CN113469453B - 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 real-time control instructions of the cloud server, and the method comprises the following steps: acquiring part information of elevator parts; extracting evaluation information corresponding to the elevator component information from the component information, wherein the evaluation information comprises damage test information of the elevator component; extracting historical sensing information and historical operation information of the elevator parts from the part information; and generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical operation information. By monitoring the elevator parts and combining the evaluation information to accurately evaluate the quality of the elevator parts, the accuracy of quality evaluation of the parts is effectively improved, the management accuracy of the elevator is improved, the failure rate or the abnormal rate of the elevator can be effectively reduced, and the user experience is improved.
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 technology, the functions of the elevator are continuously increased, and accordingly, parts on the elevator are more and more.
The possibility of failure of the elevator due to a large number of parts is also increasing, 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 the monitoring or prediction depends is limited, and the monitoring or prediction accuracy is low, for example, parameters such as flat layer 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 monitored, and the parameters cannot reflect the service life conditions of all elevator components.
On the other hand, in the purchasing process of the elevator parts, the quality of the parts with different types or batches of parts is different, and when the quality of a part is poor, the part cannot be found in time, and because the current elevators are all operated offline, the part with poor quality can be found when the same parts of a plurality of elevators are all faulty or abnormal, and the process causes great trouble to users.
Disclosure of Invention
In order to overcome the technical problems in the prior art, the embodiment of the invention provides an elevator assessment method based on an information physical system, which is used for accurately assessing the quality of a plurality of elevator components by monitoring the historical information of the elevator components and combining the assessment information of the components, thereby effectively improving the accuracy of quality assessment of the components, improving the management accuracy of the elevator, effectively reducing the failure rate or abnormal rate of the elevator and improving the user experience.
In order to achieve the above object, an embodiment of the present invention provides an elevator assessment method based on an information physical system, which is 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 real-time control instructions of the cloud server, and the method includes: acquiring part information of elevator parts; extracting evaluation information corresponding to the elevator component from the component information, wherein the evaluation information comprises damage test information of the elevator component; extracting historical sensing information and historical operation information of the elevator component from the component information; and generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical operation information.
Preferably, the method further comprises: before generating a quality evaluation result of the elevator component, acquiring a failure rate of the elevator component; and generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical running information under the condition that the failure rate is larger than a preset failure rate.
Preferably, the historical sensing information includes historical electrical sensing information of the elevator component and historical weather sensing information of the elevator component near 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 running information 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; and generating a quality evaluation result of the elevator component based on the total damage data and the rated service life of the elevator component.
Preferably, the generating the 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 the 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 value is smaller than or equal to the preset deviation; judging whether the historical sensing information and the historical operation information have out-of-standard parameter information or not under the condition that the first difference value is larger than the preset deviation; correcting the estimated service life based on the over-standard parameter information under the condition that the over-standard parameter information exists, and obtaining the corrected estimated service life; acquiring a second difference value between the corrected estimated life and the rated service life; generating a quality assessment result with qualified quality and generating and feeding back environment warning information under the condition that the second difference value is smaller than or equal to the preset deviation; and generating a quality evaluation result with unqualified quality under the condition that the out-of-standard parameter information does not exist or the second difference value is larger than the preset deviation.
Preferably, the method further comprises: acquiring model information or production batch number information of the elevator component under the condition that the quality evaluation result of the elevator component is that the quality is unqualified; generating part replacement alarm information corresponding to the model information or the production lot number information; and feeding back the part replacement alarm information.
Correspondingly, the embodiment of the invention also provides an elevator assessment device based on the information physical system, which comprises: the first information acquisition unit is used for acquiring the part information of the elevator parts; a first information extraction unit, configured to extract evaluation information corresponding to the elevator component from the component information, where the evaluation information includes damage test information of the elevator component; a second information extraction unit for extracting history sensing information and history operation information of the elevator component from the component information; and the quality evaluation unit is used for generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical operation information.
Preferably, the apparatus further comprises a status monitoring unit for: before generating a quality evaluation result of the elevator component, acquiring a failure rate of the elevator component; the quality assessment unit is further configured to: and generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical running information under the condition that the failure rate is larger than a preset failure 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 for determining first damage data for the elevator component based on the historical electrical sensing information and the damage test information; a second damage assessment module for determining second damage data for the elevator component based on the historical weather sensing information and the damage test information; a third damage assessment module for determining third damage data for the elevator component based on the historical operating information and the damage test information; a total damage determination module for generating total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data; and the quality evaluation module is used for generating a quality evaluation result of the elevator component based on the total damage data and the rated service life of the elevator component.
Preferably, the quality evaluation module is configured to: determining an estimated service life of the elevator component based on the total damage data; judging whether the 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 value is smaller than or equal to the preset deviation; judging whether the historical sensing information and the historical operation information have out-of-standard parameter information or not under the condition that the first difference value is larger than the preset deviation; correcting the estimated service life based on the over-standard parameter information under the condition that the over-standard parameter information exists, and obtaining the corrected estimated service life; acquiring a second difference value between the corrected estimated life and the rated service life; generating a quality assessment result with qualified quality and generating and feeding back environment warning information under the condition that the second difference value is smaller than or equal to the preset deviation; and generating a quality evaluation result with unqualified quality under the condition that the out-of-standard parameter information does not exist or the second difference value is larger than the preset deviation.
Preferably, the device further comprises an alarm unit for: acquiring model information or production batch number information of the elevator component under the condition that the quality evaluation result of the elevator component is that the quality is unqualified; generating part replacement alarm information corresponding to the model information or the production lot number information; and feeding back the part replacement alarm information.
Through the technical scheme provided by the invention, the invention has at least 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, 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 elevator fault probability is effectively reduced, and the user experience is improved;
on the other hand, by estimating the service life of the elevator component by combining the weather data instead of estimating the service life of the elevator component only according to the operation monitoring parameter or the sensing parameter of the elevator, 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 are included to provide a further understanding of 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, without limitation, the embodiments of the invention. In the drawings:
Fig. 1 is a flowchart of a specific implementation of an elevator assessment method based on an information physical system according to an embodiment of the present invention;
Fig. 2 is a flowchart of a specific implementation of generating a quality evaluation result in an elevator evaluation method based on an information physical system according to an embodiment of the present invention;
fig. 3 is a flowchart of a specific implementation of an elevator assessment method based on an information physical system according to another embodiment of the present invention;
Fig. 4 is a schematic structural diagram of an elevator evaluation device based on an information physical system according to an embodiment of the present invention.
Detailed Description
The following describes the detailed implementation of the embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
The terms "system" and "network" in embodiments of the invention may be used interchangeably. "plurality" means two or more, and "plurality" may also be understood as "at least two" in this embodiment of the present invention. "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. The character "/", unless otherwise specified, generally indicates that the associated object is an "or" relationship. In addition, it should be understood that in the description of embodiments of the present invention, the words "first," "second," and the like are used merely for distinguishing between the descriptions and not be construed as indicating or implying a relative importance or order.
Referring to fig. 1, an embodiment of the present invention provides an elevator assessment method based on an information physical system, which is 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 real-time control instructions of the cloud server, and the method includes:
S10) acquiring part information of elevator parts;
s20) extracting evaluation information corresponding to the elevator component from the component information, wherein the evaluation information comprises damage test information of the elevator component;
S30) extracting historical sensing information and historical operation information of the elevator component from the component information;
S40) generating a quality evaluation result of the elevator component based on the evaluation information, the history sensing information, and the history running information.
In the embodiment of the invention, a real-time control method based on a cloud server is adopted to control all elevators connected with 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 processing speed of the elevator failure, the quality of the parts of each elevator is accurately evaluated.
In one possible implementation manner, in the process of evaluating the quality of all parts in an elevator, part information of the elevator is firstly obtained, for example, a cloud server can be input by a technician when the elevator leaves a factory, a query instruction can be automatically sent to a corresponding elevator by the cloud server, and after the elevator receives the query instruction, the corresponding part information is fed back to the cloud server. After the component information is obtained, the evaluation information of each component is further obtained, for example, the evaluation information of each component can be queried and extracted from the component information stored in a database in a cloud server, or a homepage or a server of a provider corresponding to each component can be connected in advance to retrieve the corresponding evaluation information and generate the corresponding component information, wherein the evaluation information comprises test information of each component, the test information comprises damage test information of the elevator component, such as damage condition of different air humidity to the elevator component, damage condition of different temperature to the elevator component and the like, then, when the quality of the elevator component needs to be evaluated, the cloud server extracts the above information from the component information and generates the corresponding component information, and performs quality evaluation result of the elevator component according to the above evaluation information, the history sensing information and the history operation information.
According to the embodiment of the invention, the use condition and the damage condition of the elevator parts can be accurately evaluated by combining the historical sensing information and the historical operation information of the elevator parts according to the evaluation information of the parts, so that an accurate quality evaluation result of the elevator parts is generated, accurate data support is provided for the follow-up operation of predicting the elevator faults and maintaining the elevator parts, 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 includes: before generating a quality evaluation result of the elevator component, acquiring a failure rate of the elevator component; and generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical running information under the condition that the failure rate is larger than a preset failure rate.
By evaluating the quality of the elevator parts in real time, although the dynamic evaluation of the instruction of the elevator parts can be realized, a large amount of data operation is generated for the cloud server, so that a large amount of resource consumption is caused, and the operation cost of enterprises is increased. Under the normal use condition of the elevator parts, most of the elevator parts can be failed or abnormal under the condition of reaching the service life of the elevator parts, so that whether the quality of each elevator part is evaluated can be judged according to the failure condition of each elevator part.
In one 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 to the failure amount of a certain elevator component in the use process, that is, the failure rate is greater than the preset failure rate, so that the risk of quality failure is determined, and therefore the quality evaluation of the component is immediately performed 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.
According to the embodiment of the invention, the fault condition of each elevator component is monitored in real time, the quality of each elevator component is evaluated only when the fault rate of the elevator component is high, and the corresponding quality evaluation result is generated, so that the cloud server can realize accurate quality evaluation of the elevator component along with more and more fault data and corresponding quality evaluation data of the elevator components of the same model or batch on the basis of an information physical system.
On the other hand, the quality of each part is evaluated only when the failure rate of the part is higher, rather than the quality of each part, so that the operation amount of the cloud server is greatly reduced, and particularly when the cloud server is simultaneously connected with a large number of elevators in an elevator management system based on an information physical system, the operation 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 near where the elevator component is located, and the generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical running 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 of 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 of the elevator component based on the total damage data and the rated service life of the elevator component.
In one possible implementation manner, the cloud server performs quality assessment 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 of the electrical sensing information in an operation process can be collected, the collected electrical parameters can be preset by a technician, for example, the electrical parameters can be related to a function or an operation principle of the part, and the cloud server determines first damage data of the part of the elevator based on the electrical sensing information and damage test information, for example, first damage data of the part of the elevator, which is suffered by the part of the elevator in the historical operation process, is determined according to voltage changes of the part of the elevator in the operation process and different damage weights of the part of the elevator in the damage test information, for example, the first damage data is a life damage value of the part of the elevator, which is suffered by the part of the elevator under the historical electrical sensing information, or a ratio of life of the total life.
Further, the cloud server acquires historical weather sensing information near the elevator during the use of the component, for example, the historical weather sensing information can acquire historical weather data near the elevator through a network port of a weather service provider, for example, the data that the weather near the elevator is rainy, the air humidity is 68%, the environmental temperature is 24 degrees and the like, and the weather near the elevator is sunny, the air humidity is 19%, the environmental temperature is 28 degrees and the like. At this time, the influence value or the influence degree of the weather data on the life of the part in the use process of the part is determined according to the historical weather sensing information and the damage test information, and corresponding second damage data is obtained.
And determining an influence value or an influence program of the historical operation information of the elevator component in the using process according to the historical operation information of the elevator collected by monitoring and combining with the damage test information, wherein the historical operation information comprises data such as normal use time, braking speed, stopping time and the like of the guide shoe on the guide rail for the elevator 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 by 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.
According to the embodiment of the invention, on the basis of the normal use related factors of the elevator parts, the service life of the elevator is accurately estimated by combining the weather environment factors near the elevator, and for the elevator parts in different position environments, even if the elevator parts are manufactured in the same type or in the same batch, different quality estimation results can be obtained, so that the accurate quality estimation results of the parts are obtained, and the accuracy of the estimation results is effectively improved.
Further, since the electrical parameters, the operation data and the surrounding environment of the elevator cannot be performed according to the optimal application parameters or application environments during the actual use process of the elevator, when the application parameters or application environments exceed the normal application range, additional damage may be caused to the elevator components, for example, when the surrounding air temperature is lower than 40 °, permanent additional damage may be caused to the standby power supply (battery) of the elevator, and the quality evaluation result evaluated on the basis of the damage may deviate greatly from the rated service life of the components, but the huge deviation may not be caused by the quality factor of the components, therefore, correction needs to be performed on the data to further improve the accuracy of quality evaluation of the components.
In an embodiment of the present invention, the generating a quality evaluation result of the elevator component based on the total damage data and the rated service life of the elevator component includes: determining an estimated service life of the elevator component based on the total damage data; judging whether the 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 value is smaller than or equal to the preset deviation; judging whether the historical sensing information and the historical operation information have out-of-standard parameter information or not under the condition that the first difference value is larger than the preset deviation; correcting the estimated service life based on the over-standard parameter information under the condition that the over-standard parameter information exists, and obtaining the corrected estimated service life; acquiring a second difference value between the corrected estimated life and the rated service life; generating a quality assessment result with qualified quality and generating and feeding back environment warning information under the condition that the second difference value is smaller than or equal to the preset deviation; and generating a quality evaluation result with unqualified quality under the condition that the out-of-standard parameter information does not exist or the second difference value is larger than the preset deviation.
In one possible implementation manner, after the total damage data is obtained, firstly determining the estimated service life of the elevator component, then further judging whether the deviation between the estimated service life and the rated service life is larger than a preset deviation, in one embodiment, the cloud server detects that the deviation between the estimated service life and the rated service life of a certain component is smaller than the preset deviation, so that it is determined that the deviation between the quality evaluation result and the rated service life of the component belongs to a normal deviation, namely that the quality of the component is qualified, and therefore a quality evaluation result with 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 the preset deviation, so that it is further determined whether the historical sensing information and the historical operation information of the elevator part have the over-standard parameter information, for example, in the embodiment of the invention, the cloud server detects that the air temperature near the elevator is higher than 40 ° in a certain period, and the air temperature will cause permanent damage to the electrical components in the circuit board of the elevator field, that is, will cause additional influence to the service life of the circuit board, so that the estimated service life of the part is corrected based on the over-standard parameter to obtain the corrected estimated service life, for example, the estimated service life and the estimated service life of the additional loss are accumulated to obtain the corrected estimated service life, so as to obtain a more accurate estimation result of the service life of the elevator part.
At this time, 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 assessment result with qualified quality is generated, and meanwhile warning information with poor environment is generated and fed back, so that on-site maintenance personnel is prompted to configure a more reasonable service environment for the elevator, 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 an embodiment of the present invention, the method further includes:
s501) acquiring model information or production batch number information of the elevator component under the condition that the quality evaluation result of the elevator component is that the quality is unqualified;
S502) generating part replacement alarm information corresponding to the model information or the production lot number information;
S503) feeding back the part replacement alarm information.
In one possible implementation manner, after the quality evaluation is performed on the part of an elevator, the cloud server determines that the quality evaluation result is unqualified, namely the fault rate or the abnormal rate of the part is higher, and the service life is shorter, so that the model information or the production batch information of the part of the elevator is immediately acquired, and corresponding part replacement alarm information is generated. Of course, the cloud server may further obtain, after determining that the quality of a part is not qualified, whether the quality evaluation result of the part with the same model or the same production lot number in other elevators is still not qualified, for example, in one embodiment, the cloud server detects that the number of unqualified parts with the model or the production lot number reaches a preset number threshold, so that part replacement alarm information corresponding to the model information or the production lot number information of the part is generated and fed back, 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 maintenance personnel corresponding to all elevators related to the part, so as to warn an elevator manufacturer, or prompt related maintenance personnel to replace the part in advance, so as to avoid frequent sending of faults or anomalies, thereby effectively improving use safety and stability of the elevator, reducing failure rate or anomaly rate of the elevator, and improving user experience.
An elevator evaluation device based on an information physical system according to an embodiment of the present invention will be described below 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 device based on an information physical system, the device including: the first information acquisition unit is used for acquiring the part information of the elevator parts; a first information extraction unit, configured to extract evaluation information corresponding to the elevator component information from the component information, where the evaluation information includes damage test information of the elevator component; a second information extraction unit for extracting history sensing information and history operation information of the elevator component from the component information; and the quality evaluation unit is used for generating a quality evaluation result of the elevator component 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: before generating a quality evaluation result of the elevator component, acquiring a failure rate of the elevator component; the quality assessment unit is further configured to: and generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical running information under the condition that the failure rate is larger than a preset failure 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 elevator vicinity where the elevator component is located, and the quality evaluation unit includes: a first damage assessment module for determining first damage data for the elevator component based on the historical electrical sensing information and the damage test information; a second damage assessment module for determining second damage data for the elevator component based on the historical weather sensing information and the damage test information; a third damage assessment module for determining third damage data for the elevator component based on the historical operating information and the damage test information; a total damage determination module for generating total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data; and the quality evaluation module is used for generating a quality evaluation result of the elevator component based on the total damage data and the 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 the 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 value is smaller than or equal to the preset deviation; judging whether the historical sensing information and the historical operation information have out-of-standard parameter information or not under the condition that the first difference value is larger than the preset deviation; correcting the estimated service life based on the over-standard parameter information under the condition that the over-standard parameter information exists, and obtaining the corrected estimated service life; acquiring a second difference value between the corrected estimated life and the rated service life; generating a quality assessment result with qualified quality and generating and feeding back environment warning information under the condition that the second difference value is smaller than or equal to the preset deviation; and generating a quality evaluation result with unqualified quality under the condition that the out-of-standard parameter information does not exist or the second difference value 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: acquiring model information or production batch number information of the elevator component under the condition that the quality evaluation result of the elevator component is that the quality is unqualified; generating part replacement alarm information corresponding to the model information or the production lot number information; and feeding back the part replacement alarm information.
The foregoing details of the optional implementation of the embodiment of the present invention have been described in conjunction with the accompanying drawings, but the embodiment of the present invention is not limited to the specific details of the foregoing implementation, and various simple modifications may be made to the technical solution of the embodiment of the present invention within the scope of the technical concept of the embodiment of the present invention, where all the simple modifications belong to the protection scope of the embodiment of the present invention.
In addition, the specific features described in the above embodiments may be combined in any suitable manner without contradiction. In order to avoid unnecessary repetition, various possible combinations of embodiments of the present invention are not described in detail.
Those skilled in the art will appreciate that all or part of the steps in implementing the methods of the embodiments described above may be implemented by a program stored in a storage medium, including instructions for causing a single-chip microcomputer, chip or processor (processor) to perform all or part of the steps of the methods of the embodiments described herein. And the aforementioned storage medium includes: a usb disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In addition, any combination of various embodiments of the present invention may be performed, so long as the concept of the embodiments of the present invention is not violated, and the disclosure of the embodiments of the present invention should also be considered.
Claims (6)
1. An elevator assessment method based on an information physical system, which is applied to a cloud server, 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 real-time control instructions of the cloud server, and the method comprises the following steps:
Acquiring part information of elevator parts;
Extracting evaluation information corresponding to the elevator component from the component information, wherein the evaluation information comprises damage test information of the elevator component;
extracting historical sensing information and historical operation information of the elevator component from the component information;
generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical operating information;
The historical sensing information comprises historical electrical sensing information of the elevator component and historical weather sensing information of the elevator component nearby, and the quality evaluation result of the elevator component is generated based on the evaluation information, the historical sensing information and the historical running information, and the method comprises the following steps:
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 of the elevator component based on the total damage data and the rated service life of the elevator component;
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 the 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 value is smaller than or equal to the preset deviation;
judging whether the historical sensing information and the historical operation information have out-of-standard parameter information or not under the condition that the first difference value is larger than the preset deviation;
Correcting the estimated service life based on the over-standard parameter information under the condition that the over-standard parameter information exists, and obtaining the corrected estimated service life;
acquiring a second difference value between the corrected estimated life and the rated service life;
Generating a quality assessment result with qualified quality and generating and feeding back environment warning information under the condition that the second difference value is smaller than or equal to the preset deviation;
And generating a quality evaluation result with unqualified quality under the condition that the out-of-standard parameter information does not exist or the second difference value is larger than the preset deviation.
2. The method according to claim 1, wherein the method further comprises:
Before generating a quality evaluation result of the elevator component, acquiring a failure rate of the elevator component;
And generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical running information under the condition that the failure rate is larger than a preset failure rate.
3. The method according to claim 1, wherein the method further comprises:
Acquiring model information or production batch number information of the elevator component under the condition that the quality evaluation result of the elevator component is that the quality is unqualified;
Generating part replacement alarm information corresponding to the model information or the production lot number information;
And feeding back the part replacement alarm information.
4. An information physical system-based elevator assessment apparatus, the apparatus comprising:
The first information acquisition unit is used for acquiring the part information of the elevator parts;
A first information extraction unit, configured to extract evaluation information corresponding to the elevator component from the component information, where the evaluation information includes damage test information of the elevator component;
A second information extraction unit for extracting history sensing information and history operation information of the elevator component from the component information;
A quality evaluation unit for generating a quality evaluation result of the elevator component based on the evaluation information, the history sensing information and the history operation information;
the historical sensing information comprises historical electrical sensing information of the elevator component and historical weather sensing information of the elevator nearby the elevator where the elevator component is located, and the quality evaluation unit comprises:
A first damage assessment module for determining first damage data for the elevator component based on the historical electrical sensing information and the damage test information;
a second damage assessment module for determining second damage data for the elevator component based on the historical weather sensing information and the damage test information;
A third damage assessment module for determining third damage data for the elevator component based on the historical operating information and the damage test information;
a total damage determination module for generating total damage data for the elevator component based on the first damage data, the second damage data, and the third damage data;
The quality evaluation module is used for generating a quality evaluation result of the elevator component based on the total damage data and the rated service life of the elevator component;
The quality evaluation module is used for:
determining an estimated service life of the elevator component based on the total damage data;
judging whether the 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 value is smaller than or equal to the preset deviation;
judging whether the historical sensing information and the historical operation information have out-of-standard parameter information or not under the condition that the first difference value is larger than the preset deviation;
Correcting the estimated service life based on the over-standard parameter information under the condition that the over-standard parameter information exists, and obtaining the corrected estimated service life;
acquiring a second difference value between the corrected estimated life and the rated service life;
Generating a quality assessment result with qualified quality and generating and feeding back environment warning information under the condition that the second difference value is smaller than or equal to the preset deviation;
And generating a quality evaluation result with unqualified quality under the condition that the out-of-standard parameter information does not exist or the second difference value is larger than the preset deviation.
5. The apparatus of claim 4, further comprising a condition monitoring unit configured to:
Before generating a quality evaluation result of the elevator component, acquiring a failure rate of the elevator component;
the quality assessment unit is further configured to: and generating a quality evaluation result of the elevator component based on the evaluation information, the historical sensing information and the historical running information under the condition that the failure rate is larger than a preset failure rate.
6. The apparatus of claim 4, further comprising an alarm unit for:
Acquiring model information or production batch number information of the elevator component under the condition that the quality evaluation result of the elevator component is that the quality is unqualified;
Generating part replacement alarm information corresponding to the model information or the production lot number information;
And feeding back the part replacement alarm information.
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