Elevator risk assessment method, device and equipment and storage medium

Abstract

The invention discloses an elevator risk assessment method, device and equipment and a storage medium, and relates to the technical field of elevator risk assessment, and the elevator risk assessment method comprises the steps that data analysis is carried out based on historical pitting corrosion data and elevator associated data, and an elevator failure assessment strategy is formulated according to an analysis result; performing pitting failure evaluation on the to-be-evaluated elevator according to the elevator failure evaluation strategy to obtain a turbine state grade and a turbine failure probability grade; determining an elevator risk level according to the turbine state level and the turbine failure probability level; and performing category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain an elevator risk assessment result. By means of the mode, potential fault risks can be found in time, a maintenance strategy can be formulated in advance, serious consequences caused by sudden equipment faults are avoided, the maintenance cost can be effectively reduced, the service life of equipment is prolonged, the reliability and economical efficiency of industrial production are improved, and robust development of all industries is promoted.

Description

Technical Field

[0001] This application relates to the technical field of elevator risk assessment, and particularly to an elevator risk assessment method, device, equipment, and storage medium. Background Art

[0002] As a key component of elevator drive, the worm wheel of an elevator traction machine directly affects the operation efficiency and safety of the elevator. The worm gear type traction machine occupies a significant position in the traction machine market due to its stable working characteristics, excellent vibration absorption and shock resistance capabilities, low noise, and ability to achieve a large transmission ratio. In the past, the worm wheels of traction machines were mostly made of cast tin bronze. However, with the progress of material science, cast zinc alloy has been widely used due to its simple production process, excellent performance, and low cost. The domestic elevator industry has started to use cast high-aluminum zinc-based alloy ZA27 (referred to as "ZA27 alloy") to replace bronze for making the worm wheels of traction machines. However, since the use of this material to manufacture the worm wheels of traction machines, the phenomenon of broken teeth of the worm wheels has occurred from time to time, and it has occurred frequently in some local areas during a certain period. In recent years, there have been many elevator top collision accidents caused by tooth surface pitting leading to broken teeth. Through the analysis of 32,773 traction freight elevators in a certain city, it was found that among the elevators with worm wheels made of cast zinc-aluminum alloy, 4,086 had worm wheel pitting failure phenomena in the full-cycle data. Therefore, evaluating the pitting failure risk of the tooth surface of the asynchronous host worm wheel can effectively reduce the probability of equipment failure and prevent accidents from occurring.

[0003] Currently, there are many deficiencies in the risk assessment methods for tooth surface pitting failure. Traditional methods mainly focus on the observation of macroscopic appearances, such as tooth surface appearance inspection and vibration and noise monitoring, etc., but lack in-depth research on the mechanism of the pitting process. In addition, these methods do not have specific numerical quantification for macroscopic changes, neither can they accurately guide inspections nor effectively determine the risk level of the equipment. At the same time, most of the existing evaluation means consider single factors in isolation and do not comprehensively consider the synergistic effects of various factors such as material properties, lubrication status, and operating conditions. The evaluation results are often not comprehensive and accurate enough to provide a reliable decision-making basis for equipment maintenance. Therefore, how to solve the problem that the existing technical standards for the evaluation method of worm wheel tooth surface pitting failure are too vague to accurately guide inspections has become an urgent problem to be solved. Summary of the Invention

[0004] The main purpose of this application is to provide an elevator risk assessment method, device, equipment, and storage medium, aiming to solve the technical problem that the existing technical standards for the evaluation method of worm wheel tooth surface pitting failure are too vague to accurately guide inspections.

[0005] To achieve the above object, this application proposes an elevator risk assessment method, and the elevator risk assessment method includes:

[0006] Perform data analysis based on historical pitting data and elevator - related data, and formulate an elevator failure assessment strategy according to the analysis results;

[0007] Perform pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy, and obtain the turbine status level and the turbine failure probability level;

[0008] Determine the elevator risk level according to the turbine status level and the turbine failure probability level;

[0009] Perform category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain the elevator risk assessment result.

[0010] In one embodiment, the step of performing category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain the elevator risk assessment result includes:

[0011] When the elevator risk level is a first - class risk level, determine the elevator risk assessment result as the elevator failure assessment result based on the elevator risk category assessment strategy;

[0012] When the elevator risk level is a second - class risk level, determine the elevator risk assessment result as the elevator re - inspection assessment result based on the elevator risk category assessment strategy;

[0013] When the elevator risk level is a third - class risk level, determine the elevator risk assessment result as the elevator safety assessment result based on the elevator risk category assessment strategy.

[0014] In one embodiment, after the step of determining the elevator risk assessment result as the elevator re - inspection assessment result based on the elevator risk category assessment strategy when the elevator risk level is a second - class risk level, it further includes:

[0015] Perform dynamic monitoring on the elevator to be evaluated based on the elevator monitoring period to obtain the elevator monitoring image;

[0016] Perform status assessment based on the turbine pitting failure assessment strategy and the elevator monitoring image to obtain the current status level;

[0017] When the current status level is the first status level, determine the elevator risk level as the first - class risk level.

[0018] In one embodiment, the step of performing pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy to obtain the turbine status level and the turbine failure probability includes

[0019] Determine the turbine pitting failure assessment strategy and the turbine failure probability assessment strategy according to the elevator failure assessment strategy;

[0020] Perform a condition assessment on the elevator to be evaluated based on the above turbine pitting failure assessment strategy to obtain the turbine condition level;

[0021] Perform a probability assessment on the elevator to be evaluated based on the above turbine failure probability assessment strategy to obtain the turbine failure probability level.

[0022] In one embodiment, the step of performing a condition assessment on the elevator to be evaluated based on the above turbine pitting failure assessment strategy to obtain the turbine condition level includes:

[0023] Perform condition monitoring on the elevator to be evaluated to obtain a gear pitting image;

[0024] Identify the gear pitting image to obtain the gear thickness, pitting area, and pitting shape dimensions;

[0025] Perform a condition assessment on the gear thickness, pitting area, and pitting shape dimensions based on the above turbine pitting failure assessment strategy to obtain the turbine condition level.

[0026] In one embodiment, the step of performing a probability assessment on the elevator to be evaluated based on the above turbine failure probability assessment strategy to obtain the turbine failure probability level includes:

[0027] Perform probability calculation on the elevator to be evaluated according to a preset elevator database to obtain the overall machine probability level and the drive host probability level;

[0028] Determine the elevator combined probability according to the overall machine probability level and the drive host probability level;

[0029] Obtain the turbine failure probability level according to the above turbine failure probability assessment strategy and the elevator combined probability.

[0030] In one embodiment, the step of performing data analysis based on historical pitting data and elevator associated data and formulating an elevator failure assessment strategy according to the analysis results includes:

[0031] Perform data analysis based on historical pitting data and elevator associated data, and perform quantization processing on the initial failure probability assessment strategy according to the analysis results to obtain the turbine pitting failure assessment strategy;

[0032] Perform data analysis based on historical pitting data and elevator associated data, and perform division of the combined probability level ratio according to the analysis results to obtain the turbine failure probability assessment strategy;

[0033] Obtain the elevator failure assessment strategy according to the above turbine failure probability assessment strategy and the turbine failure probability assessment strategy.

[0034] In addition, to achieve the above object, the present application further provides an elevator risk assessment device, which includes:

[0035] An analysis module, configured to perform data analysis based on historical pitting data and elevator associated data, and formulate an elevator failure assessment strategy according to the analysis result;

[0036] An evaluation module, configured to perform pitting failure evaluation on the elevator to be evaluated according to the elevator failure assessment strategy, and obtain a turbine status level and a turbine failure probability level;

[0037] The evaluation module is further configured to determine an elevator risk level according to the turbine status level and the turbine failure probability level;

[0038] The evaluation module is further configured to perform category evaluation based on an elevator risk category evaluation strategy and the elevator risk level, and obtain an elevator risk assessment result.

[0039] In addition, to achieve the above object, the present application further provides an elevator risk assessment device, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program is configured to implement the steps of the elevator risk assessment method as described above.

[0040] In addition, to achieve the above object, the present application further provides a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium, and when the computer program is executed by a processor, the steps of the elevator risk assessment method as described above are implemented.

[0041] In addition, to achieve the above object, the present application further provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the elevator risk assessment method as described above are implemented.

[0042] The present application performs data analysis based on historical pitting data and elevator associated data, formulates an elevator failure assessment strategy according to the analysis result; performs pitting failure evaluation on the elevator to be evaluated according to the elevator failure assessment strategy, and obtains a turbine status level and a turbine failure probability level; determines an elevator risk level according to the turbine status level and the turbine failure probability level; performs category evaluation based on an elevator risk category evaluation strategy and the elevator risk level, and obtains an elevator risk assessment result. By the above method, it not only helps to timely discover potential failure risks, formulate maintenance strategies in advance, and avoid serious consequences caused by sudden equipment failures, but also can effectively reduce maintenance costs, extend the service life of equipment, improve the reliability and economy of industrial production, and promote the steady development of various industries. Description of the Drawings

[0043] The accompanying drawings here are incorporated into the specification and form a part of this specification, showing embodiments consistent with this application, and are used together with the specification to explain the principles of this application.

[0044] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the following will briefly introduce the accompanying drawings required for use in the description of the embodiments or the prior art. Obviously, for those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0045] Figure 1 It is a schematic flow chart provided for the first embodiment of the elevator risk assessment method of this application;

[0046] Figure 2 It is a schematic diagram showing the proportion of different elevator manufacturers in pitting corrosion failure provided for the first embodiment of the elevator risk assessment method of this application;

[0047] Figure 3 It is a schematic diagram showing the proportion of different drive host manufacturers in pitting corrosion failure provided for the first embodiment of the elevator risk assessment method of this application;

[0048] Figure 4 It is a schematic diagram showing the proportion of different rated load weights in pitting corrosion failure provided for the first embodiment of the elevator risk assessment method of this application;

[0049] Figure 5 It is a schematic diagram of the combined probability of the total number of pitting corrosion of all rated load worm gears provided for the first embodiment of the elevator risk assessment method of this application;

[0050] Figure 6 It is a schematic diagram of the combined probability of the total number of pitting corrosion of the worm gear with a rated load of 2000 kg provided for the first embodiment of the elevator risk assessment method of this application;

[0051] Figure 7 It is a schematic diagram of the combined probability of the total number of pitting corrosion of the worm gear with a rated load of 3000 kg in the process provided for the first embodiment of the elevator risk assessment method of this application;

[0052] Figure 8 It is a schematic diagram of the combined probability of the total number of pitting corrosion of the worm gear with a rated load of 1000 kg provided for the first embodiment of the elevator risk assessment method of this application;

[0053] Figure 9 It is a schematic flow chart of the risk assessment implementation process provided for the first embodiment of the elevator risk assessment method of this application;

[0054] Figure 10 It is a schematic flow chart provided for the second embodiment of the elevator risk assessment method of this application;

[0055] Figure 11Schematic diagram of the module structure of the elevator risk assessment device according to the embodiment of the present application;

[0056] Figure 12 Schematic diagram of the device structure of the hardware operating environment involved in the elevator risk assessment method according to the embodiment of the present application.

[0057] The implementation, functional characteristics, and advantages of the present application will be further described with reference to the embodiments and the accompanying drawings. Detailed implementation manners

[0058] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0059] To better understand the technical solutions of the present application, the following will be described in detail with reference to the accompanying drawings of the specification and specific implementation manners.

[0060] The main solution of the embodiment of the present application is: performing data analysis based on historical pitting data and elevator association data, and formulating an elevator failure assessment strategy according to the analysis results; performing pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy to obtain the turbine state level and the turbine failure probability level; determining the elevator risk level according to the turbine state level and the turbine failure probability level; and performing category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain the elevator risk assessment result.

[0061] Currently, there are many deficiencies in the risk assessment methods for tooth surface pitting failure. Traditional methods mainly focus on the observation of macroscopic appearances, such as tooth surface appearance inspection and vibration and noise monitoring, etc., but lack in-depth research on the mechanism of the pitting process. In addition, these methods do not have specific numerical quantifications for macroscopic changes, neither can they accurately guide inspections nor effectively determine the risk level of the equipment. At the same time, most of the existing evaluation means consider single factors in isolation and do not comprehensively consider the synergistic effects of various factors such as material properties, lubrication status, and operating conditions. The evaluation results are often not comprehensive and accurate enough to provide a reliable decision-making basis for equipment maintenance. Therefore, how to solve the problem that the existing technical standards for the evaluation method of worm gear tooth surface pitting failure are too vague to accurately guide inspections has become an urgent problem to be solved.

[0062] This application analyzes data based on historical pitting data and elevator-related data, and formulates an elevator failure assessment strategy according to the analysis results; conducts pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy to obtain the turbine status level and the turbine failure probability level; determines the elevator risk level based on the turbine status level and the turbine failure probability level; conducts category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain the elevator risk assessment result. Through the above methods, it not only helps to detect potential failure risks in a timely manner, formulate maintenance strategies in advance, and avoid the serious consequences brought by sudden equipment failures, but also can effectively reduce maintenance costs, extend the service life of equipment, improve the reliability and economy of industrial production, and promote the steady development of various industries.

[0063] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication, and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an elevator risk assessment device that can implement the above functions. The following takes the elevator risk assessment device as the execution subject as an example to illustrate this embodiment and the following embodiments.

[0064] Based on this, the embodiment of this application provides an elevator risk assessment method, referring to Figure 1 , Figure 1 is the flowchart of the first embodiment of the elevator risk assessment method of this application.

[0065] In this embodiment, the elevator risk assessment method includes steps S10 to S40:

[0066] Step S10, analyze data based on historical pitting data and elevator-related data, and formulate an elevator failure assessment strategy according to the analysis results;

[0067] It should be noted that historical pitting data refers to historical relevant data of worm gear tooth surface pitting failure, such as gear pitting thickness, tooth surface pitting area, and pitting size and shape diameter, etc. Elevator-related data refers to elevator usage instruction information, such as turbine usage instruction information. The elevator failure assessment strategy refers to a strategy for quantitatively evaluating elevator pitting failure, including turbine failure probability assessment strategy and turbine pitting failure assessment strategy.

[0068] In specific implementation, this embodiment conducts big data analysis on the historical relevant data of worm gear tooth surface pitting failure and turbine usage instruction information, and then quantitatively processes the turbine pitting failure assessment method to obtain the turbine failure probability assessment strategy and the turbine pitting failure assessment strategy, and then summarizes them to obtain a strategy for quantitatively evaluating elevator pitting failure.

[0069] It should be noted that in this embodiment, the risk is a comprehensive consideration of the probability of injury occurrence and the severity of the injury. The risk of worm gear failure involves multiple links, such as design, manufacturing, installation, and use, and there are potential risks in each link. These risks may stem from aspects such as design defects, material quality problems, manufacturing process defects, improper installation, or improper use and maintenance. These risks will not only affect the performance and lifespan of the worm gear, but may also cause equipment failures and even lead to safety accidents.

[0070] In a feasible implementation manner, step S10 may include steps A11 to A13:

[0071] Step A11, perform data analysis based on historical pitting data and elevator-related data, and perform quantitative processing on the initial failure probability assessment strategy according to the analysis results to obtain a worm gear pitting failure assessment strategy;

[0072] It should be noted that the initial failure probability assessment strategy refers to the worm gear pitting failure assessment strategy that has not been quantified, and the worm gear pitting failure assessment strategy refers to the assessment strategy for the severity of worm gear pitting failure.

[0073] In specific implementation, through big data analysis of the historical relevant data of worm gear tooth surface pitting failure and the worm gear usage instruction information, and then performing quantitative processing on the severity of worm gear pitting failure, and then obtaining the assessment strategy for the severity of worm gear pitting failure, that is, the worm gear pitting failure assessment strategy. For example: the thickness reduction caused by gear pitting reaches 5% or less (including locally); the pitting area on the tooth surface exceeds 5% of the working area of the tooth; the size and shape of the pitting have a diameter less than 2 mm or a diagonal less than 2 mm for a polygon, and then it is determined that the severity of worm gear pitting failure is negligible.

[0074] It should be noted that the turbine pitting failure assessment strategy not quantified in this embodiment, for example: Article 4.2.2 of the national standard "Technical Conditions for Scrap of Main Components of Elevators" (GB / T 31821-2015) and the Guangdong provincial mandatory standard "Technical Conditions for Scrap of Important Components of In-service Passenger Elevators and Freight Elevators" (DB442529-2024) both stipulate that if the speed reducer has any of the following situations, it is regarded as meeting the scrap technical conditions: a) Severe failures in the form of permanent deformation, breakage, cracks, pitting, gluing or wear of the teeth of worm gears, helical gears, and planetary gears that affect safe operation. In addition, the national standard "Code for Safety Assessment of In-service Elevators" (GB / T 42615-2023) points out that if there are no severe failures in the form of plastic deformation, breakage, cracks, pitting, gluing or wear of the teeth of worm gear pairs, helical gears, and planetary gears that affect safe operation, it is evaluated as a Class I risk. Among them, the key word "pitting affecting safety" involved in the evaluation lacks practical guiding significance because the failure change mechanism of pitting is often relatively fast. If the risk level cannot be accurately evaluated and effective measures are not taken in a timely manner, serious failure accidents may occur before the next regular inspection period of the equipment.

[0075] It should be noted that in this embodiment, by considering the consequences caused to people, property or the environment, according to the purpose and theme of risk assessment, the severity of possible injuries in a scenario should be evaluated as one of the severities shown in Table 1.

[0076] Table 1:

[0077]

[0078] Based on the risk assessment theory in Table 1 of this embodiment, combined with the different situations of worm gear pitting failure and different consequences, a quantifiable risk severity table is formulated, as shown in Table 2.

[0079] Table 2:

[0080]

[0081] Step A12, perform data analysis based on historical pitting data and elevator-related data, and divide the combined probability grade ratio according to the analysis results to obtain the turbine failure probability assessment strategy;

[0082] It can be understood that the turbine failure probability assessment strategy refers to the probability grade assessment strategy for worm gear failure.

[0083] In specific implementation, big data analysis is carried out on the historical relevant data of pitting failure of worm gear tooth surfaces and the information of turbine usage instructions, and then through the comparative analysis of combined data and overall data: initially divide the combined probability level ratio, with the frequent ratio A > 75%, the very likely ratio 75% ≤ B ≥ 50%, the occasional ratio C < 50%, and finally obtain the turbine failure probability evaluation strategy.

[0084] It should be noted that in this implementation, the probability of injury occurrence is evaluated by considering the probability of the occurrence of an event (cause and consequence) and the probability of personnel being exposed to a dangerous state when an injury event occurs. The probability level of injury occurrence should be evaluated as one of the probability levels in Table 3, as shown in Table 3.

[0085] Table 3:

[0086] Probability level Description A - Frequent Likely to occur frequently during the service life B - Probable Likely to occur several times during the service life C - Occasional Likely to occur at least once during the service life D - Rare Not likely to occur, but may occur during the service life E - Unlikely Very unlikely to occur during the service life F - Almost impossible Probability is almost zero

[0087] In this embodiment, through the analysis of the full-cycle inspection results of traction freight elevators in a certain city, pitting failure is analyzed from three dimensions: the whole elevator manufacturer, the drive host manufacturer, and the rated load. The results are analyzed as follows Figures 2 - 4 As shown. It is analyzed that from the dimension of the traction machine manufacturer: the 1st manufacturer, the 2nd manufacturer, and the 3rd manufacturer have a relatively high proportion, exceeding 40%; from the dimension of the whole elevator manufacturer: the A manufacturer, the B manufacturer, and the C manufacturer have a relatively high proportion, exceeding 25%; from the dimension of the host model: YS10-1, YJ220, and YJ240 have a relatively high proportion, exceeding 19.3%, and the pitting failure proportion of the worm gear with a rated load of 2000 kg, 3000 kg, and 1000 kg is close to 90%.

[0088] It should be noted that in this embodiment, through big data analysis, based on the P90 data principle, the three factors affecting the probability of event occurrence are considered, namely, C: rated load, B: drive host manufacturing unit, and A: whole elevator manufacturing unit. In this embodiment, the probability levels are first divided into three levels: frequent (A1), very likely (B1), and occasional (C1). The total number of worm gear pittings defines the intervals of frequent, very likely, and occasional through the proportion of the whole machine manufacturing unit and the drive host manufacturing unit. The frequent proportion is in A1 or B1 ≥ 5%, the very likely proportion is in 5% < A2 or B2 > 1%, and the occasional proportion is in A3 or B3 ≤ 1%. By using different elevator rated loads (2000 kg, 3000 kg, 1000 kg), the regularity of the probability level and the overall data is verified to determine the probability of the occurrence of an event affected by the three factors, as Figures 5 - 8 shown.

[0089] Through the comparative analysis of combined data and overall data: initially divide the combined probability level ratio, with the frequent ratio A > 75%, the very likely ratio 75% ≤ B ≥ 50%, the occasional ratio C < 50%, as shown in Table 4 specifically.

[0090] Table 4:

[0091]

[0092] Step A13, obtain an elevator failure assessment strategy according to the turbine failure probability assessment strategy and the turbine failure probability assessment strategy.

[0093] In a specific implementation, summarize the probability level assessment strategy of worm gear failure and the assessment strategy of the severity of worm gear pitting failure to obtain an elevator failure assessment strategy.

[0094] Step S20, perform a pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy, and obtain a turbine status level and a turbine failure probability level;

[0095] It can be understood that the turbine status level refers to the severity of the worm gear pitting failure, and the turbine failure probability level refers to the probability level of the worm gear pitting failure.

[0096] In a specific implementation, evaluate the elevator with pitting failure to be evaluated respectively through the quantified probability level assessment strategy of worm gear failure and the assessment strategy of the severity of worm gear pitting failure, and then accurately obtain the severity of the worm gear pitting failure of the elevator to be evaluated and the probability level of the worm gear pitting failure, that is, obtain the turbine status level and the turbine failure probability level.

[0097] Step S30, determine the elevator risk level according to the turbine status level and the turbine failure probability level;

[0098] It can be understood that the elevator risk level refers to the risk level of the elevator having pitting failure.

[0099] In a specific implementation, analyze the severity of the worm gear pitting failure and the probability level of the worm gear pitting failure, and then determine the risk level of the elevator having pitting failure. For example, if the severity and the probability level are respectively evaluated as "Level 1" and "C(A 1 +B 1 )" level, then the risk level is "1A 1 .

[0100] It should be noted that in this embodiment, the risk level can be determined by measuring the severity and the probability level, as shown in Table 5 specifically.

[0101] Table 5:

[0102]

[0103] Step S40: Conduct a category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain the elevator risk assessment result.

[0104] It can be understood that the elevator risk category assessment strategy refers to the assessment strategy used to evaluate the risk category and determine whether protective measures need to be taken to reduce the risk. The elevator risk assessment result refers to the risk category of the elevator suffering from pitting corrosion failure and the assessment result of taking protective measures, including the elevator fault assessment result, the elevator re-inspection assessment result, and the elevator safety assessment result, etc.

[0105] In specific implementation, once the risk level is evaluated, a risk assessment can be carried out to determine whether protective measures need to be taken to reduce the risk. Based on the evaluated risk level, the risk is assessed by determining the corresponding "risk category". Specifically, as shown in Table 6.

[0106] Table 6:

[0107]

[0108] In a feasible implementation manner, step S40 may include steps B11 to B13:

[0109] Step B11: When the elevator risk level is a first-class risk level, determine the elevator risk assessment result as the elevator fault assessment result based on the elevator risk category assessment strategy;

[0110] It can be understood that the first-class risk level includes risk levels 1A 1 , 1B 1 , 1C 1 , 2A 1 , 3A 1 , and the elevator fault assessment result refers to the assessment result that the elevator has a fault and needs to stop using the elevator immediately.

[0111] In specific implementation, when the risk level of the elevator suffering from pitting corrosion failure belongs to Class I risk, it indicates that the elevator needs to be stopped using immediately and the failed components need to be replaced. Then, according to the assessment strategy used to evaluate the risk category and determine whether protective measures need to be taken to reduce the risk, the elevator risk assessment result is determined as the assessment result that the elevator has a fault and needs to stop using immediately. That is, when the risk of the elevator suffering from pitting corrosion failure reaches Class I risk, it is necessary to take measures to stop using the elevator immediately and the worm wheel or worm must be replaced.

[0112] Step B12: When the elevator risk level is a second-class risk level, determine the elevator risk assessment result as the elevator re-inspection assessment result based on the elevator risk category assessment strategy;

[0113] It can be understood that the second-class risk level includes risk levels 2B 1 , 2C1 , 3B 1 , 3C 1 , 4A 1 , the elevator re - inspection and evaluation result refers to the evaluation result of whether it is appropriate to further take protective measures after the elevator needs to be re - inspected.

[0114] In specific implementation, when the risk level of pitting failure of the elevator belongs to Class II risk, it indicates that appropriate measures need to be taken to reduce the risk and incorporated into dynamic risk control. Then, according to the evaluation strategy for evaluating the risk category and deciding whether protective measures are needed to reduce the risk, the elevator risk assessment result is the evaluation result of whether it is appropriate to further take protective measures after the elevator needs to be re - inspected. That is, when the risk of pitting failure of the elevator reaches Class II risk, a re - inspection is required. After considering the practicality of the solution and social value, it is determined whether it is appropriate to further take protective measures. For example, when necessary, special tooth surface dressing can be used to reduce initial pitting, or the load and speed during the running - in period can be reduced to reduce initial pitting.

[0115] In a feasible implementation manner, step B12 may include steps C11 - C13:

[0116] Step C11, dynamically monitor the elevator to be evaluated based on the elevator monitoring period to obtain elevator monitoring images;

[0117] It can be understood that the elevator monitoring period refers to the period for dynamically monitoring the pitting failure state of the elevator. For example, the period duration is one week or one month, etc. The elevator monitoring image refers to the pitting image collected by dynamically monitoring the pitting failure state of the elevator.

[0118] In specific implementation, based on the period for dynamically monitoring the pitting failure state of the elevator, the elevator to be evaluated is dynamically monitored, that is, the image of the turbine pitting state is collected, and then the pitting image collected by dynamically monitoring the pitting failure state of the elevator is obtained.

[0119] Step C12, perform state evaluation based on the turbine pitting failure evaluation strategy and the elevator monitoring image to obtain the current state level;

[0120] It can be understood that the current state level refers to the severity of the turbine pitting failure during dynamic monitoring.

[0121] In specific implementation, by performing image recognition on the pitting image collected by dynamically monitoring the pitting failure state of the elevator, information such as the pitting thickness of the gear, the pitting area of the tooth surface, and the diameter of the pitting size and shape is obtained. Then, through the evaluation strategy for the severity of the turbine pitting failure, the information such as the pitting thickness of the gear, the pitting area of the tooth surface, and the diameter of the pitting size and shape is evaluated to determine the severity of the turbine pitting failure during dynamic monitoring.

[0122] Step C13, when the current state level is the first state level, determine that the elevator risk level is a type-I risk level.

[0123] It can be understood that the first state level refers to a high severity of worm wheel pitting failure.

[0124] In a specific implementation, in this embodiment, the surface wear and pitting of the worm wheel in the speed reducer are dynamically monitored monthly. If pitting expansion is continuously found twice (including twice or more) or reaches the failure level 1 (i.e., high severity), the risk level is upgraded to category I, that is, the elevator risk level is determined to be a type-I risk.

[0125] Step B13, when the elevator risk level is a type-III risk level, determine the elevator risk assessment result as the elevator safety assessment result based on the elevator risk category assessment strategy.

[0126] It can be understood that the type-III risk level includes risk levels 4B 1 and 4C 1 The elevator safety assessment result refers to the result of assessing that the elevator is in a safe state.

[0127] In a specific implementation, when the risk level of worm wheel pitting failure in the elevator belongs to category III risk, it indicates that no immediate action is required for the time being, and it is included in the dynamic risk control. Then, according to the assessment strategy for evaluating the risk category and deciding whether protective measures need to be taken to reduce the risk, the elevator risk assessment result is determined as the result of assessing that the elevator is in a safe state.

[0128] It should be noted that in this embodiment, dynamic risk control is carried out for pitting failure, specifically as follows:

[0129] 1) When reaching the type-I risk, it is necessary to immediately stop using the elevator and replace the worm wheel or worm shaft.

[0130] 2) When reaching the type-II risk, a review is required. After considering the practicality of the solution and social value, determine whether it is appropriate to further take protective measures:

[0131] a. When necessary, special tooth surface dressing can be used to reduce initial pitting, or the load and speed during the running-in period can be reduced to reduce initial pitting.

[0132] b. Regularly replace the lubricating oil that meets the usage requirements in strict accordance with the requirements of the operation and maintenance manual, and regularly check that there is sufficient lubricating oil for the worm wheel and worm shaft during operation.

[0133] c. Use the information technology means of "paperless maintenance", dynamically monitor the surface wear and pitting of the worm wheel in the speed reducer monthly. If pitting expansion is continuously found twice (including twice or more) or reaches the failure level 1, the risk level is upgraded to category I.

[0134] 3) When reaching Class III risk, a review is required. Using information technology means for "paperless maintenance", dynamically monitor the surface wear and pitting of the worm gear in the speed reducer every quarter. If pitting expansion occurs twice (including twice) or reaches the failure level 2, the risk level is upgraded to Class II.

[0135] It should be noted that, as Figure 9 shown, in this embodiment, the risk assessment of pitting failure of the worm gear teeth of the asynchronous host includes procedures such as establishing an evaluation team, determining the risk failure level, analyzing the risk probability, determining the risk category, and issuing a risk assessment conclusion.

[0136] In this embodiment, data analysis is performed based on historical pitting data and elevator-related data, and an elevator failure assessment strategy is formulated according to the analysis results; the pitting failure of the elevator to be evaluated is evaluated according to the elevator failure assessment strategy to obtain the turbine state level and the turbine failure probability level; the elevator risk level is determined according to the turbine state level and the turbine failure probability level; category evaluation is performed based on the elevator risk category evaluation strategy and the elevator risk level to obtain the elevator risk assessment result. By the above method, it not only helps to timely discover potential failure risks, formulate maintenance strategies in advance, and avoid the serious consequences brought by sudden equipment failures, but also can effectively reduce maintenance costs, extend the service life of equipment, improve the reliability and economy of industrial production, and promote the steady development of various industries.

[0137] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar content as the above-mentioned embodiment one can be referred to the above introduction and will not be repeated hereinafter. On this basis, please refer to Figure 10 , in the elevator risk assessment method, step S20 further includes steps S21 to S23:

[0138] Step S21, determine the turbine pitting failure assessment strategy and the turbine failure probability assessment strategy according to the elevator failure assessment strategy;

[0139] It can be understood that the strategy for quantitatively evaluating the pitting failure of the elevator is analyzed. The strategy for quantitatively evaluating the pitting failure of the elevator includes the turbine failure probability assessment strategy and the turbine pitting failure assessment strategy, and then the turbine pitting failure assessment strategy and the turbine failure probability assessment strategy are obtained.

[0140] Step S22, perform a status assessment on the elevator to be evaluated based on the turbine pitting failure assessment strategy to obtain the turbine state level;

[0141] It can be understood that the state of the pitting thickness, pitting area of the tooth surface, and pitting size and shape diameter of the gear of the elevator to be evaluated is evaluated through the evaluation strategy of the severity of worm wheel pitting failure, and then the severity of worm wheel pitting failure is determined. For example, when the thickness reduction caused by gear pitting reaches 5%-10% or more (including locally); the pitting area of the tooth surface exceeds 5%-20% of the working area of the tooth; the oil leakage area at the protruding end of the worm shaft exceeds 25 cm2 per hour; the worm wheel is slightly loose; the pitting size and shape diameter is greater than 4 mm and less than 7 mm or the diagonal of the polygon is greater than 4 mm and less than 7 mm, the severity of worm wheel pitting failure is determined to be 3 - low.

[0142] In a feasible implementation manner, step S22 may include steps D11 to D13:

[0143] Step D11, performing state monitoring on the elevator to be evaluated to obtain a gear pitting image;

[0144] It can be understood that the gear pitting image refers to the state image of gear pitting failure.

[0145] In specific implementation, when evaluating the severity of worm wheel pitting failure, state monitoring is performed on the elevator to be evaluated, and then the state image of gear pitting failure is collected to obtain a gear pitting image.

[0146] Step D12, identifying the gear pitting image to obtain the gear thickness, pitting area, and pitting shape dimensions;

[0147] It can be understood that the gear thickness refers to the pitting thickness of the gear, the pitting area refers to the pitting area of the tooth surface, and the pitting shape dimensions refer to the pitting size and shape diameter.

[0148] In specific implementation, based on the image recognition algorithm, the state image of gear pitting failure is recognized for pitting failure, and then the gear pitting thickness, pitting area of the tooth surface, and pitting size and shape diameter are determined according to the recognition result.

[0149] Step D13, performing state evaluation on the gear thickness, the pitting area, and the pitting shape dimensions based on the worm wheel pitting failure evaluation strategy to obtain the worm wheel state level.

[0150] In specific implementation, a state assessment is performed on the pitting thickness of the gear, the tooth surface pitting area, and the pitting size and shape diameter through the assessment strategy for the severity of worm wheel pitting failure, that is, the reduction value of the thickness caused by gear pitting, the percentage of the tooth surface pitting area exceeding the working area of the gear, and the size of the pitting size and shape diameter are evaluated to determine the severity of worm wheel pitting failure. For example, the thickness reduction caused by gear pitting reaches 10%-15% (including local); the tooth surface pitting area exceeds 20%-50% of the working area of the tooth; the minimum pitting pit size reaches 0.2 module; the pitting size and shape diameter is greater than 7 mm and less than 10 mm or the diagonal of a polygon is greater than 7 mm and less than 10 mm, that is, the severity is determined to be 2 - medium.

[0151] Step S23, perform a probability assessment on the elevator to be evaluated based on the turbine failure probability assessment strategy to obtain the turbine failure probability level.

[0152] In specific implementation, a probability assessment is performed on the probability levels of the whole elevator manufacturing unit and the drive motor manufacturing unit of the elevator to be evaluated through the probability level assessment strategy for worm wheel failure, that is, the combined probability level of the probability levels of the whole elevator manufacturing unit and the drive motor manufacturing unit is evaluated, and then the probability level of worm wheel failure is determined.

[0153] In a feasible implementation manner, step S23 may include steps E11 to E13:

[0154] Step E11, perform a probability calculation on the elevator to be evaluated according to the preset elevator database to obtain the whole elevator probability level and the drive host probability level;

[0155] It can be understood that the preset elevator database refers to the database of different whole elevator manufacturing manufacturers and different drive host manufacturers in pitting failure. The whole elevator probability level refers to the probability level of the whole elevator manufacturing unit, and the drive host probability level refers to the probability level of the drive host manufacturing unit.

[0156] In specific implementation, based on the database of different whole elevator manufacturing manufacturers and different drive host manufacturers in pitting failure, a probability calculation is performed on the whole elevator manufacturing manufacturer and the drive host manufacturer of the elevator to be evaluated, and then the probability levels of the whole elevator manufacturing unit and the drive host manufacturing unit are determined.

[0157] Step E12, determine the elevator combined probability according to the whole elevator probability level and the drive host probability level;

[0158] It can be understood that the probability levels of the whole elevator manufacturing unit and the drive host manufacturing unit are combined and calculated to determine the combined probability of the whole elevator manufacturing unit and the drive host manufacturing unit, that is, the elevator combined probability.

[0159] Step E13: Obtain the turbine failure probability level according to the turbine failure probability assessment strategy and the elevator combination probability.

[0160] In a specific implementation, the combination probability of the whole elevator manufacturing unit and the drive host manufacturing unit of the elevator to be evaluated is probabilistically evaluated through the probability level assessment strategy of worm gear failure, and then the probability level of worm gear failure is determined. For example, the probability level of the whole elevator manufacturing unit is A1, and the probability level of the drive host manufacturing unit is B1. Then the combination probability of the whole elevator manufacturing unit and the drive host manufacturing unit is C(A1 + B1), and the probability level of worm gear failure is determined as frequent A through the probability level assessment strategy of worm gear failure (as shown in Table 4). 1 。

[0161] In this embodiment, the probability calculation of the elevator to be evaluated is performed according to the preset elevator database to obtain the whole elevator probability level and the drive host probability level; the elevator combination probability is determined according to the whole elevator probability level and the drive host probability level; the turbine failure probability level is obtained according to the turbine failure probability assessment strategy and the elevator combination probability. In the above manner, the pitting evaluation is quantified, combined with big data analysis and the dynamic management of pitting risk, to form a dynamic risk evaluation index, which can not only effectively monitor the risk, but also facilitate the formulation of effective maintenance strategies, effectively reduce the maintenance cost, and extend the service life of the equipment.

[0162] It should be noted that the above examples are only for understanding the present application and do not constitute a limitation on the elevator risk assessment method of the present application. Based on this technical concept, more forms of simple transformations are within the protection scope of the present application.

[0163] The present application also provides an elevator risk assessment device. Please refer to Figure 11 The elevator risk assessment device includes:

[0164] Analysis module 10, configured to perform data analysis based on historical pitting data and elevator association data, and formulate an elevator failure assessment strategy according to the analysis results;

[0165] Evaluation module 20, configured to perform pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy, and obtain the turbine state level and the turbine failure probability level;

[0166] The evaluation module 20 is further configured to determine the elevator risk level according to the turbine state level and the turbine failure probability level;

[0167] The evaluation module 20 is further configured to perform category evaluation based on the elevator risk category assessment strategy and the elevator risk level to obtain the elevator risk assessment result.

[0168] Optionally, the evaluation module 20 is further configured to:

[0169] When the elevator risk level is a first - class risk level, the elevator risk assessment result is determined as the elevator failure assessment result based on the elevator risk category assessment strategy;

[0170] When the elevator risk level is a second - class risk level, the elevator risk assessment result is determined as the elevator re - inspection assessment result based on the elevator risk category assessment strategy;

[0171] When the elevator risk level is a third - class risk level, the elevator risk assessment result is determined as the elevator safety assessment result based on the elevator risk category assessment strategy.

[0172] Optionally, the evaluation module 20 is further configured to:

[0173] Perform dynamic monitoring on the elevator to be evaluated based on the elevator monitoring period to obtain an elevator monitoring image;

[0174] Perform a status assessment based on the turbine pitting failure assessment strategy and the elevator monitoring image to obtain the current status level;

[0175] When the current status level is the first status level, determine that the elevator risk level is the first - class risk level.

[0176] Optionally, the evaluation module 20 is further configured to:

[0177] Determine the turbine pitting failure assessment strategy and the turbine failure probability assessment strategy according to the elevator failure assessment strategy;

[0178] Perform a status assessment on the elevator to be evaluated based on the turbine pitting failure assessment strategy to obtain the turbine status level;

[0179] Perform a probability assessment on the elevator to be evaluated based on the turbine failure probability assessment strategy to obtain the turbine failure probability level.

[0180] Optionally, the evaluation module 20 is further configured to:

[0181] Perform status monitoring on the elevator to be evaluated to obtain a gear pitting image;

[0182] Identify the gear pitting image to obtain the gear thickness, pitting area, and pitting shape dimensions;

[0183] Perform a status assessment on the gear thickness, pitting area, and pitting shape dimensions based on the turbine pitting failure assessment strategy to obtain the turbine status level.

[0184] Optionally, the evaluation module 20 is further configured to:

[0185] Perform probability calculation on the elevator to be evaluated according to the preset elevator database to obtain the overall machine probability level and the drive host probability level;

[0186] Determine the elevator combined probability according to the overall machine probability level and the drive host probability level;

[0187] Obtain the turbine failure probability level according to the turbine failure probability evaluation strategy and the elevator combined probability.

[0188] Optionally, the analysis module 10 is further configured to:

[0189] Perform data analysis based on historical pitting data and elevator association data, and perform quantitative processing on the initial failure probability evaluation strategy according to the analysis results to obtain the turbine pitting failure evaluation strategy;

[0190] Perform data analysis based on historical pitting data and elevator association data, and perform division of the combined probability level ratio according to the analysis results to obtain the turbine failure probability evaluation strategy;

[0191] Obtain the elevator failure evaluation strategy according to the turbine failure probability evaluation strategy and the turbine failure probability evaluation strategy.

[0192] The elevator risk assessment device provided by the present application adopts the elevator risk assessment method in the above embodiment, and can solve the technical problem that the existing technical standard for the evaluation method of worm gear tooth surface pitting failure is too vague to accurately guide the inspection. Compared with the prior art, the beneficial effects of the elevator risk assessment device provided by the present application are the same as those of the elevator risk assessment method provided by the above embodiment, and other technical features in the elevator risk assessment device are the same as those disclosed in the method of the above embodiment, and will not be described in detail here.

[0193] The present application provides an elevator risk assessment device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein, the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the elevator risk assessment method in the first embodiment above.

[0194] Next, refer to Figure 12, which shows a schematic structural diagram of an elevator risk assessment device suitable for implementing the embodiments of the present application. The elevator risk assessment device in the embodiments of the present application may include, but is not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), in-vehicle terminals (such as in-vehicle navigation terminals), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 12 The shown elevator risk assessment device is merely an example and should not impose any limitations on the functions and usage scope of the embodiments of the present application.

[0195] As Figure 12 shown, the elevator risk assessment device may include a processing device 1001 (such as a central processing unit, a graphics processing unit, etc.), which may perform various appropriate actions and processes according to the program stored in the read-only memory (ROM: Read Only Memory) 1002 or the program loaded from the storage device 1003 into the random access memory (RAM: Random Access Memory) 1004. In the RAM 1004, various programs and data required for the operation of the elevator risk assessment device are also stored. The processing device 1001, the ROM 1002, and the RAM 1004 are connected to each other through a bus 1005. The input / output (I / O) interface 1006 is also connected to the bus. Generally, the following systems may be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touchpad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, magnetic tapes, hard disks, etc.; and a communication device 1009. The communication device 1009 may allow the elevator risk assessment device to communicate with other devices wirelessly or wiredly to exchange data. Although the figure shows an elevator risk assessment device with various systems, it should be understood that it is not required to implement or have all the shown systems. More or fewer systems may be alternatively implemented or had.

[0196] In particular, according to the embodiments disclosed in the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program codes for executing the methods shown in the flowcharts. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by a processing device 1001, the above functions defined in the methods of the embodiments disclosed in the present application are executed.

[0197] The elevator risk assessment device provided by the present application adopts the elevator risk assessment method in the above embodiments, and can solve the technical problem that the existing technical standards for the evaluation method of worm gear tooth surface pitting failure are too vague to accurately guide the inspection. Compared with the prior art, the beneficial effects of the elevator risk assessment device provided by the present application are the same as those of the elevator risk assessment method provided by the above embodiments, and other technical features in the elevator risk assessment device are the same as the features disclosed in the method of the previous embodiment, and will not be described in detail here.

[0198] It should be understood that the various parts disclosed in the present application can be implemented by hardware, software, firmware, or a combination thereof. In the description of the above embodiments, specific features, structures, materials, or characteristics can be combined in a suitable manner in any one or more embodiments or examples.

[0199] As described above, the above are only specific embodiments of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed in the present application, and all of them should be covered by the protection scope of the present application. Therefore, the protection scope of the present application should be subject to the protection scope of the claims.

[0200] The present application provides a computer-readable storage medium, having computer-readable program instructions (i.e., computer programs) stored thereon, and the computer-readable program instructions are used to execute the elevator risk assessment method in the above embodiments.

[0201] The computer-readable storage medium provided by the present application may, for example, be a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices, or components, or any combination of the above. More specific examples of the computer-readable storage medium may include, but are not limited to: electrical connections with one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM) or flash memory, optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or component. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0202] The above computer-readable storage medium may be included in the elevator risk assessment device; or it may exist separately and not be assembled into the elevator risk assessment device.

[0203] The above computer-readable storage medium carries one or more programs, and when the one or more programs are executed by the elevator risk assessment device, the elevator risk assessment device is caused to: perform data analysis based on historical pitting data and elevator association data, and formulate an elevator failure assessment strategy according to the analysis results; perform pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy to obtain a turbine status level and a turbine failure probability level; determine the elevator risk level according to the turbine status level and the turbine failure probability level; perform category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain an elevator risk assessment result.

[0204] Computer program code for performing the operations of this application can be written in one or more programming languages or combinations thereof. The above-mentioned programming languages include object-oriented programming languages such as Java, Smalltalk, C++, and also include conventional procedural programming languages such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, executed as an independent software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer can be connected to the user's computer through any kind of network, including a local area network (LAN: Local Area Network) or a wide area network (WAN: Wide Area Network), or it can be connected to an external computer (for example, by connecting through the Internet using an Internet service provider).

[0205] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architectures, functions, and operations of systems, methods, and computer program products according to various embodiments of this application. In this regard, each block in the flowchart or block diagram may represent a module, a program segment, or a part of code that contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the blocks may occur in a different order than marked in the accompanying drawings. For example, two consecutively represented blocks may actually be executed substantially in parallel, and they may sometimes be executed in the reverse order, depending on the functions involved. It should also be noted that each block in the block diagram and / or flowchart, as well as combinations of blocks in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system for performing the specified functions or operations, or can be implemented by a combination of dedicated hardware and computer instructions.

[0206] The modules involved in the embodiments described in this application can be implemented in software or in hardware. Among them, the name of the module does not constitute a limitation to the unit itself in some cases.

[0207] The readable storage medium provided by this application is a computer-readable storage medium. The computer-readable storage medium stores computer-readable program instructions (i.e., computer programs) for performing the above-mentioned elevator risk assessment method, and can solve the technical problem that the existing technical standards for the evaluation method of worm gear tooth surface pitting failure are too vague to accurately guide inspections. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by this application are the same as those of the elevator risk assessment method provided in the above embodiments, and will not be elaborated here.

[0208] The present application also provides a computer program product, including a computer program which, when executed by a processor, implements the steps of the elevator risk assessment method as described above.

[0209] The computer program product provided by the present application can solve the technical problem that the existing technical standards for the evaluation method of worm gear tooth surface pitting failure are too vague to accurately guide the inspection. Compared with the prior art, the beneficial effects of the computer program product provided by the present application are the same as those of the elevator risk assessment method provided by the above embodiments, and will not be elaborated here.

[0210] The above are only partial embodiments of the present application, and thus do not limit the patent scope of the present application. Any equivalent structural transformation made under the technical concept of the present application by using the content of the specification and drawings of the present application, or any direct / indirect application in other related technical fields, is included in the patent protection scope of the present application.

Claims

1. An elevator risk assessment method, characterized in that, The elevator risk assessment method includes: Performing data analysis based on historical pitting data and elevator associated data, and formulating an elevator failure assessment strategy according to the analysis results; Performing pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy, and obtaining a turbine status level and a turbine failure probability level; Determining the elevator risk level according to the turbine status level and the turbine failure probability level; Performing category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain an elevator risk assessment result.

2. The method according to claim 1, wherein The step of performing category assessment based on the elevator risk category assessment strategy and the elevator risk level to obtain an elevator risk assessment result includes: When the elevator risk level is a first-class risk level, determining the elevator risk assessment result as an elevator failure assessment result based on the elevator risk category assessment strategy; When the elevator risk level is a second-class risk level, determining the elevator risk assessment result as an elevator review assessment result based on the elevator risk category assessment strategy; When the elevator risk level is a third-class risk level, determining the elevator risk assessment result as an elevator safety assessment result based on the elevator risk category assessment strategy.

3. The method according to claim 2, wherein After the step of, when the elevator risk level is a second-class risk level, determining the elevator risk assessment result as an elevator review assessment result based on the elevator risk category assessment strategy, it further includes: Performing dynamic monitoring on the elevator to be evaluated based on the elevator monitoring period to obtain an elevator monitoring image; Performing status assessment based on the turbine pitting failure assessment strategy and the elevator monitoring image to obtain a current status level; When the current status level is a first status level, determining the elevator risk level as a first-class risk level.

4. The method according to claim 1, characterized in that, The step of performing pitting failure assessment on the elevator to be evaluated according to the elevator failure assessment strategy to obtain a turbine status level and a turbine failure probability includes Determining a turbine pitting failure assessment strategy and a turbine failure probability assessment strategy according to the elevator failure assessment strategy; Performing status assessment on the elevator to be evaluated based on the turbine pitting failure assessment strategy to obtain a turbine status level; Performing probability assessment on the elevator to be evaluated based on the turbine failure probability assessment strategy to obtain a turbine failure probability level.

5. The method according to claim 4, wherein The step of performing status assessment on the elevator to be evaluated based on the turbine pitting failure assessment strategy to obtain a turbine status level includes: Performing status monitoring on the elevator to be evaluated to obtain a gear pitting image; Identifying the gear pitting image to obtain the gear thickness, pitting area, and pitting shape dimensions; Performing status assessment on the gear thickness, pitting area, and pitting shape dimensions based on the turbine pitting failure assessment strategy to obtain a turbine status level.

6. The method according to claim 4, wherein The step of performing probability assessment on the elevator to be evaluated based on the turbine failure probability assessment strategy to obtain a turbine failure probability level includes: Performing probability calculation on the elevator to be evaluated according to a preset elevator database to obtain an overall machine probability level and a drive host probability level; Determining an elevator combined probability according to the overall machine probability level and the drive host probability level; Obtaining a turbine failure probability level according to the turbine failure probability assessment strategy and the elevator combined probability.

7. The method according to claim 1, characterized in that The steps of performing data analysis based on historical pitting data and elevator correlation data and formulating an elevator failure assessment strategy according to the analysis results include: Performing data analysis based on historical pitting data and elevator correlation data, and quantifying the initial failure probability assessment strategy according to the analysis results to obtain a turbine pitting failure assessment strategy; Performing data analysis based on historical pitting data and elevator correlation data, and dividing the combined probability level ratio according to the analysis results to obtain a turbine failure probability assessment strategy; Obtaining an elevator failure assessment strategy according to the turbine failure probability assessment strategy and the turbine failure probability assessment strategy.

8. An elevator risk assessment device, characterized in that, The device includes: An analysis module, configured to perform data analysis based on historical pitting data and elevator correlation data, and formulate an elevator failure assessment strategy according to the analysis results; An evaluation module, configured to perform pitting failure evaluation on the elevator to be evaluated according to the elevator failure assessment strategy, and obtain a turbine status level and a turbine failure probability level; The evaluation module is further configured to determine the elevator risk level according to the turbine status level and the turbine failure probability level; The evaluation module is further configured to perform category evaluation based on the elevator risk category evaluation strategy and the elevator risk level to obtain an elevator risk assessment result.

9. An elevator risk assessment device, characterized in that, The device includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, where the computer program is configured to implement the steps of the elevator risk assessment method according to any one of claims 1 to 7.

10. A storage medium, characterized in that, The storage medium is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by a processor, it implements the steps of the elevator risk assessment method according to any one of claims 1 to 7.

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