CN117538643A - Elevator component detection method, device, electronic equipment and storage medium - Google Patents

Elevator component detection method, device, electronic equipment and storage medium Download PDF

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CN117538643A
CN117538643A CN202311488981.4A CN202311488981A CN117538643A CN 117538643 A CN117538643 A CN 117538643A CN 202311488981 A CN202311488981 A CN 202311488981A CN 117538643 A CN117538643 A CN 117538643A
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detection
elevator component
elevator
value
indicators
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梁德阳
唐其伟
李良
江荣钿
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Hitachi Building Technology Guangzhou Co Ltd
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Hitachi Building Technology Guangzhou Co Ltd
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/20—Administration of product repair or maintenance
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01M—TESTING STATIC OR DYNAMIC BALANCE OF MACHINES OR STRUCTURES; TESTING OF STRUCTURES OR APPARATUS, NOT OTHERWISE PROVIDED FOR
    • G01M13/00—Testing of machine parts
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R19/00—Arrangements for measuring currents or voltages or for indicating presence or sign thereof
    • G01R19/165—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02P—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00—Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/30—Computing systems specially adapted for manufacturing

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  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Indicating And Signalling Devices For Elevators (AREA)
  • Maintenance And Inspection Apparatuses For Elevators (AREA)

Abstract

本发明公开了一种电梯部件检测方法、装置、电子设备和存储介质，包括：获取电梯部件的多个指标的检测值，按照预置的状态影响因素组合所包括的指标对检测值分组，得到状态影响因素组合所包括的指标的检测值；确定状态影响因素组合所包括指标的检测标准，根据检测标准和检测值确定每个指标的第一检测结果，基于指标的第一检测结果确定电梯部件的第二检测结果，通过状态影响因素组合确定指标的检测标准，实现了基于电梯部件影响显著的因素对检测值进行判断生成指标的检测结果，相对于维保人员对电梯部件检测，提高了电梯部件检测的准确性和可靠性，并且能够自动采集电梯部件指标的检测值，实现自动检测电梯部件，以及时获得电梯部件的健康状态信息。

The invention discloses an elevator component detection method, device, electronic equipment and storage medium, which include: obtaining detection values of multiple indicators of elevator components, grouping the detection values according to the indicators included in the preset status influencing factor combination, and obtaining Detection values of indicators included in the combination of state influencing factors; determining detection standards for indicators included in the combination of state influencing factors, determining the first detection result of each indicator based on the detection standard and detection value, and determining elevator components based on the first detection result of the indicator The second detection result determines the detection standard of the indicator through the combination of state influencing factors, and realizes the judgment of the detection value based on the factors that have significant influence on the elevator components to generate the detection results of the indicator. Compared with the maintenance personnel's detection of the elevator components, the elevator has improved It has the accuracy and reliability of component detection, and can automatically collect the detection values of elevator component indicators, realize automatic detection of elevator components, and obtain health status information of elevator components in a timely manner.

Description

Elevator component detection method, device, electronic equipment and storage medium
Technical Field
The present invention relates to the field of equipment detection technologies, and in particular, to an elevator component detection method, an elevator component detection device, an electronic device, and a storage medium.
Background
The elevator is used as a vertical lifting transportation means in a high-rise building, and the safe and stable operation of the elevator is particularly important, so that all parts of the elevator need to be detected in order to ensure the safe and stable operation of the elevator.
The elevator is formed by a plurality of parts, each part has certain function, the performance of the elevator part can directly influence the overall performance of the elevator, the elevator has important influence on the safe and reliable operation of the elevator, and timely detection and analysis of the state of the elevator part is of great significance for early discovery of part faults and improvement of the safety of the elevator.
At present, the state detection of the elevator component is usually realized through unscheduled maintenance operation detection, however, when the maintenance operation is detected, the state of the elevator component is usually determined through the experience of a maintenance person after the maintenance person detects the elevator component, on one hand, the detection result depends on the experience of the maintenance person, the accuracy of the detection result cannot be ensured, and on the other hand, the automatic detection cannot be realized.
Disclosure of Invention
The invention provides an elevator component detection method, an elevator component detection device, electronic equipment and a storage medium, which are used for solving the problems that automatic detection cannot be carried out on elevator component detection through regular maintenance and the accuracy of detection results is low.
In a first aspect, the present invention provides a method for detecting elevator components, comprising:
acquiring detection values of a plurality of indexes of an elevator component;
grouping a plurality of detection values according to indexes included in preset state influence factor combinations to obtain detection values of the indexes included in each state influence factor combination;
determining a detection standard of an index included in each state influence factor combination;
determining a first detection result of each index according to the detection standard and the detection value;
a second detection result of the elevator component is determined based on the first detection results of the plurality of indicators.
Optionally, before obtaining the detection values of the multiple indexes of the elevator component, the method further comprises:
determining a collection period of a plurality of indexes of an elevator component, and determining a maximum collection period as a detection period of the elevator component;
judging whether detection values of all indexes of the elevator component are collected and stored in a current detection period;
if yes, a step of acquiring detection values of a plurality of indexes of the elevator component is executed.
Optionally, determining the detection criteria of the indicators included in each state impact factor combination includes:
acquiring a history detection value of the index aiming at the index included in the state influence factor combination;
And calculating the detection standard of the index according to the historical detection value.
Optionally, calculating the detection standard of the index according to the historical detection value includes:
calculating an average value, a standard deviation, a quarter-digit, and a three-quarter-digit of the historical detection values;
calculating a first sum of the average value and n times of standard deviation, and calculating a first difference of the average value and n times of standard deviation;
calculating a second difference between the three-quarter digit and the one-quarter digit, and calculating a product of the second difference and m;
calculating a second sum of the third quarter number and the product, and calculating a third difference of the third quarter number and the product;
the larger of the first sum and the second sum is determined as an upper value of the index and the smaller of the first difference and the third difference is determined as a lower value of the index.
Optionally, the detection criteria of the indicators include an upper limit value and a lower limit value, and determining the first detection result of each indicator according to the detection criteria and the detection values includes:
determining whether a detected value of each index is between a lower limit value and an upper limit value of the index;
If yes, generating a first detection result with qualified indexes;
if not, generating a first detection result of unqualified indexes.
Optionally, determining the second detection result of the elevator component based on the first detection results of the plurality of indicators includes:
calculating the ratio of the number of indexes with qualified first detection results to the total number of indexes;
judging whether the ratio is larger than a preset threshold value or not;
if so, generating a second detection result that the elevator component is in a normal state;
if not, generating a second detection result that the elevator component is in an abnormal state.
Optionally, after determining the second detection result of the elevator component based on the first detection results of the plurality of indexes, the method further comprises:
acquiring an actual state of the elevator component;
when the detection state of the elevator component in the second detection result is inconsistent with the actual state, generating a verification result that the detection result verification is not passed;
and generating a verification result for verifying passing of the detection result when the detection state of the elevator component in the second detection result is consistent with the actual state.
Optionally, after determining the second detection result of the elevator component based on the first detection results of the plurality of indexes, the method further comprises:
Generating a detection report according to the first detection result and the second detection result;
the detection report is shown.
In a second aspect, the present invention provides an elevator component detection apparatus comprising:
a detection value acquisition module for acquiring detection values of a plurality of indexes of the elevator component;
the grouping module is used for grouping a plurality of detection values according to indexes included in the preset state influence factor combinations to obtain detection values of the indexes included in each state influence factor combination;
the detection standard determining module is used for determining the detection standard of the index included in each state influence factor combination;
the index detection result determining module is used for determining a first detection result of each index according to the detection standard and the detection value;
and the elevator component detection result determining module is used for determining a second detection result of the elevator component based on the first detection results of the multiple indexes.
In a third aspect, the present invention provides an electronic device, including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores a computer program executable by the at least one processor to enable the at least one processor to perform the elevator component detection method according to any one of the first aspects of the invention.
In a fourth aspect, the present invention provides a computer readable storage medium storing computer instructions for causing a processor to perform the method for detecting an elevator component according to any one of the first aspects of the present invention.
After the detection values of the multiple indexes of the elevator component are obtained, the multiple detection values are grouped according to the indexes included in the preset state influence factor combinations, the detection values of the indexes included in each state influence factor combination are obtained, the detection standard of the indexes included in each state influence factor combination is determined, the first detection result of each index is determined according to the detection standard and the detection values, the second detection result of the elevator component is determined based on the first detection results of the multiple indexes, the detection standard of each index is determined through the state influence factor combinations, the detection results of each index are judged and generated based on the factors with obvious influence of the elevator component, and compared with the detection of the elevator component by a maintenance person, the accuracy and the reliability of elevator component detection are improved, the detection values of each index of the elevator component can be automatically acquired, the elevator component is automatically detected, and the health state information of the elevator component can be timely obtained.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of an elevator component detection method according to an embodiment of the present invention;
fig. 2 is a flowchart of an elevator component detecting method according to a second embodiment of the present invention;
fig. 3 is a schematic structural view of an elevator component detecting apparatus according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
Example 1
Fig. 1 is a flowchart of an elevator component detecting method according to a first embodiment of the present invention, where the method may be applied to detecting a state of an elevator component, and the method may be performed by an elevator component detecting device, and the elevator component detecting device may be implemented in a form of hardware and/or software and may be configured in an electronic device. As shown in fig. 1, the elevator component detection method includes:
s101, detecting values of a plurality of indexes of the elevator component are obtained.
In this embodiment, the elevator component may be an inner elevator call board, an outer elevator call board, a host frequency converter, an interphone, a camera, a band-type brake module, and other components in an elevator, and the indicator of the elevator component may be data for detecting the state of the elevator component, and exemplary, the indicator may be an electrical parameter, a motion characteristic parameter, a temperature, and the like of the elevator component during operation, where the electrical parameter may be current, voltage, power, the motion characteristic parameter may include a rotation speed, acceleration, speed, and the like, different elevator components, the detected indicator may be different, and the detected value may be a value of each detected indicator, for example, when the indicator is current, the detected value may be a current value, and when the indicator is voltage, the detected value may be a voltage value.
In this embodiment, a plurality of indexes of the elevator component may be detected according to a preset period, and detection values of the plurality of indexes may be obtained, where detection periods of different indexes may be the same or different, and after detection of the detection values of the plurality of indexes, the detection values may be stored in a database, so that when the system time reaches the detection period of the elevator component, the detection values of the respective indexes are read from the database.
S102, grouping a plurality of detection values according to indexes included in the preset state influence factor combinations to obtain detection values of the indexes included in each state influence factor combination.
The state influencing factor combination may be a combination of factors having a significant influence on judging whether the indicator is qualified, in one example, the state influencing factor combination may include at least one of a plurality of factors such as a model number, a rated current, a rated voltage, an ambient temperature, an ambient humidity, etc. of the elevator component, and the indicator is taken as an example.
In this embodiment, for each elevator component, the correspondence between the state influencing factors and the indexes may be preconfigured to group the plurality of detection values of the elevator component according to the state influencing factor combinations, so as to obtain the detection values of the indexes included in each state influencing factor combination.
S103, determining detection standards of indexes included in each state influence factor combination.
For the index included in each state influencing factor combination, in one embodiment, the detection standard of the index can be determined according to the design parameters of the elevator component, for example, when the index is working current for a host frequency converter of a certain model, the upper limit value and the lower limit value of the working current can be determined from the design parameters of the host frequency converter, the index is taken as working temperature as an example, each host frequency converter is provided with a temperature range suitable for working when being designed, the temperature range is the detection standard of the working temperature, the detection standards of the indexes of different elevator components are different, and the detection standard of each index can be directly read from the stored attribute data of the elevator component.
In another embodiment, a historical detection value of an index of the elevator component can be obtained, a detection standard of the index under an influence factor in the state influence factor combination is determined through the historical detection value, an index is taken as an example, a historical working current value of a certain model of the elevator component when working at a certain environment temperature can be obtained, and a mathematical statistical analysis is carried out through the historical working current value to determine the detection standard of the working current of the state influence factor combination including the model and the environment temperature.
In a further embodiment, the detection values of the various indexes of the elevator component can be recorded into the memory after the design parameters of the elevator component are analyzed and modified by an expert, and the detection standards of the various indexes under the combination of the state influence factors can be read from the memory.
S104, determining a first detection result of each index according to the detection standard and the detection value.
After the detection standard of each index is determined, the detection value of each index can be compared with the detection standard to determine whether the detection value accords with the detection standard, if so, a first detection result with qualified indexes is generated, and if not, a first detection result with unqualified indexes is generated, so that the first detection results of a plurality of indexes of the elevator component are obtained.
S105, determining a second detection result of the elevator component based on the first detection results of the plurality of indexes.
In one embodiment, the number of indexes for which the first detection result is qualified may be counted, and when the number reaches the preset number, a second detection result for the normal state of the elevator component is generated, otherwise, a second detection result for the abnormal state of the elevator component is generated.
In another embodiment, the ratio of the number of indexes that the first detection result is acceptable to the total number of all indexes may be calculated to obtain an index pass rate, and whether the elevator component is acceptable is determined by the index pass rate to generate a second detection result of the elevator component.
After the detection values of the multiple indexes of the elevator component are obtained, the multiple detection values are grouped according to the indexes included in the preset state influence factor combinations, the detection values of the indexes included in each state influence factor combination are obtained, the detection standard of the indexes included in each state influence factor combination is determined, the first detection result of each index is determined according to the detection standard and the detection values, the second detection result of the elevator component is determined based on the first detection results of the multiple indexes, the detection standard of each index is determined through the state influence factor combinations, the detection results of each index are judged and generated based on the factors with obvious influence of the elevator component, and compared with the detection of the elevator component by a maintenance person, the accuracy and the reliability of elevator component detection are improved, the detection values of each index of the elevator component can be automatically acquired, the elevator component is automatically detected, and the health state information of the elevator component can be timely obtained.
Example two
Fig. 2 is a flowchart of an elevator component detecting method according to a second embodiment of the present invention, where the elevator component detecting method according to the first embodiment of the present invention is optimized based on the first embodiment, as shown in fig. 2, and includes:
S201, detecting values of a plurality of indexes of the elevator component are obtained.
The embodiment can firstly determine the acquisition period of a plurality of indexes of the elevator component, and determine the maximum acquisition period as the detection period of the elevator component, and in the current detection period, judge whether the detection values of the indexes of the elevator component are acquired and stored, and if so, read the detection values of the indexes of the elevator component from the memory.
Taking an elevator frequency converter as an example, the elevator frequency converter is provided with an index 1, an index 2 and an index 3, the acquisition period of the index 1 is 1 record/second, the acquisition period of the index 2 is 1 record/minute, the acquisition period of the index 3 is 1 record/day, the detection period of the elevator frequency converter is determined to be 1 day, the detection time point is a time point after the index 1, the index 2 and the index 3 are all acquired and stored every day, and the detection time point can be set to be 00:00 every day when the index 3 is acquired and stored every day and the detection values of the index 1 and the index 2 acquired last time can be read from a memory.
Of course, for different elevator components, the detection time point and the detection period can be determined by integrating the factors such as the collection period of each index, the operation characteristic of the elevator component, the data processing performance and the like, for example, the detection period is firstly larger than the collection period of each index, then the operation characteristic of the elevator component is combined, for example, the elevator component is operated according to periodical changes such as hours, days and the like, the detection period is also larger than the change period of the motion characteristic, the data processing performance again is required to meet the requirement of outputting the detection result in the detection period, the detection period and the detection time point of different elevator components are different, and the embodiment does not limit the detection period and the detection time point of the elevator component, so that the detection value is collected according to the collection period, the elevator component is detected in the detection period, and the elevator component is detected regularly.
S202, grouping a plurality of detection values according to indexes included in the preset state influence factor combinations to obtain detection values of the indexes included in each state influence factor combination.
The state influencing factor combination can be a combination of factors which have obvious influence on judging whether the index is qualified or not, and a person skilled in the art can look up the design specification of the elevator component in advance or determine a plurality of state influencing factors of the elevator component after investigation by developing personnel and technical specialists, and enter the plurality of state influencing factors into a system, and take a host frequency converter and an in-car calling board in the elevator as examples, wherein the state influencing factors are shown in the following table 1:
table 1:
in table 1, when the state of the main machine frequency converter is detected, because the frequency converters of different types are different in detection standards of various indexes of the frequency converter under different rated currents and environmental temperatures, obvious influence factors of the frequency converter include the type of the frequency converter, the rated current of the frequency converter and the environmental temperature of the position of the frequency converter, and as for the calling board in a car, the calling board is in contact with a user and is provided with keys, the circuit structure is sensitive, short-circuit leakage or false triggering of the keys on the calling board is easy when the environmental humidity is not the same, and the types of the calling boards and the environmental humidity of the environment where the calling board is located can be regarded as obvious influence factors when the waterproof grades of the calling boards of different types are different.
For a plurality of state influence factors of one component, at least one state influence factor can be extracted to generate a state influence factor combination, the state influence factor combination can correspond to at least one index, namely, influence factors in the state influence factor combination have more remarkable influence on judging whether indexes are qualified, wherein in the same elevator component, one state influence factor combination can correspond to a plurality of indexes, one index of the elevator component can only correspond to one state influence factor combination, the plurality of state influence factor combinations of the elevator component can be preset according to different elevator components, and the embodiment does not limit indexes corresponding to the state influence factor combination and the state influence factor combination.
Table 2 below shows examples of the state impact factor combinations and corresponding indicators for the host inverter and the in-car call board:
table 2:
in table 2, 3 state influencing factor combinations are preset for the host frequency converter, wherein the indexes included in the state influencing factor combination of the frequency converter model comprise index 1 and index 2, which indicate that the detection standards of index 1 and index 2 of the frequency converters of different models are different, for example, index 1 may be working current, index 2 may be working voltage, the index corresponding to the state influencing factor combination formed by the frequency converter model and rated current comprises index 3 and index 4, and exemplary, index 3 may be acceleration time, index 4 may be the base temperature of the frequency converter, that is, the detection standards of the acceleration time and the base temperature of the frequency converters of different models and different rated currents have significant differences, and other elevator components and state influencing factor combinations are similar, which are not described in detail herein.
After determining the preset state influence factor combinations for the elevator, the plurality of detection values can be grouped according to the indexes included in the preset state influence factor combinations to obtain the detection values of the indexes included in each state influence factor combination.
S203, aiming at indexes included in the state influence factor combination, acquiring a history detection value of the indexes.
In this embodiment, for each index corresponding to the state influencing factor combination, the history detection value of the index may be obtained, taking the host frequency converter in table 2 as an example, for index 1 and index 2 corresponding to the state influencing factor combination of the frequency converter model, the history detection values of index 1 and index 2 may be obtained, taking the working current of index 1 as an example, the history working current value of the frequency converter of the corresponding model may be obtained, and again taking the state influencing factor combination of the rated current and the environmental temperature of the host frequency converter in table 2 as an example, the history detection values of index 5 and index 6 when the frequency converter of the specified rated current works at the environmental temperature may be obtained.
S204, calculating the detection standard of the index according to the historical detection value.
In one embodiment, after the history detection value of each index is obtained, an average value x1, a standard deviation v1, a quartile q1, and a tertile q2 of the history detection values are calculated, a first sum value x1+v1×n of the average value x1 and n times the standard deviation v1 is calculated, and a first difference value x1-v1×n of the average value x1 and n times the standard deviation v1 is calculated, a second difference value q2-q1 of the tertile q2 and the quartile q1 is calculated, and a product (q 2-q 1) x m of the second difference value q2-q1 and m is calculated, a second sum value q2+ (q 2-q 1) x m of the quartile q2 and the product (q 2-q 1) x m is calculated, and a third difference value x1- (q 2-q 1) x m of the product (q 1-q 1) x1 and a third difference value x1- (q 2-q 1) x m is calculated, and a value x 1-q 1 x 2 x m is determined, and a value x1 x 2 x q1 x m is smaller than the index is determined.
In another embodiment, after the historical detection value can be obtained, the upper limit value and the lower limit value of the index are determined through statistical distribution analysis and various big data mining algorithms, by taking an elevator interphone as an example, the connection success rate index of the interphone host and the digital processing terminal unit can be used for interphone detection, the standard range value of the connection success rate index is [ x1, x2 ] in the initial design parameter and the expert system, the connection success rate in the specified period is subjected to the influence of state influence factors such as temperature, humidity and the like in the actual installation operation, and the big data platform performs statistical analysis, including but not limited to regression analysis, variance analysis and the like, so that the standard range value of the connection success rate influenced by the specific temperature and humidity factors is [ x3, x2 ].
According to the method and the device, the detection standard of the index is determined through the historical detection value of the index, so that the detection standard is closer to the real running environment of the elevator component, the index is judged through the detection standard, the result is more accurate, and the accuracy of detecting the state of the elevator component is improved.
S205, it is determined whether the detection value of each index is between the lower limit value and the upper limit value of the index.
After the detection criteria for each index are obtained, the upper limit value and the lower limit value of the index may be determined, the detected value of the index is compared with the upper limit value and the lower limit value, if the detected value is determined to be between the lower limit value and the upper limit value, the index is determined to be qualified, S206 is executed, and if the detected value is outside the interval formed by the lower limit value and the upper limit value, the index is determined to be unqualified, S207 is executed.
S206, generating a first detection result with qualified indexes.
Specifically, a first detection result including a mark with a qualified index may be generated, for example, the qualified mark may be text information such as "normal", "qualified", and in one embodiment, the first detection result may further include information such as a state influencing factor combination of the index, a detection standard value, a detection value, and a detection time of the index.
S207, generating a first detection result with unqualified indexes.
Specifically, a first detection result including a mark with an index unqualified may be generated, for example, the unqualified mark may be text information such as "anomaly", "NG", and the like, and in an embodiment, the first detection result may further include information such as a state influencing factor combination of the index, a detection standard value, a detection value, and a detection time of the index.
S208, calculating the ratio of the number of indexes with qualified first detection results to the total number of indexes.
After the first detection results of the indexes of the elevator component are generated, the number of indexes and the total number of indexes, of which the first detection results are qualified, can be counted, and the ratio of the number of indexes and the total number of indexes, of which the first detection results are qualified, is calculated, so that the index qualification rate is obtained.
S209, judging whether the ratio is larger than a preset threshold value.
If the ratio of the number of the indexes qualified by the first detection result to the total number is greater than or equal to the threshold value, it is determined that the state of the elevator component is normal, S210 is executed, if the ratio is less than the threshold value, it is determined that the elevator component is abnormal, S211 is executed, where the threshold value may be 1, 0.9, 0.8, etc., different threshold values may be set according to different elevator components and indexes, and the setting of the threshold value is not limited in this embodiment.
S210, generating a second detection result that the elevator component is in a normal state.
When the condition of the elevator component is determined to be normal, the second detection result can comprise marking information of the elevator component in the normal condition, and can also comprise information such as the number of qualified indexes, the number of unqualified indexes, the state influence factor combination of each index, the detection standard value, the detection time, the index qualification rate and the like of the index.
S211, generating a second detection result that the elevator component is in an abnormal state.
When the abnormal state of the elevator component is determined, the second detection result can comprise marking information of the elevator component in the abnormal state, and can also comprise information such as the number of qualified indexes, the number of unqualified indexes, the state influence factor combination of each index, the detection standard value, the detection time, the index qualification rate and the like of the index.
In one embodiment, the actual state of the elevator component can also be obtained, when the detection state of the elevator component in the second detection result is inconsistent with the actual state, a verification result that the detection result is not verified is generated, when the detection state of the elevator component in the second detection result is consistent with the actual state, a verification result that the detection result is verified to be passed is generated, wherein the actual state can be the state of the elevator component determined by a maintenance person, if the detection state is consistent with the actual state, the set state influence factor combination, the detection standard value and the threshold value of the index qualification rate are described reasonably, the detection state is not required to be verified later, if the detection state is inconsistent with the actual state, the state influence factor combination, the detection standard value and the threshold value of the index qualification rate are described unreasonably, and parameter adjustment prompt information can be generated to prompt to adjust the state influence factor combination, the detection standard value and the threshold value of the index qualification rate, so that the detection state is consistent with the actual state is ensured, and the accuracy of the state detection of the elevator component is improved.
In yet another embodiment, a detection report may also be generated according to the first detection result and the second detection result, and the detection report may be displayed. For example, according to the state detection scenes of different elevator components, the detection results and the state information of the elevator components can be respectively displayed on different WEB pages, and the elevator components are organized and subjected to centralized visual analysis from multiple view angles, for example, an overall state detection report of the elevator components, the detection results of various indexes of the elevator components, the state periodic variation trend analysis of the elevator components and the like can be displayed. In addition, the method can analyze the health state, index qualification condition and the like of the elevator components in each system such as an elevator door system, a frequency conversion system, a calling system and the like in a specified detection period to obtain a detection report of the elevator in a specified detection period, can analyze the index qualification condition of the specified elevator components in each system such as the elevator door system and the frequency conversion system in a plurality of detection periods to perform period change analysis, or performs centralized comparison analysis and the like on the states detected by a plurality of detection periods of different elevator components, thereby realizing multi-view display of the state information of the elevator components.
According to the method, after the detection values of the multiple indexes of the elevator component are obtained, the multiple detection values are grouped according to the indexes included in the preset state influence factor combinations, the detection values of the indexes included in each state influence factor combination are obtained, the historical detection values of the indexes are obtained aiming at the indexes included in the state influence factor combinations, the detection standard of the indexes is calculated according to the historical detection values, the first detection result of each index is determined according to the detection standard and the detection values, the second detection result of the elevator component is determined according to the first detection results of the multiple indexes, the detection standard of each index is determined according to the state influence factor combinations, the detection results of each index are generated by judging each detection value based on the factors with obvious influence of the elevator component, and compared with the detection of the elevator component by a maintenance person, the accuracy and reliability of elevator component detection are improved, the detection values of each index of the elevator component can be automatically collected, the elevator component can be automatically detected, and the health state information of the elevator component can be timely obtained.
Further, a detection report is generated and displayed, visual display analysis of detection results is achieved, elevator states can be managed and checked through display of the detection report, state information and change trend of elevator components are conveniently and efficiently acquired and analyzed, and reliable basis is provided for elevator maintenance task arrangement.
Example III
Fig. 3 is a schematic structural diagram of an elevator component detecting device according to a third embodiment of the present invention. As shown in fig. 3, the elevator component detecting apparatus includes:
a detection value acquisition module 301 for acquiring detection values of a plurality of indexes of the elevator component;
the grouping module 302 is configured to group the plurality of detection values according to the indexes included in the preset state impact factor combinations, so as to obtain detection values of the indexes included in each state impact factor combination;
a detection criteria determining module 303, configured to determine a detection criteria of an index included in each state impact factor combination;
an index detection result determining module 304, configured to determine a first detection result of each index according to the detection standard and the detection value;
an elevator component detection result determination module 305 for determining a second detection result of the elevator component based on the first detection results of the plurality of indicators.
Optionally, the method further comprises:
the detection period determining module is used for determining the acquisition periods of a plurality of indexes of the elevator component and determining the maximum acquisition period as the detection period of the elevator component;
and the index acquisition judging module is used for judging whether the detection values of the indexes of the elevator component are acquired and stored in the current detection period, and if so, executing the detection value acquisition module 301.
Optionally, the detection criteria determination module 303 includes:
a history detection value obtaining unit, configured to obtain a history detection value of an index included in the state impact factor combination for the index;
and the detection standard calculation unit is used for calculating the detection standard of the index according to the historical detection value.
Optionally, the detection criterion calculating unit includes:
a first calculation subunit for calculating an average value, a standard deviation, a quarter-digit, and a three-quarter-digit of the history detection values;
a second calculating subunit, configured to calculate a first sum of the average value and n times of standard deviation, and calculate a first difference of the average value and n times of standard deviation;
a third calculation subunit, configured to calculate a second difference between the third quarter-digit and the quarter-digit, and calculate a product of the second difference and m;
a fourth calculation subunit for calculating a second sum of the third quarter-digit and the product, and calculating a third difference of the third quarter-digit and the product;
an upper and lower limit determination subunit configured to determine a larger value of the first sum value and the second sum value as an upper limit value of the index, and a smaller value of the first difference value and the third difference value as a lower limit value of the index.
Optionally, the indicator detection result determining module 304 includes:
a detection value judging unit, configured to determine whether a detection value of each index is between a lower limit value and an upper limit value of the index, if so, execute the qualified detection result generating unit, and if not, execute the unqualified detection result generating unit;
a qualified detection result generating unit, configured to generate a first detection result that the index is qualified;
and the unqualified detection result generating unit is used for generating a first detection result of unqualified indexes.
Optionally, the elevator component detection result determining module 305 includes:
the ratio calculating unit is used for calculating the ratio of the number of indexes with qualified first detection results to the total number of indexes;
the ratio judging unit is used for judging whether the ratio is larger than a preset threshold value, if so, executing the normal detection result generating unit of the elevator component, and if not, executing the abnormal detection result generating unit of the elevator component;
a normal detection result generating unit of the elevator component is used for generating a second detection result of the elevator component in a normal state;
and the elevator component abnormality detection result generation unit is used for generating a second detection result of the elevator component in an abnormal state.
Optionally, the method further comprises:
the elevator component actual state acquisition module is used for acquiring the actual state of the elevator component;
the verification passing result generation module is used for generating a verification result that the detection result verification is not passed when the detection state of the elevator component in the second detection result is inconsistent with the actual state;
and the verification failure result generation module is used for generating a verification result for verifying the passing of the detection result when the detection state of the elevator component in the second detection result is consistent with the actual state.
Optionally, the method further comprises:
the detection report generation module is used for generating a detection report according to the first detection result and the second detection result;
and the detection report display module is used for displaying the detection report.
The elevator component detection device provided by the embodiment of the invention can execute the elevator component detection method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 4 shows a schematic diagram of an electronic device 40 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 4, the electronic device 40 includes at least one processor 41, and a memory communicatively connected to the at least one processor 41, such as a Read Only Memory (ROM) 42, a Random Access Memory (RAM) 43, etc., in which the memory stores a computer program executable by the at least one processor, and the processor 41 may perform various suitable actions and processes according to the computer program stored in the Read Only Memory (ROM) 42 or the computer program loaded from the storage unit 48 into the Random Access Memory (RAM) 43. In the RAM 43, various programs and data required for the operation of the electronic device 40 may also be stored. The processor 41, the ROM 42 and the RAM 43 are connected to each other via a bus 44. An input/output (I/O) interface 45 is also connected to bus 44.
Various components in electronic device 40 are connected to I/O interface 45, including: an input unit 46 such as a keyboard, a mouse, etc.; an output unit 47 such as various types of displays, speakers, and the like; a storage unit 48 such as a magnetic disk, an optical disk, or the like; and a communication unit 49 such as a network card, modem, wireless communication transceiver, etc. The communication unit 49 allows the electronic device 40 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 41 may be various general and/or special purpose processing components with processing and computing capabilities. Some examples of processor 41 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 41 performs the various methods and processes described above, such as the elevator component detection method.
In some embodiments, the elevator component detection method may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 48. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 40 via the ROM 42 and/or the communication unit 49. When the computer program is loaded into RAM 43 and executed by processor 41, one or more steps of the elevator component detection method described above may be performed. Alternatively, in other embodiments, the processor 41 may be configured to perform the elevator component detection method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above can be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), complex Programmable Logic Devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (11)

1.一种电梯部件检测方法，其特征在于，包括：1. An elevator component detection method, characterized by comprising: 获取电梯部件的多个指标的检测值；Obtain detection values of multiple indicators of elevator components; 按照预置的状态影响因素组合所包括的指标对多个检测值分组，得到每个状态影响因素组合所包括的指标的检测值；Multiple detection values are grouped according to the indicators included in the preset combination of status influencing factors, and the detection values of the indicators included in each combination of status influencing factors are obtained; 确定每个状态影响因素组合所包括的指标的检测标准；Determine the detection standards for indicators included in each combination of state influencing factors; 根据所述检测标准和所述检测值确定每个指标的第一检测结果；Determine the first detection result of each indicator according to the detection standard and the detection value; 基于多个指标的第一检测结果确定所述电梯部件的第二检测结果。A second detection result of the elevator component is determined based on first detection results of a plurality of indicators. 2.根据权利要求1所述的方法，其特征在于，在获取电梯部件的多个指标的检测值之前，还包括：2. The method according to claim 1, characterized in that, before obtaining the detection values of multiple indicators of the elevator components, it further includes: 确定电梯部件的多个指标的采集周期，并将最大采集周期确定为所述电梯部件的检测周期；Determine the collection period of multiple indicators of the elevator component, and determine the maximum collection period as the detection period of the elevator component; 在当前检测周期内，判断是否已采集并存储所述电梯部件的各个指标的检测值；In the current detection cycle, determine whether the detection values of each indicator of the elevator component have been collected and stored; 若是，执行获取电梯部件的多个指标的检测值的步骤。If yes, perform the step of obtaining detection values of multiple indicators of the elevator component. 3.根据权利要求1所述的方法，其特征在于，确定每个状态影响因素组合所包括的指标的检测标准，包括：3. The method according to claim 1, characterized in that determining the detection standards of indicators included in each state influencing factor combination includes: 针对所述状态影响因素组合所包括的指标，获取所述指标的历史检测值；For the indicators included in the combination of state influencing factors, obtain historical detection values of the indicators; 根据所述历史检测值计算所述指标的检测标准。Calculate the detection standard of the indicator based on the historical detection value. 4.根据权利要求3所述的方法，其特征在于，根据所述历史检测值计算所述指标的检测标准，包括：4. The method according to claim 3, characterized in that calculating the detection standard of the indicator based on the historical detection value includes: 计算所述历史检测值的平均值、标准差、四分之一分位数以及四分之三分位数；Calculate the mean, standard deviation, quarter percentile, and three-quarter percentile of the historical detection values; 计算所述平均值与n倍标准差的第一和值，以及计算所述平均值与n倍标准差的第一差值；Calculate a first sum of the average value and n times the standard deviation, and calculate a first difference between the average value and n times the standard deviation; 计算所述四分之三分位数与所述四分之一分位数的第二差值，并计算所述第二差值与m的乘积；Calculate a second difference between the three-quarter quantile and the quarter quantile, and calculate the product of the second difference and m; 计算所述四分之三分位数与所述乘积的第二和值，以及计算所述四分之一分位数与所述乘积的第三差值；calculating a second sum of the three-quarter quantiles and the product, and calculating a third difference between the quarter quantiles and the product; 将所述第一和值与所述第二和值中的较大值确定为所述指标的上限值，以及将所述第一差值与第三差值中的较小值确定为所述指标的下限值。The larger value of the first sum value and the second sum value is determined as the upper limit value of the indicator, and the smaller value of the first difference value and the third difference value is determined as the upper limit value of the indicator. The lower limit of the above indicators. 5.根据权利要求1-4任一项所述的方法，其特征在于，所述指标的检测标准包括上限值和下限值，根据所述检测标准和所述检测值确定每个指标的第一检测结果，包括：5. The method according to any one of claims 1 to 4, characterized in that the detection standard of the indicator includes an upper limit value and a lower limit value, and the detection standard of each indicator is determined according to the detection standard and the detection value. The first test results include: 确定每个指标的检测值是否在所述指标的下限值和上限值之间；Determine whether the detection value of each indicator is between the lower limit value and the upper limit value of the indicator; 若是，生成所述指标合格的第一检测结果；If so, generate a first test result indicating that the indicator is qualified; 若否，生成所述指标不合格的第一检测结果。If not, a first detection result indicating that the indicator is unqualified is generated. 6.根据权利要求1-4任一项所述的方法，其特征在于，基于多个指标的第一检测结果确定所述电梯部件的第二检测结果，包括：6. The method according to any one of claims 1 to 4, characterized in that determining the second detection result of the elevator component based on the first detection results of multiple indicators includes: 计算第一检测结果为合格的指标的数量与指标的总数量的比值；Calculate the ratio of the number of indicators whose first test results are qualified to the total number of indicators; 判断所述比值是否大于预设的阈值；Determine whether the ratio is greater than a preset threshold; 若是，生成所述电梯部件处于正常状态的第二检测结果；If so, generate a second detection result that the elevator component is in a normal state; 若否，生成所述电梯部件处于异常状态的第二检测结果。If not, generate a second detection result that the elevator component is in an abnormal state. 7.根据权利要求1-4任一项所述的方法，其特征在于，在基于多个指标的第一检测结果确定所述电梯部件的第二检测结果之后，还包括：7. The method according to any one of claims 1 to 4, characterized in that, after determining the second detection result of the elevator component based on the first detection results of a plurality of indicators, it further includes: 获取所述电梯部件的实际状态；Obtain the actual status of the elevator components; 在所述第二检测结果中的电梯部件的检测状态与所述实际状态不一致时，生成检测结果验证不通过的验证结果；When the detection status of the elevator component in the second detection result is inconsistent with the actual status, generate a verification result indicating that the detection result verification fails; 在所述第二检测结果中的电梯部件的检测状态与所述实际状态一致时，生成检测结果验证通过的验证结果。When the detection state of the elevator component in the second detection result is consistent with the actual state, a verification result is generated that the detection result verification is passed. 8.根据权利要求1-4任一项所述的方法，其特征在于，在基于多个指标的第一检测结果确定所述电梯部件的第二检测结果之后，还包括：8. The method according to any one of claims 1 to 4, characterized in that, after determining the second detection result of the elevator component based on the first detection results of a plurality of indicators, it further includes: 根据所述第一检测结果和所述第二检测结果生成检测报告；Generate a detection report based on the first detection result and the second detection result; 展示所述检测报告。Display the test report. 9.一种电梯部件检测装置，其特征在于，包括：9. An elevator component detection device, characterized in that it includes: 检测值获取模块，用于获取电梯部件的多个指标的检测值；The detection value acquisition module is used to obtain the detection values of multiple indicators of elevator components; 分组模块，用于按照预置的状态影响因素组合所包括的指标对多个检测值分组，得到每个状态影响因素组合所包括的指标的检测值；The grouping module is used to group multiple detection values according to the indicators included in the preset combination of status influencing factors, and obtain the detection values of the indicators included in each combination of status influencing factors; 检测标准确定模块，用于确定每个状态影响因素组合所包括的指标的检测标准；The detection standard determination module is used to determine the detection standard of the indicators included in each combination of state influencing factors; 指标检测结果确定模块，用于根据所述检测标准和所述检测值确定每个指标的第一检测结果；An indicator detection result determination module, configured to determine the first detection result of each indicator based on the detection standard and the detection value; 电梯部件检测结果确定模块，用于基于多个指标的第一检测结果确定所述电梯部件的第二检测结果。An elevator component detection result determination module is configured to determine a second detection result of the elevator component based on the first detection results of multiple indicators. 10.一种电子设备，其特征在于，所述电子设备包括：10. An electronic device, characterized in that the electronic device includes: 至少一个处理器；以及at least one processor; and 与所述至少一个处理器通信连接的存储器；其中，a memory communicatively connected to the at least one processor; wherein, 所述存储器存储有可被所述至少一个处理器执行的计算机程序，所述计算机程序被所述至少一个处理器执行，以使所述至少一个处理器能够执行权利要求1-8中任一项所述的电梯部件检测方法。The memory stores a computer program executable by the at least one processor, the computer program being executed by the at least one processor, so that the at least one processor can execute any one of claims 1-8 The elevator component detection method. 11.一种计算机可读存储介质，其特征在于，所述计算机可读存储介质存储有计算机指令，所述计算机指令用于使处理器执行时实现权利要求1-8中任一项所述的电梯部件检测方法。11. A computer-readable storage medium, characterized in that the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the method of any one of claims 1-8 when executed by a processor. Elevator component inspection methods.
CN202311488981.4A 2023-11-09 2023-11-09 Elevator component detection method, device, electronic equipment and storage medium Pending CN117538643A (en)

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