CN108357997B - Life cycle detection method, device and system and elevator - Google Patents
Life cycle detection method, device and system and elevator Download PDFInfo
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- CN108357997B CN108357997B CN201810007615.5A CN201810007615A CN108357997B CN 108357997 B CN108357997 B CN 108357997B CN 201810007615 A CN201810007615 A CN 201810007615A CN 108357997 B CN108357997 B CN 108357997B
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0037—Performance analysers
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B27/00—Indicating operating conditions of escalators or moving walkways
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B29/00—Safety devices of escalators or moving walkways
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
Abstract
The invention relates to a life cycle detection method, a life cycle detection device, a life cycle detection system and an elevator. The method comprises the following steps: acquiring parameter information and working condition information of a designated component in an elevator; determining life cycle information of each part by combining a pre-constructed big data analysis model according to parameter information and working condition information of each part; and determining the life cycle information of the elevator according to the life cycle information of each part. The invention solves the problem that the life cycle information of the elevator in practical application occasions cannot be effectively obtained, and can effectively obtain the life cycle information of the elevator in practical operation environments.
Description
Technical Field
The invention relates to the technical field of elevator detection, in particular to a life cycle detection method, a life cycle detection device, a life cycle detection system and an elevator.
Background
At present, maintenance management of elevators such as elevators or escalators is performed periodically, for example, the elevators are checked once a week or every month, life cycle information of the elevators is obtained by combining service life evaluation of the elevators according to configuration or model of the elevators, accurate life cycle information of the elevators in practical application occasions is difficult to obtain effectively, and operation safety of the elevators is not guaranteed.
disclosure of Invention
Therefore, it is necessary to provide a life cycle detection method, device, system and elevator for solving the problem that the life cycle information of the elevator in practical application occasions cannot be effectively known in the conventional mode.
the scheme provided by the embodiment of the invention comprises the following steps:
in one aspect, a life cycle detection method is provided, including:
Acquiring parameter information and working condition information of a designated component in an elevator;
Determining life cycle information of each part by combining a pre-constructed big data analysis model according to parameter information and working condition information of each part;
And determining the life cycle information of the elevator according to the life cycle information of each part.
in one embodiment, obtaining parameter information for a designated component in an elevator comprises: acquiring at least one of manufacturer information, model number and rated operation environment information of a designated component in an elevator;
and/or the presence of a gas in the gas,
The method for acquiring the working condition information of the designated part in the elevator comprises the following steps: acquiring at least one of working time, action times, maintenance records, fault records and actual operation environment information of a designated component in the elevator;
and/or the presence of a gas in the gas,
The specified parts package: at least one of elevator master control, handrail area, step, car, converter, motor, cable.
In one embodiment, the step of determining the life cycle of each component by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each component comprises the following steps: determining the stage of each part in the complete life cycle of each part by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each part;
The life cycle detection method further comprises the following steps: the life cycle of a component is divided into a plurality of phases in advance.
In one embodiment, the step of determining the life cycle information of the elevator on the basis of the life cycle information of the components comprises:
Sequencing all the designated components according to the stages of the designated components in the complete life cycle, and excluding the components sequenced at two ends; and determining the life cycle information of the elevator according to the remaining components and the life cycle information corresponding to the remaining components.
in one embodiment, the step of determining the life cycle information of the elevator from the remaining components and their corresponding life cycle information comprises:
and acquiring the influence coefficients corresponding to the components, and determining the life cycle information of the elevator by a weighted average method according to the influence coefficients of the components and the life cycle information corresponding to the components.
In one embodiment, after the step of determining the life cycle information of each component by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each component, the method further includes:
And detecting whether the current life cycle information of each part reaches a set replacement condition, and if so, outputting information of replacing or maintaining the part.
Another aspect provides a life cycle detecting device, comprising:
the information acquisition module is used for acquiring parameter information and working condition information of a designated component in the elevator;
The first prediction module is used for determining the life cycle information of each part by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each part;
And the second prediction module is used for determining the life cycle information of the elevator according to the life cycle information of each part.
Yet another aspect provides an elevator comprising a controller and a sensing element in signal communication with the controller, the sensing element further electrically connected to a designated component in the elevator;
The detection element is used for acquiring parameter information and working condition information of the corresponding part and sending the parameter information and the working condition information to the controller;
And the controller sends the received component information to a corresponding server.
still another aspect provides a life cycle detecting system, comprising a server and the elevator;
And the server determines the life cycle information of each part according to the part information sent by the controller and a big data analysis model which is constructed locally in advance, and determines the life cycle information of the elevator according to the life cycle information of each part.
a further aspect provides a computer apparatus comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps of the method described above when executing the program.
The implementation of the above embodiment has the following beneficial effects: according to the parameter information and the working condition information of the designated components in the elevator acquired in real time, the life cycle information of each component can be determined by combining a big data analysis model constructed in advance; and then according to the life cycle information of each part, the life cycle information of the elevator can be effectively determined. By the method, the current life cycle information of the elevator can be obtained based on the actual running condition of the elevator, the detection result is accurate, and the running safety of the elevator is guaranteed.
drawings
FIG. 1 is a diagram of an exemplary embodiment of a lifecycle detection method;
FIG. 2 is a schematic flow chart diagram of a lifecycle detection method of an embodiment;
FIG. 3 is a schematic diagram of a lifecycle detection method of an embodiment;
FIG. 4 is a schematic diagram of a big data system platform implementation of an embodiment;
FIG. 5 is a schematic block diagram of a life cycle detecting apparatus according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
The terms "comprises" and "comprising," and any variations thereof, of embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or (module) elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
reference herein to "a plurality" means two or more. "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. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Fig. 1 is an application environment diagram of the life cycle detection method in one embodiment, including an elevator and a server. The elevator comprises an elevator master control and a detection element, wherein the detection element is in signal connection with the elevator master control and is also electrically connected with a designated part in the elevator; the detection element can acquire parameter information of the corresponding part, can also acquire working condition information of the corresponding part in real time and sends the working condition information to the elevator master control; the elevator master control can be connected with a corresponding server through a network. A big data platform is constructed in the server, wherein the big data platform contains big data information of elevator components provided by different manufacturers; the server can analyze and determine the life cycle information of each part according to the part information sent by the elevator end and the server data platform, and determine the life cycle information of the elevator according to the life cycle information of each part.
Wherein the designated parts can be main parts in the elevator, including but not limited to elevator master control, handrail belt, steps, car, frequency converter, motor and/or cable, etc.
with reference to fig. 1 and the above description of the application environment, the following describes an embodiment of the lifecycle detection method.
although the steps in the embodiments of the present invention are arranged by using the reference numerals, the order of the steps is not limited to be limited, and the relative order of the steps can be adjusted unless the order of the steps is explicitly described or other steps are required for performing a step.
FIG. 2 is a schematic flow chart diagram of a lifecycle detection method of an embodiment; as shown in fig. 2, the life cycle detecting method in this embodiment includes the steps of:
S11, acquiring parameter information and working condition information of the designated parts in the elevator;
In one embodiment, the parameter information of the component includes, but is not limited to: manufacturer information, model number and/or rated operating environment information; the operating condition information of the component includes, but is not limited to: working hours, number of actions, maintenance records, fault records, and/or actual operating environment information. The operating environment information includes temperature information, humidity information, operating current/voltage information, and the like.
Optionally, the specifying means comprises: at least one of elevator master control, handrail area, step, car, converter, motor, cable.
And S12, determining the life cycle information of each component by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each component.
The big data analysis model can be obtained by integrating the big data information of the elevator components provided by different manufacturers. The determining of the life cycle information of each component may be determining life cycle information (i.e., a complete life cycle) of each component, or determining a stage of each component currently in the complete life cycle, which is equivalent to determining wear level information of each component.
and S13, determining the life cycle information of the elevator according to the life cycle information of each component.
Wherein, the determination of the current life cycle information of the elevator can be the determination of the life cycle information (i.e. the complete life cycle) of the elevator, or the determination of the current stage of the elevator in the complete life cycle thereof, which is equivalent to the determination of the wear level information of the elevator.
in one embodiment, the obtaining parameter information of a designated component in an elevator specifically includes: acquiring at least one of manufacturer information, model number and rated operation environment information of a designated component in an elevator; the obtaining of the operating condition information of the designated component in the elevator may specifically include: and acquiring at least one of working time, action times, maintenance records, fault records and actual operation environment information of a designated component in the elevator. Specifically, the parameter information and the working condition information of the designated parts in the elevator can be set according to different types of elevators. For example: for the elevator and the escalator, the corresponding designated parts may be different, and the parameter information and the working condition information corresponding to each designated part may also be different.
Through the embodiment, the running state information of the designated components in the elevator can be obtained in real time, and the life cycle information of the components in the elevator can be predicted in real time.
In one embodiment, the step of determining the life cycle of each component by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each component comprises the following steps: and determining the stage of each part in the complete life cycle by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each part. Correspondingly, the life cycle detection method may further include the steps of: the life cycle of a component is divided into a plurality of phases in advance. For example, the life cycle of each component is divided into 1-3 stages, wherein the stage 1 shows that the performance of each component belongs to a high level, the stage 3 shows that the performance of each component is weak, and the stage 2 shows that the performance of each component belongs to a medium level. Of course, the life cycle of each part can be divided into different stages, such as 1-5 stages, according to actual conditions. It will be appreciated that the lifecycle model can also be continuously adjusted and optimized based on statistics and accumulations of big data.
Further, it is thus possible to determine the phase in which the elevator is in its complete life cycle. The elevator maintenance system is convenient for workers to clearly know the information of the current life state of the elevator, is beneficial to arranging the maintenance or the maintenance work of the elevator in advance, and can also carry out the maintenance and the maintenance work in different degrees in a targeted manner according to different life cycle stages of the elevator equipment.
in one embodiment, the step of determining the life cycle information of the elevator on the basis of the life cycle information of the components comprises: sequencing all the designated components according to the stages of the designated components in the complete life cycle, and excluding the components sequenced at two ends; and determining the life cycle information of the elevator according to the remaining components and the life cycle information corresponding to the remaining components. Through the embodiment, the life cycle information of the elevator is determined after the components which are sequenced at the two ends are eliminated, so that the accuracy of determining the life cycle information of the elevator can be further improved.
in one embodiment, the step of determining the life cycle information of the elevator from the remaining components and their corresponding life cycle information comprises: and acquiring the influence coefficients corresponding to the components, and determining the life cycle information of the elevator by a weighted average method according to the influence coefficients of the components and the life cycle information corresponding to the components. Namely, the influence coefficients corresponding to all the parts are used as weight coefficients to carry out weighted average on the life cycle information of all the parts, and the whole life cycle information of the elevator is obtained.
The life cycle information of each part is considered comprehensively, so that the obtained whole life cycle information of the elevator is more reasonable. It is understood that, among other things, the influence coefficients corresponding to the respective components may be preset based on actual conditions.
in one embodiment, after the step of determining the life cycle information of each component by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each component, the method further includes: and detecting whether the current life cycle information of each part reaches a set replacement condition, and if so, outputting information of replacing or maintaining the part. For example, when the stage of a certain part in the complete life cycle is found to be the last stage, prompt information is output to remind workers of replacing the part technically, and elevator accidents caused by the part faults are avoided; when a certain part is found to be in the middle stage of the life cycle of the part, prompt information is output to remind a worker to carry out targeted and accurate overhaul or maintenance on the corresponding part; when a certain part is found to be in the early stage of the life cycle of the part, the prompt message is output to remind a worker to carry out routine inspection on the part, even the prompt message is not output, and maintenance is not needed. The life cycle information of each component can be detected, and basis can be provided for elevator equipment manufacturers to select types of the components according to different application places, use environments and equipment use conditions.
In conjunction with the above embodiments, the life cycle detection method herein is exemplified below by way of example of an escalator, as shown in fig. 3 and 4.
The escalator control system comprises various sensors, encoders, switches and other detection elements which are arranged on the escalator in advance, wherein the detection elements acquire information such as working time, action times, working temperature, fault information, parameter change, mechanical part displacement and the like of main parts of the escalator, and in addition, the main controller can also acquire information such as models and specification parameters of all parts of the escalator, maintenance personnel, maintenance time, replacement part records, special equipment inspection licenses and the like. For example: the escalator comprises detection elements such as sensors, rotary knitting, switches, cameras, recording equipment and the like, which are arranged on main components (such as a host, a hand strap, a step, a frequency converter and the like) of the escalator, wherein the detection elements are electrically connected with a main controller of a control system; the main controller obtains working state information such as working time, action times and the like of main components detected by each detection element (such as collecting the rotating speed and the working temperature of a host, the running speed and the temperature of a hand strap, the running track of steps and chains, the displacement or other video information of floor plates, the host and the hand strap, the running sound and other audio information of moving components such as noise of the host, the chains and the steps and the like), and working state information of main components of the main control system (such as the running time, the stop time, the action times and the working temperature of a contactor and a relay, the working time of a frequency converter, the module temperature, bus voltage and capacitor charging and discharging time), and maintenance records such as the model and specification parameters of an elevator, the maintenance time and the replacement components and the like; the special equipment checks information such as license number, date, etc.
The information that escalator main control unit gathered can access WLAN wireless local area network through wireless communication standard (like WIFI standard etc.), or internet world wide web or thing networking, finally realize that escalator data passes to the server through world wide web or thing networking on-line, the server has the relevant server data platform of equipment manufacturer, through the real-time data that the elevator end uploaded with server data platform.
The server analyzes and calculates the running state and working condition of each main component through the data, compares the running state and working condition with the default service life of each main component, and predicts and calculates the life cycle of the main components of the escalator; the design of the main parts of the escalator can carry out part type selection according to the life cycle data, design equipment meeting the corresponding environment and use requirements, and simultaneously can also formulate a more accurate maintenance scheme according to the data; the occurrence of fault ladder stopping events is reduced and avoided, and the normal and stable operation of the escalator is ensured.
In addition, the life cycle information of each main component is analyzed through big data processing, whether the component needs to be adjusted, repaired or replaced or not can be judged, and a basis is provided for maintenance of the elevator.
In one embodiment, the main controller can analyze and comprehensively judge the collected various information, and the working state of each component and the pre-judgment result of the life cycle stage of the component can be obtained according to the variation trend of the data corresponding to the component.
In an embodiment, the server may be a computer server platform for data computation, and the server may further send the collected data to other computers or data computation platforms for analysis processing, and may send the collected data to other computers or data computation platforms for data sharing.
it should be noted that, for the sake of simplicity, the foregoing method embodiments are described as a series of acts or combinations, but those skilled in the art should understand that the present invention is not limited by the described order of acts, as some steps may be performed in other orders or simultaneously according to the present invention. Further, the above embodiments may be arbitrarily combined to obtain other embodiments.
In addition, the invention also provides an embodiment of the elevator, which comprises a controller and a detection element, wherein the detection element is in signal connection with the controller, and is also electrically connected with a designated component in the elevator. The detection element is used for acquiring parameter information and working condition information of the corresponding part and sending the parameter information and the working condition information to the controller; and the controller sends the received component information to a corresponding server.
In addition, the invention also provides an embodiment of the life cycle detection system, which comprises the server and the elevator in the embodiment. And the server determines the life cycle information of each part according to the part information sent by the controller and a big data analysis model which is constructed locally in advance, and determines the life cycle information of the elevator according to the life cycle information of each part.
furthermore, the present invention also provides an embodiment of a life cycle detection apparatus, which can be used to perform the life cycle detection method described above, based on the same idea as the life cycle detection method in the above embodiment. For convenience of illustration, the structure of the embodiment of the life cycle detecting device is only shown in the schematic diagram, and those skilled in the art will understand that the illustrated structure does not constitute a limitation to the device, and may include more or less components than those illustrated, or combine some components, or arrange different components.
in addition, the information acquired based on the method can be provided for a corresponding server to record, so that problems caused by information incoherence or maintenance data loss when the equipment is maintained by different maintenance units can be monitored and managed, or accident analysis is facilitated.
FIG. 4 is a schematic structural diagram of a life cycle detecting device according to an embodiment of the invention; as shown in fig. 4, the life cycle detecting apparatus of the present embodiment includes:
the information acquisition module is used for acquiring parameter information and working condition information of a designated component in the elevator;
the first prediction module is used for determining the life cycle information of each part by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each part;
And the second prediction module is used for determining the life cycle information of the elevator according to the life cycle information of each part.
In one embodiment, the information obtaining module for obtaining parameter information of a designated component in an elevator comprises: acquiring at least one of manufacturer information, model number and rated operation environment information of a designated component in an elevator; and/or, acquiring the working condition information of the designated part in the elevator comprises the following steps: and acquiring at least one of the working time, the action times, the maintenance record, the fault record and the actual operation environment information of the designated component in the elevator.
In one embodiment, the specifying means includes: at least one of elevator master control, handrail area, step, car, converter, motor, cable.
In an embodiment, the first prediction module is configured to determine, according to parameter information and operating condition information of each component, a phase of each component in a complete life cycle of each component in combination with a big data analysis model that is constructed in advance. Correspondingly, the life cycle detection device further comprises: a module divides a life cycle of a component into a plurality of stages in advance.
In an embodiment, the second prediction module is configured to rank all the designated components according to the phases of the designated components in the complete life cycle, and exclude the components ranked at both ends; and determining the life cycle information of the elevator according to the remaining components and the life cycle information corresponding to the remaining components.
further, the second prediction module is configured to obtain an influence coefficient corresponding to each component, and determine the life cycle information of the elevator by a weighted average method according to the influence coefficient of the component and the life cycle information corresponding to the component.
Further, the life cycle detecting device may further include: and the prompting module is used for detecting whether the current life cycle information of each part reaches a set replacement condition or not, and if so, outputting the information of replacing the part.
It should be noted that, the life cycle detecting apparatus and the life cycle detecting method of the present invention are based on the same concept, and in the implementation of the life cycle detecting apparatus, the information interaction, the execution process, and other contents between the modules correspond to the above method embodiments one to one. The technical features and advantages described in the embodiments of the life cycle detecting method are applicable to the embodiments of the life cycle detecting apparatus, and thus the present invention is claimed.
In addition, in the embodiment of the lifecycle detection apparatus illustrated above, the logical division of each program module is only an example, and in practical applications, the above functions may be allocated by different program modules according to needs, for example, due to the configuration requirements of corresponding hardware or the convenience of implementation of software, that is, the internal structure of the lifecycle detection apparatus is divided into different program modules to complete all or part of the above described functions.
It will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program, which is stored in a computer readable storage medium and sold or used as a stand-alone product. When executed, the program may perform all or a portion of the steps of the methods of the various embodiments described above. The storage medium may be a magnetic disk, an optical disk, a Read-only Memory (ROM), a Random Access Memory (RAM), or the like.
Accordingly, in an embodiment, a storage medium is further provided, on which a computer program is stored, wherein the program, when executed by a processor, implements any one of the life cycle detection methods as in the above embodiments.
In addition, the storage medium may be provided in a computer device, and the computer device further includes a processor, and when the processor executes the program in the storage medium, all or part of the steps of the method in the foregoing embodiments can be implemented.
Accordingly, in an embodiment, there is also provided a computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor executes the program to implement the life cycle detection method as in any one of the above embodiments. Optionally, the processor may obtain parameter information and operating condition information of the component acquired by the elevator main controller, so as to implement any one of the life cycle detection methods in the above embodiments when executing the program.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
It is to be understood that the terms "first \ second \ third" and "third" used in the embodiments of the present invention are merely used for distinguishing similar objects, and do not represent a specific ordering of the objects, and it is to be understood that "first \ second \ third" and "first \ second \ third" may be interchanged with a specific order or sequence, where the context allows. It should be understood that the terms first, second, and third, as used herein, are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or otherwise described herein.
The above-described examples merely represent several embodiments of the present invention and should not be construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. a life cycle detection method, comprising:
Acquiring parameter information and working condition information of a designated component in an elevator;
Determining life cycle information of each part by combining a pre-constructed big data analysis model according to parameter information and working condition information of each part; the method comprises the following steps: determining the stage of each part in the complete life cycle of each part by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each part; sequencing all the designated components according to the stages of the designated components in the complete life cycle, excluding the components sequenced at two ends, and determining the life cycle information of the elevator according to the remaining components and the life cycle information corresponding to the remaining components;
and determining the life cycle information of the elevator according to the life cycle information of each part.
2. The life cycle detection method of claim 1,
Acquiring parameter information of a designated component in an elevator comprises: acquiring at least one of manufacturer information, model number and rated operation environment information of a designated component in an elevator;
And/or the presence of a gas in the gas,
The method for acquiring the working condition information of the designated part in the elevator comprises the following steps: and acquiring at least one of the working time, the action times, the maintenance record, the fault record and the actual operation environment information of the designated component in the elevator.
3. The life cycle detection method according to claim 1 or 2,
The specifying means includes: at least one of elevator master control, handrail area, step, car, converter, motor, cable.
4. The life cycle detection method according to claim 1 or 2,
The life cycle detection method further comprises the following steps: the life cycle of a component is divided into a plurality of phases in advance.
5. The life cycle detection method of claim 1, wherein the step of determining life cycle information for the elevator based on the remaining components and their corresponding life cycle information comprises:
And acquiring the influence coefficients corresponding to the components, and determining the life cycle information of the elevator by a weighted average method according to the influence coefficients of the components and the life cycle information corresponding to the components.
6. The life cycle detection method according to claim 1, 2 or 5, wherein after the step of determining the life cycle information of each component by combining the pre-constructed big data analysis model according to the parameter information and the working condition information of each component, the method further comprises the following steps:
and detecting whether the current life cycle information of each part reaches a set replacement condition, and if so, outputting information of replacing or maintaining the part.
7. a life cycle detection apparatus, comprising:
The information acquisition module is used for acquiring parameter information and working condition information of a designated component in the elevator;
the first prediction module is used for determining the life cycle information of each part by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each part; the method is specifically used for: determining the stage of each part in the complete life cycle of each part by combining a pre-constructed big data analysis model according to the parameter information and the working condition information of each part; sequencing all the designated components according to the stages of the designated components in the complete life cycle, excluding the components sequenced at two ends, and determining the life cycle information of the elevator according to the remaining components and the life cycle information corresponding to the remaining components;
And the second prediction module is used for determining the life cycle information of the elevator according to the life cycle information of each part.
8. An elevator, characterized in that it comprises a controller and a detection element, which is in signal connection with the controller and which is also in electrical connection with a designated component in the elevator;
The detection element is used for acquiring parameter information and working condition information of the corresponding part and sending the parameter information and the working condition information to the controller;
The controller sends the component information received by the controller to a corresponding server, and the server is triggered to execute the method of any one of claims 1 to 6.
9. A life cycle detection system comprising a server and the elevator of claim 8;
The server executes the method of any one of claims 1 to 6 according to the component information sent by the controller and a local pre-constructed big data analysis model.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the steps of the method of any of claims 1 to 6 are performed when the program is executed by the processor.
11. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 6.
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| CN109368433B (en) * | 2018-10-16 | 2020-12-15 | 宁波欣达（集团）有限公司 | Method and system for analyzing big data of multiple elevators based on Internet of things technology |
| CN109592525A (en) * | 2018-12-07 | 2019-04-09 | 上海辛格林纳新时达电机有限公司 | Elevator frequency converter fault diagnosis system and method |
| US11597629B2 (en) * | 2018-12-27 | 2023-03-07 | Otis Elevator Company | Elevator system operation adjustment based on component monitoring |
| CN114314228A (en) * | 2020-09-29 | 2022-04-12 | 思维实创(哈尔滨)科技有限公司 | Calculation method of elevator maintenance period model based on big data |
| CN112390108B (en) * | 2020-11-06 | 2023-04-25 | 日立楼宇技术（广州）有限公司 | Elevator fault pre-diagnosis method, device, equipment and storage medium |
| CN114135450A (en) * | 2021-12-20 | 2022-03-04 | 博明创能(天津)科技有限公司 | Full life cycle detection method for wind driven generator |
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| JP5388060B2 (en) * | 2009-07-13 | 2014-01-15 | 東芝エレベータ株式会社 | Elevator parts improvement planning system and parts improvement planning method thereof |
| JP6057025B2 (en) * | 2014-06-26 | 2017-01-11 | 三菱電機ビルテクノサービス株式会社 | Elevator parts demand forecast system |
| CN105035902B (en) * | 2015-08-10 | 2017-11-21 | 广州特种机电设备检测研究院 | A kind of elevator safety condition evaluation method |
| CN105752783B (en) * | 2016-01-29 | 2019-06-04 | 重庆和航科技股份有限公司 | Quality of elevator integrated evaluating method and system |
| CN105775943A (en) * | 2016-04-12 | 2016-07-20 | 广州深度数据科技有限公司 | Data driven elevator part early warning system and method |
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