CN113469453A - Elevator evaluation method and elevator evaluation device based on information physical system - Google Patents
Elevator evaluation method and elevator evaluation device based on information physical system Download PDFInfo
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Abstract
The invention discloses an elevator evaluation method and an elevator evaluation device based on an information physical system, which are applied to a cloud server, wherein the cloud server is in real-time communication connection with a plurality of elevators, and each elevator executes elevator control operation based on a real-time control instruction of the cloud server, and the method comprises the following steps: acquiring part information of elevator parts; extracting evaluation information corresponding to the elevator part information from the part information, wherein the evaluation information comprises damage test information of the elevator part; extracting historical sensing information and historical operation information of elevator components from the component information; and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information. Through monitoring elevator spare part, combine the evaluation information to assess its quality with the accuracy to effectively improved the accuracy nature of the quality assessment of spare part, improved the management accuracy nature to the elevator, can effectively reduce the fault rate or the abnormal rate of elevator, improve user experience.
Description
Technical Field
The invention relates to the technical field of elevator management, in particular to an elevator evaluation method based on an information physical system and an elevator evaluation device based on the information physical system.
Background
With the continuous development of science and technology, the functions of the elevator are also continuously increased, and along with the functions, more parts are arranged on the elevator.
The possibility of elevator failure is also increasing due to a large number of parts, and in order to ensure safe operation of the elevator, the operation state of the elevator is monitored or predicted by monitoring the operation data of the elevator in the prior art.
However, on the one hand, in the prior art, the electrical components are mainly monitored, but the whole elevator is not monitored, so that the data on which monitoring or prediction depends is limited, and the monitoring or prediction accuracy is low, for example, parameters such as leveling information, door opening and closing signals, running speed, jitter condition and the like are often monitored, and parameters such as temperature, humidity and the like of an elevator machine room are often monitored, and the parameters cannot reflect the service life conditions of all elevator components.
On the other hand, in the purchasing process of elevator parts, the quality of parts of different models or parts of different batches is different, and when the quality of a certain part is poor, the part cannot be found in time.
Disclosure of Invention
In order to solve the technical problems in the prior art, embodiments of the present invention provide an elevator evaluation method based on an cyber-physical system, which monitors historical information of components of multiple elevators and combines evaluation information of the components to accurately evaluate the quality of the components, thereby effectively improving the accuracy of quality evaluation of the components, improving the management accuracy of the elevators, effectively reducing the failure rate or abnormal rate of the elevators, and improving user experience.
In order to achieve the above object, an embodiment of the present invention provides an elevator evaluation method based on an cyber-physical system, which is applied to a cloud server, the cloud server is connected to a plurality of elevators in real-time communication, and each elevator performs an elevator control operation based on a real-time control instruction of the cloud server, and the method includes: acquiring part information of elevator parts; extracting evaluation information corresponding to the elevator parts from the part information, wherein the evaluation information comprises damage test information of the elevator parts; extracting historical sensing information and historical operation information of the elevator components from the component information; and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information.
Preferably, the method further comprises: acquiring the failure rate of the elevator components before generating the quality evaluation result of the elevator components; and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information under the condition that the fault rate is greater than a preset fault rate.
Preferably, the historical sensing information includes historical electrical sensing information of the elevator component and historical weather sensing information of the elevator component in the vicinity of the elevator, and the quality evaluation result of the elevator component is generated based on the evaluation information, the historical sensing information and the historical operation information, and includes: determining first damage data for the elevator component based on the historical electrical sensing information and the damage test information; determining second damage data for the elevator component based on the historical weather sensing information and the damage test information; determining third damage data for the elevator component based on the historical operating information and the damage test information; generating total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data; generating a quality assessment result for the elevator component based on the total damage data and a rated service life of the elevator component.
Preferably, the generating a quality assessment result of the elevator component based on the total damage data and the rated service life of the elevator component comprises: determining an estimated service life of the elevator component based on the total damage data; judging whether a first difference value between the estimated service life and the rated service life is smaller than a preset deviation or not; generating a quality evaluation result with qualified quality under the condition that the first difference is less than or equal to the preset deviation; judging whether overproof parameter information exists in the historical sensing information and the historical operating information or not under the condition that the first difference is larger than the preset deviation; under the condition that the standard exceeding parameter information exists, correcting the estimated service life based on the standard exceeding parameter information to obtain the estimated service life after correction; obtaining a second difference value between the estimated service life after correction and the rated service life; under the condition that the second difference value is less than or equal to the preset deviation, generating a quality evaluation result with qualified quality, and generating and feeding back environment warning information; and generating a quality evaluation result with unqualified quality under the condition that the standard exceeding parameter information does not exist or the second difference is larger than the preset deviation.
Preferably, the method further comprises: obtaining the model information or the production batch number information of the elevator parts under the condition that the quality evaluation result of the elevator parts is unqualified; generating part replacement alarm information corresponding to the model information or the production batch number information; and feeding back the part replacement alarm information.
Correspondingly, the embodiment of the invention also provides an elevator evaluation device based on the cyber-physical system, which comprises: the first information acquisition unit is used for acquiring the part information of the elevator parts; the first information extraction unit is used for extracting evaluation information corresponding to the elevator parts from the part information, and the evaluation information comprises damage test information of the elevator parts; the second information extraction unit is used for extracting historical sensing information and historical running information of the elevator parts from the part information; and the quality evaluation unit is used for generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information.
Preferably, the apparatus further comprises a status monitoring unit, the status monitoring unit being configured to: acquiring the failure rate of the elevator components before generating the quality evaluation result of the elevator components; the quality assessment unit is further configured to: and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information under the condition that the fault rate is greater than a preset fault rate.
Preferably, the historical sensing information includes historical electrical sensing information of the elevator component and historical weather sensing information of the elevator component in the vicinity of the elevator, and the quality evaluation unit includes: a first damage assessment module to determine first damage data for the elevator component based on the historical electrical sensing information and the damage test information; a second damage assessment module to determine second damage data for the elevator component based on the historical weather sensing information and the damage test information; a third damage assessment module to determine third damage data for the elevator component based on the historical operating information and the damage test information; a total damage determination module to generate total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data; a quality assessment module to generate a quality assessment result for the elevator component based on the total damage data and a rated service life of the elevator component.
Preferably, the quality assessment module is configured to: determining an estimated service life of the elevator component based on the total damage data; judging whether a first difference value between the estimated service life and the rated service life is smaller than a preset deviation or not; generating a quality evaluation result with qualified quality under the condition that the first difference is less than or equal to the preset deviation; judging whether overproof parameter information exists in the historical sensing information and the historical operating information or not under the condition that the first difference is larger than the preset deviation; under the condition that the standard exceeding parameter information exists, correcting the estimated service life based on the standard exceeding parameter information to obtain the estimated service life after correction; obtaining a second difference value between the estimated service life after correction and the rated service life; under the condition that the second difference value is less than or equal to the preset deviation, generating a quality evaluation result with qualified quality, and generating and feeding back environment warning information; and generating a quality evaluation result with unqualified quality under the condition that the standard exceeding parameter information does not exist or the second difference is larger than the preset deviation.
Preferably, the apparatus further comprises an alarm unit for: obtaining the model information or the production batch number information of the elevator parts under the condition that the quality evaluation result of the elevator parts is unqualified; generating part replacement alarm information corresponding to the model information or the production batch number information; and feeding back the part replacement alarm information.
Through the technical scheme provided by the invention, the invention at least has the following technical effects:
the quality of all parts of the elevator is evaluated by combining the historical operation data of the elevator with the evaluation information of the elevator, so that the evaluation accuracy of the quality evaluation of the parts is effectively improved, accurate part management reference data is provided for elevator manufacturers or maintenance personnel, the failure probability of the elevator is effectively reduced, and the user experience is improved;
on the other hand, the service life of the elevator components is estimated by combining weather data, instead of estimating the service life of the elevator components only according to the operation monitoring parameters or the sensing parameters of the elevator, so that the accuracy and the reliability of the service life estimation are effectively improved, and the accurate quality estimation is realized.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the drawings:
fig. 1 is a flow chart of a specific implementation of an elevator evaluation method based on an cyber-physical system according to an embodiment of the invention;
fig. 2 is a flow chart of a specific implementation of generating a quality evaluation result in an elevator evaluation method based on an cyber-physical system according to an embodiment of the present invention;
fig. 3 is a flowchart of a specific implementation of an elevator evaluation method based on an cyber-physical system according to another embodiment of the invention;
fig. 4 is a schematic structural diagram of an elevator evaluation device based on an cyber-physical system according to an embodiment of the present invention.
Detailed Description
The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating embodiments of the invention, are given by way of illustration and explanation only, not limitation.
The terms "system" and "network" in embodiments of the present invention may be used interchangeably. The "plurality" means two or more, and in view of this, the "plurality" may also be understood as "at least two" in the embodiments of the present invention. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" generally indicates that the preceding and following related objects are in an "or" relationship, unless otherwise specified. In addition, it should be understood that the terms first, second, etc. in the description of the embodiments of the invention are used for distinguishing between the descriptions and are not intended to indicate or imply relative importance or order to be construed.
Referring to fig. 1, an embodiment of the present invention provides an elevator evaluation method based on an cyber-physical system, which is applied to a cloud server, where the cloud server is connected to multiple elevators in real-time communication, and each elevator performs an elevator control operation based on a real-time control instruction of the cloud server, and the method includes:
s10) obtaining the part information of the elevator parts;
s20) extracting evaluation information corresponding to the elevator parts from the part information, wherein the evaluation information comprises damage test information of the elevator parts;
s30) extracting historical sensing information and historical operation information of the elevator components from the component information;
s40) generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information, and the historical operation information.
In the embodiment of the invention, all elevators connected with the cloud server are controlled by adopting a real-time control method based on the cloud server, and each elevator executes corresponding elevator control operation according to a real-time control instruction sent by the cloud server. In order to reduce the failure rate of the elevator and to increase the speed of handling elevator failures, the quality of the components of each elevator is accurately evaluated.
In a possible implementation manner, in the process of evaluating the quality of all parts in a certain elevator, firstly, information of the parts of the elevator is obtained, for example, the information can be input into a cloud server by a technician when the elevator leaves a factory, or an inquiry command can be automatically sent to the corresponding elevator by the cloud server, and after receiving the inquiry command, the elevator feeds back the corresponding information of the parts to the cloud server. After acquiring the component information, further acquiring evaluation information of each component, for example, the evaluation information of each component may be queried and extracted from the component information stored in the database in the cloud server, or may be connected to a homepage of a provider or a server corresponding to each component in advance to retrieve the corresponding evaluation information and generate corresponding component information, where the evaluation information includes test information for each component, and in the test information, damage test information of elevator components, such as damage of different air humidity to elevator components, damage of different temperature to elevator components, and the like, is included, and then historical sensing information and historical operation information of the components of the elevator are acquired through a sensor arranged on the elevator and corresponding to each component to generate corresponding component information, when the quality of the parts needs to be evaluated, the cloud server extracts the information from the part information, and evaluates the quality of each part according to the evaluation information, the historical sensing information and the historical operation information to generate a quality evaluation result of the elevator parts.
In the embodiment of the invention, the use condition and the damage condition of the elevator components can be accurately evaluated by combining the historical sensing information and the historical running information of the elevator components according to the evaluation information of the components, so that the accurate quality evaluation result of the elevator components is generated, accurate data support is provided for the subsequent work of elevator fault prediction, elevator component maintenance and the like, the use safety of the elevator is improved, the elevator fault rate is reduced, and the user experience is improved.
In an embodiment of the present invention, the method further comprises: acquiring the failure rate of the elevator components before generating the quality evaluation result of the elevator components; and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information under the condition that the fault rate is greater than a preset fault rate.
Through carrying out real-time aassessment to the quality of elevator spare part, though can realize the dynamic aassessment to the instruction of elevator spare part, but to the high in the clouds server will produce a large amount of data operation, consequently cause a large amount of resource consumption, improved the operating cost of enterprise. And under the condition that the elevator parts are normally used, most of the elevator parts have faults or are abnormal under the condition that the service lives of the elevator parts are reached, so that whether the quality of each elevator part is evaluated or not can be judged according to the fault condition of each elevator part.
In a possible implementation manner, before the quality evaluation result of the elevator component is generated, the failure rate of the elevator component is further obtained, for example, in an embodiment, the cloud server monitors that the ratio of the usage amount of a certain elevator component to the failure amount in the use process, that is, the failure rate of the certain elevator component is greater than a preset failure rate, so that it is determined that the certain elevator component is at risk of quality failure, and therefore, the component is immediately subjected to quality evaluation according to the evaluation information, the historical sensing information and the historical operation information of the component, and a corresponding quality evaluation result is generated.
In the embodiment of the invention, the fault condition of each elevator part is monitored in real time, the quality of the elevator part is evaluated only when the fault rate of the elevator part is high, and a corresponding quality evaluation result is generated.
On the other hand, the quality of the parts is evaluated only when the failure rate of the parts is high, but not the quality of each part, so that the computation amount of the cloud server is greatly reduced, and particularly, when the cloud server is simultaneously accessed to a large number of elevators in an elevator management system based on an information physical system, the computation load of the cloud server can be greatly reduced by reducing the quality evaluation amount of the parts, and the quality evaluation efficiency of all the parts in all the elevators is improved.
Referring to fig. 2, in an embodiment of the present invention, the historical sensing information includes historical electrical sensing information of the elevator component and historical weather sensing information of the elevator component in the vicinity of the elevator, and the generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information, and the historical operation information includes:
s41) determining first damage data for the elevator component based on the historical electrical sensing information and the damage test information;
s42) determining second damage data for the elevator component based on the historical weather sensing information and the damage test information;
s43) determining third damage data for the elevator component based on the historical operating information and the damage test information;
s44) generating total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data;
s45) generating a quality assessment result for the elevator component based on the total damage data and the rated service life of the elevator component.
In a possible implementation manner, the cloud server performs quality evaluation on a part of an elevator, first extracts electrical sensing information in historical sensing information, for example, the electrical sensing information is obtained by collecting electrical parameters of the part, for example, electrical parameters such as a voltage value or a current value during operation of the part, the collected electrical parameters may be preset by a technician, for example, the electrical parameters may be related to functions or operation principles of the part, at this time, the cloud server determines first damage data of the elevator part based on the electrical sensing information and damage test information, for example, determines first damage data suffered by the elevator part during the historical operation according to a voltage change of the elevator part during the operation and a damage weight value of the elevator part by different voltage changes in the damage test information, for example, the first damage data is a life damage value suffered by the elevator component under historical electrical sensing information, or a ratio of life damage to total life.
Further, the cloud server obtains historical weather sensing information near the elevator in the use process of the part, for example, the historical weather sensing information can obtain historical weather data near the elevator through a network port of a weather service provider, for example, the historical weather sensing information obtains data that the weather near the elevator is rainy, the air humidity is 68%, the ambient temperature is 24 ° and the like on a certain day, and obtains data that the weather near the elevator is clear, the air humidity is 19%, the ambient temperature is 28 ° and the like on another day. At the moment, determining the life influence value or influence degree of the weather data on the part in the using process of the part according to the historical weather sensing information and the damage test information, and obtaining corresponding second damage data.
And determining an influence value or an influence program of historical operation information received by the elevator components in the using process according to the historical operation information of the elevator collected by monitoring and the damage test information, for example, for an elevator guide rail, the historical operation information comprises data such as normal use time, brake speed and elevator stopping time of the guide shoe on the guide rail, and further generating corresponding third damage data according to the historical operation information and the damage test information.
At this time, the cloud server may calculate total damage data of the elevator component according to the first damage data, the second damage data, and the third damage data, for example, calculate total damage data of all factors of the component to the component in the use process to reduce the service life of the component for 300 days, and at this time, the cloud server may generate a quality evaluation result of the component according to the rated service life of the component and the total damage data.
In the embodiment of the invention, the service life of the elevator is accurately evaluated by combining the weather environment factors near the elevator on the basis of the relevant factors of normal use of the elevator components, and different quality evaluation results can be obtained for the elevator components located in different positions and environments even if the elevator components are the same type or the same batch of elevator components, so that the accurate quality evaluation result of the components is obtained, and the accuracy of the evaluation result is effectively improved.
Further, since the electrical parameters, operation data and surrounding environment of the elevator cannot be optimized according to the optimal application parameters or environment during the actual use of the elevator, when the application parameters or environment are beyond the normal application range, additional damage may be caused to elevator components, for example, when the ambient temperature is lower than 40 °, permanent additional damage may be caused to the backup power supply (battery) of the elevator, and the quality evaluation result evaluated on the basis of the additional damage may greatly deviate from the rated service life of the components, but the huge deviation may not be caused by the quality factors of the components themselves, so that the data needs to be corrected to further improve the quality evaluation accuracy of the components.
In an embodiment of the invention, said generating a quality assessment result of said elevator component based on said total damage data and a rated service life of said elevator component comprises: determining an estimated service life of the elevator component based on the total damage data; judging whether a first difference value between the estimated service life and the rated service life is smaller than a preset deviation or not; generating a quality evaluation result with qualified quality under the condition that the first difference is less than or equal to the preset deviation; judging whether overproof parameter information exists in the historical sensing information and the historical operating information or not under the condition that the first difference is larger than the preset deviation; under the condition that the standard exceeding parameter information exists, correcting the estimated service life based on the standard exceeding parameter information to obtain the estimated service life after correction; obtaining a second difference value between the estimated service life after correction and the rated service life; under the condition that the second difference value is less than or equal to the preset deviation, generating a quality evaluation result with qualified quality, and generating and feeding back environment warning information; and generating a quality evaluation result with unqualified quality under the condition that the standard exceeding parameter information does not exist or the second difference is larger than the preset deviation.
In a possible implementation mode, after the total damage data is obtained, the estimated service life of the elevator part is firstly determined, and then whether the deviation between the estimated service life and the rated service life is larger than the preset deviation or not is further judged, in one embodiment, the cloud server detects that the deviation between the estimated service life and the rated service life of a certain part is smaller than the preset deviation, so that the deviation between the quality evaluation result of the part and the rated service life is determined to belong to the normal deviation, namely the quality of the part is qualified, and therefore the quality evaluation result of the qualified quality is generated.
In another embodiment, the cloud server detects that the deviation between the estimated service life and the rated service life of another part is greater than a preset deviation, thereby further judging whether the over-standard parameter information exists in the historical sensing information and the historical operation information of the elevator components, for example, in an embodiment of the invention, the cloud server detects that the air temperature in the vicinity of the elevator is higher than 40 ° during a certain period, and the air temperature will cause permanent damage to the electrical components in the circuit board at the elevator site, will cause additional impact on the service life of the circuit board, so as to correct the estimated service life of the component based on the above-mentioned out-of-standard parameters, to obtain a corrected estimated lifetime, e.g. by adding the estimated extra lost lifetime to the estimated lifetime, to obtain a corrected estimated life and thus a more accurate estimate of the life of the elevator components.
At the moment, the cloud server further compares the estimated service life after correction with the rated service life, if the comparison result shows that the difference value is smaller than the preset deviation, a quality evaluation result with qualified quality is generated, and meanwhile, warning information with poor environment is generated and fed back to prompt field maintenance personnel to configure a more reasonable service environment for the elevator, so that the service life of the elevator is prevented from being reduced, the failure rate of the elevator is effectively reduced, and the user experience is improved.
Referring to fig. 3, in the embodiment of the present invention, the method further includes:
s501) obtaining model information or production batch number information of the elevator parts under the condition that the quality evaluation result of the elevator parts is unqualified;
s502) generating part replacement alarm information corresponding to the model information or the production batch number information;
s503) feeding back the part replacement alarm information.
In a possible implementation manner, after quality evaluation is performed on a part of an elevator, the cloud server determines that the quality evaluation result is that the quality is unqualified, that is, the fault rate or abnormal rate of the part is high, and the service life is short, so that model information or production lot number information of the part of the elevator is immediately obtained, and corresponding part replacement alarm information is generated. Certainly, the cloud server may also further obtain whether the quality evaluation result of a part of the same model or the same production lot number in another elevator is still unqualified after determining that the quality of the part is unqualified, for example, in an embodiment, the cloud server detects that the quantity of the part of the model or the production lot number which is unqualified reaches a preset quantity threshold value, so as to generate and feed back part replacement alarm information corresponding to the model information or the production lot number information of the part, for example, the part replacement alarm information may be fed back only to an elevator manufacturer manager, or the part replacement alarm information may be simultaneously pushed to all maintenance personnel corresponding to the elevator related to the part, so as to warn the elevator manufacturer, or prompt relevant maintenance personnel to replace the part in advance, so as to avoid the occurrence of frequent failure or abnormality, therefore, the use safety and stability of the elevator are effectively improved, the failure rate or abnormal rate of the elevator is reduced, and the user experience is improved.
The elevator evaluation device based on the cyber-physical system according to the embodiment of the present invention will be described with reference to the accompanying drawings.
Referring to fig. 4, based on the same inventive concept, an embodiment of the present invention provides an elevator evaluation apparatus based on an cyber-physical system, the apparatus including: the first information acquisition unit is used for acquiring the part information of the elevator parts; the first information extraction unit is used for extracting evaluation information corresponding to the elevator part information from the part information, and the evaluation information comprises damage test information of the elevator part; the second information extraction unit is used for extracting historical sensing information and historical running information of the elevator parts from the part information; and the quality evaluation unit is used for generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information.
In an embodiment of the present invention, the apparatus further includes a status monitoring unit, where the status monitoring unit is configured to: acquiring the failure rate of the elevator components before generating the quality evaluation result of the elevator components; the quality assessment unit is further configured to: and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information under the condition that the fault rate is greater than a preset fault rate.
In an embodiment of the present invention, the historical sensing information includes historical electrical sensing information of the elevator component and historical weather sensing information of the vicinity of the elevator where the elevator component is located, and the quality evaluation unit includes: a first damage assessment module to determine first damage data for the elevator component based on the historical electrical sensing information and the damage test information; a second damage assessment module to determine second damage data for the elevator component based on the historical weather sensing information and the damage test information; a third damage assessment module to determine third damage data for the elevator component based on the historical operating information and the damage test information; a total damage determination module to generate total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data; a quality assessment module to generate a quality assessment result for the elevator component based on the total damage data and a rated service life of the elevator component.
In an embodiment of the present invention, the quality evaluation module is configured to: determining an estimated service life of the elevator component based on the total damage data; judging whether a first difference value between the estimated service life and the rated service life is smaller than a preset deviation or not; generating a quality evaluation result with qualified quality under the condition that the first difference is less than or equal to the preset deviation; judging whether overproof parameter information exists in the historical sensing information and the historical operating information or not under the condition that the first difference is larger than the preset deviation; under the condition that the standard exceeding parameter information exists, correcting the estimated service life based on the standard exceeding parameter information to obtain the estimated service life after correction; obtaining a second difference value between the estimated service life after correction and the rated service life; under the condition that the second difference value is less than or equal to the preset deviation, generating a quality evaluation result with qualified quality, and generating and feeding back environment warning information; and generating a quality evaluation result with unqualified quality under the condition that the standard exceeding parameter information does not exist or the second difference is larger than the preset deviation.
In an embodiment of the present invention, the apparatus further includes an alarm unit, where the alarm unit is configured to: obtaining the model information or the production batch number information of the elevator parts under the condition that the quality evaluation result of the elevator parts is unqualified; generating part replacement alarm information corresponding to the model information or the production batch number information; and feeding back the part replacement alarm information.
Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.
Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.
Claims (10)
1. An elevator evaluation method based on an information physical system is applied to a cloud server, and is characterized in that the cloud server is in real-time communication connection with a plurality of elevators, and each elevator executes elevator control operation based on a real-time control instruction of the cloud server, and the method comprises the following steps:
acquiring part information of elevator parts;
extracting evaluation information corresponding to the elevator parts from the part information, wherein the evaluation information comprises damage test information of the elevator parts;
extracting historical sensing information and historical operation information of the elevator components from the component information;
and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information.
2. The method of claim 1, further comprising:
acquiring the failure rate of the elevator components before generating the quality evaluation result of the elevator components;
and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information under the condition that the fault rate is greater than a preset fault rate.
3. The method of claim 1, wherein the historical sensory information includes historical electrical sensory information of the elevator component and historical weather sensory information of the elevator component in the vicinity of the elevator, and wherein generating the quality assessment result of the elevator component based on the evaluation information, the historical sensory information, and the historical operation information comprises:
determining first damage data for the elevator component based on the historical electrical sensing information and the damage test information;
determining second damage data for the elevator component based on the historical weather sensing information and the damage test information;
determining third damage data for the elevator component based on the historical operating information and the damage test information;
generating total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data;
generating a quality assessment result for the elevator component based on the total damage data and a rated service life of the elevator component.
4. The method of claim 3, wherein generating a quality assessment result for the elevator component based on the total damage data and a rated service life of the elevator component comprises:
determining an estimated service life of the elevator component based on the total damage data;
judging whether a first difference value between the estimated service life and the rated service life is smaller than a preset deviation or not;
generating a quality evaluation result with qualified quality under the condition that the first difference is less than or equal to the preset deviation;
judging whether overproof parameter information exists in the historical sensing information and the historical operating information or not under the condition that the first difference is larger than the preset deviation;
under the condition that the standard exceeding parameter information exists, correcting the estimated service life based on the standard exceeding parameter information to obtain the estimated service life after correction;
obtaining a second difference value between the estimated service life after correction and the rated service life;
under the condition that the second difference value is less than or equal to the preset deviation, generating a quality evaluation result with qualified quality, and generating and feeding back environment warning information;
and generating a quality evaluation result with unqualified quality under the condition that the standard exceeding parameter information does not exist or the second difference is larger than the preset deviation.
5. The method of claim 1, further comprising:
obtaining the model information or the production batch number information of the elevator parts under the condition that the quality evaluation result of the elevator parts is unqualified;
generating part replacement alarm information corresponding to the model information or the production batch number information;
and feeding back the part replacement alarm information.
6. An elevator evaluation apparatus based on an cyber-physical system, the apparatus comprising:
the first information acquisition unit is used for acquiring the part information of the elevator parts;
the first information extraction unit is used for extracting evaluation information corresponding to the elevator parts from the part information, and the evaluation information comprises damage test information of the elevator parts;
the second information extraction unit is used for extracting historical sensing information and historical running information of the elevator parts from the part information;
and the quality evaluation unit is used for generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information.
7. The apparatus of claim 6, further comprising a status monitoring unit configured to:
acquiring the failure rate of the elevator components before generating the quality evaluation result of the elevator components;
the quality assessment unit is further configured to: and generating a quality evaluation result of the elevator parts based on the evaluation information, the historical sensing information and the historical operation information under the condition that the fault rate is greater than a preset fault rate.
8. The apparatus of claim 6, wherein the historical sensory information includes historical electrical sensory information of the elevator component and historical weather sensory information of the elevator component in the vicinity of the elevator, and wherein the quality assessment unit comprises:
a first damage assessment module to determine first damage data for the elevator component based on the historical electrical sensing information and the damage test information;
a second damage assessment module to determine second damage data for the elevator component based on the historical weather sensing information and the damage test information;
a third damage assessment module to determine third damage data for the elevator component based on the historical operating information and the damage test information;
a total damage determination module to generate total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data;
a quality assessment module to generate a quality assessment result for the elevator component based on the total damage data and a rated service life of the elevator component.
9. The apparatus of claim 8, wherein the quality assessment module is configured to:
determining an estimated service life of the elevator component based on the total damage data;
judging whether a first difference value between the estimated service life and the rated service life is smaller than a preset deviation or not;
generating a quality evaluation result with qualified quality under the condition that the first difference is less than or equal to the preset deviation;
judging whether overproof parameter information exists in the historical sensing information and the historical operating information or not under the condition that the first difference is larger than the preset deviation;
under the condition that the standard exceeding parameter information exists, correcting the estimated service life based on the standard exceeding parameter information to obtain the estimated service life after correction;
obtaining a second difference value between the estimated service life after correction and the rated service life;
under the condition that the second difference value is less than or equal to the preset deviation, generating a quality evaluation result with qualified quality, and generating and feeding back environment warning information;
and generating a quality evaluation result with unqualified quality under the condition that the standard exceeding parameter information does not exist or the second difference is larger than the preset deviation.
10. The apparatus of claim 6, further comprising an alarm unit to:
obtaining the model information or the production batch number information of the elevator parts under the condition that the quality evaluation result of the elevator parts is unqualified;
generating part replacement alarm information corresponding to the model information or the production batch number information;
and feeding back the part replacement alarm information.
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