, H is the fault maintenance rate of elevators of the same type and span in the previous year, and S is the abnormal proportion of elevators; The calculation process of the elevator abnormal operation rate is: Among them, Y is the abnormal operation data, G is the elevator equipment failure data, D is the elevator abnormal operation time of the month, d is the elevator operation time of the month, and s is the elevator abnormal operation rate; When 30%≤S<40% or 20%≤s<30%, the data corresponding to the elevator performance evaluation index is judged to be suspicious maintenance data; When 40%≤S<50% or 30%≤s<40%, it is judged that the data corresponding to the elevator performance evaluation index is suspected to be false maintenance data; When S≥50% or s≥40%, the data corresponding to the elevator performance evaluation index is marked as false maintenance data.

2. The elevator maintenance record analysis method according to claim 1, characterized in that: The process of determining the elevator performance evaluation index and collecting corresponding data, and calculating the corresponding data of the elevator performance evaluation index based on the CRITIC method to obtain the weight of the elevator performance evaluation index is as follows: Determine the elevator performance evaluation index according to the actual operation status of the elevator, collect data corresponding to the elevator performance evaluation index, and perform standardization on the data; Constructing a correlation matrix between the number of elevators and the elevator performance evaluation index, and performing SVD decomposition on the correlation matrix to obtain an orthogonal matrix and a diagonal matrix; The square root of the eigenvalue is extracted from the diagonal matrix to obtain a weight vector corresponding to the eigenvector, and the weight vector is modified to obtain the weight of the elevator performance evaluation index.

3. The elevator maintenance record analysis method according to claim 1, characterized in that: The process of processing the data corresponding to the elevator performance evaluation index, and obtaining a weighted score of the elevator performance evaluation index according to the weight calculation, and dividing the elevator maintenance level according to the weighted score is as follows: Traversing the data corresponding to the elevator performance evaluation index to obtain the maximum and minimum values ​​of each index data; The maximum value and the minimum value are processed and calculated using a linear transformation method to obtain a standardized index, and a weighted score of the elevator is obtained according to the weight calculation; Sorting the weighted scores of the elevators to obtain a highest score and a lowest score, and calculating a threshold value according to the highest score and the lowest score; Determine the maintenance level, and divide the elevator maintenance level according to the threshold and the maintenance level.

4. The elevator maintenance record analysis method according to claim 3, characterized in that: The maintenance levels include high-level maintenance, medium-high-level maintenance, medium-level maintenance and low-level maintenance.

5. The elevator maintenance record analysis method according to claim 1, characterized in that: The process of constructing an elevator performance evaluation model, calculating an elevator performance evaluation result, and calculating different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation result and the elevator maintenance level is as follows: Constructing an elevator performance evaluation model according to the elevator performance evaluation index, the data corresponding to the elevator performance evaluation index and the weight, and calculating the elevator performance evaluation result; A corresponding maintenance coefficient value is set according to the specific level of the elevator maintenance grade, and the elevator maintenance guarantee frequency is calculated according to the maintenance coefficient value and the elevator performance evaluation result.

6. An elevator maintenance record analysis system, characterized in that: It comprises a data collection and analysis module (1), an elevator maintenance level classification module (2), an elevator maintenance frequency calculation module (3) and an elevator abnormal maintenance judgment module (4) which are connected in sequence; The data collection and analysis module (1) is used to collect data corresponding to elevator performance evaluation indicators and calculate the weights of elevator performance evaluation indicators; wherein the elevator performance evaluation indicators include: the number of people trapped in the elevator last year, the number of elevator failure reports last year, the number of elevator failure rescues, the pass rate of regular elevator inspections, and the abnormal operation time of the elevator last year; The elevator maintenance level classification module (2) is used to process the data corresponding to the elevator performance evaluation index, obtain the weighted score of the elevator performance evaluation index according to the weight calculation, and classify the elevator maintenance level according to the weighted score; The elevator maintenance frequency calculation module (3) is used to construct an elevator performance evaluation model to obtain an elevator performance evaluation result, and to calculate different levels of elevator maintenance guarantee frequencies according to the elevator performance evaluation result and the elevator maintenance level; The elevator abnormal maintenance judgment module (4) is used to divide the maintenance times according to the elevator maintenance frequency, determine the normal maintenance times and the false maintenance times, calculate the elevator abnormality ratio and the elevator abnormal operation rate, and judge the elevator abnormal maintenance according to the elevator abnormality ratio and the elevator abnormal operation rate; The calculation process of the elevator abnormality ratio is as follows: Among them, B is the number of abnormal maintenance, b is the number of maintenance without abnormality, J is the number of fault rescue, W is the number of fault repair, H is the fault maintenance rate of elevators of the same type and span in the previous year, and S is the abnormal proportion of elevators; The calculation process of the elevator abnormal operation rate is: Among them, Y is the abnormal operation data, G is the elevator equipment failure data, D is the elevator abnormal operation time of the month, d is the elevator operation time of the month, and s is the elevator abnormal operation rate; When 30%≤S<40% or 20%≤s<30%, the data corresponding to the elevator performance evaluation index is judged to be suspicious maintenance data; When 40%≤S<50% or 30%≤s<40%, it is judged that the data corresponding to the elevator performance evaluation index is suspected to be false maintenance data; When S≥50% or s≥40%, the data corresponding to the elevator performance evaluation index is marked as false maintenance data.

7. The elevator maintenance record analysis system according to claim 6, characterized in that: The system further comprises an emergency processing module (5), which is connected to the elevator abnormal maintenance judgment module (4) and is used to trigger an alarm mechanism based on abnormal maintenance data and perform emergency maintenance on the elevator.

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