CN102923538A - Elevator health management and maintenance system based on Internet of things and collection and assessment method - Google Patents

Elevator health management and maintenance system based on Internet of things and collection and assessment method Download PDF

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CN102923538A
CN102923538A CN2012102341675A CN201210234167A CN102923538A CN 102923538 A CN102923538 A CN 102923538A CN 2012102341675 A CN2012102341675 A CN 2012102341675A CN 201210234167 A CN201210234167 A CN 201210234167A CN 102923538 A CN102923538 A CN 102923538A
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elevator
maintenance
module
internet
cloud platform
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宗群
李光宇
郭萌
张景龙
曲照伟
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Tianjin University
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Tianjin University
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Abstract

The invention relates to an elevator health management and maintenance system based on the Internet of things and a collection and assessment method, wherein the elevator health management and maintenance system based on the Internet of things comprises a perception layer, a network layer and an application layer which are sequentially communicated through a network, the perception layer performs communication with the network layer by a VPN (virtual private network) or M2M (machine-to-machine), and the perception layer comprises a plurality of elevator data collection terminals which are respectively correspondingly arranged on a plurality of elevator controllers and have the same structure; the network layer comprises a cloud computing platform, a management center of the Internet of things and a GPRS (general packet radio service), 3G (third generation) and 4G (fourth generation) network management system; and the application layer comprises an elevator mass data processing module, an elevator health assessment module and an elevator intelligent maintenance module which are sequentially connected. The elevator health management and maintenance system disclosed by the invention can support large-scale elevator health monitoring and maintenance, is favorable for reducing the elevator maintenance cost and improving the elevator maintenance efficiency, and can keep minimal maintenance resource demands in reliability, availability and safety.

Description

Elevator health control and maintenance system and collection and appraisal procedure based on Internet of Things
Technical field
The present invention relates to a kind of elevator.Particularly relate to a kind of elevator health control and maintenance system and collection and appraisal procedure based on Internet of Things based on Internet of Things.
Background technology
Because recent year elevator quantity increases rapidly, the elevator faults rate significantly rises, and serious elevator accident quantity has the trend of remarkable rising.Only maintain by isolated elevator maintain and protection company that not only efficient is not high, repair quality is on the low side, and whole elevator reparing industry lacks a kind of elevator safety evaluation criteria, unified Safety Management Measures also has no way of implementing.Unification for from technological layer and management two aspects, side realization elevator safety and maintenance criterion improves maintenance efficiency, improves the elevator safety performance, needs a kind of safe operation that guarantees all elevators based on elevator health control and the intelligent maintenance system of Internet of Things.
Mainly there are two problems in present domestic elevator safety area of maintenance: the one, and the loss that passive maintenance can't Reduction of failure brings, the 2nd, the maintenance decision system of shortage science causes that the elevator maintenance cost is high, efficient is low.Elevator device lacks for a long time to Fault Forecasting, also lacks the method for maintaining based on failure prediction, and when fault is concentrated outburst, Maintenance Resource is allocated when unreasonable, and breakdown loss can increase greatly.The maintenance decision system of science can alleviate " maintenance lacks " and problems such as " maintenance are superfluous " greatly, is conducive to improve the elevator safety performance.
Internet of Things provides the management and service functions such as the controlled and even Extraordinary elevator real time on-line monitoring of safety, elevator faults location are reviewed, elevator warning interlock, fault statistics form, elevator reparing decision support, realizes the intelligence to elevator, quick, networked safety support.Elevator network monitoring diagnosis system, elevator intelligent maintenance decision system are the key areas of Internet of Things research, have wide development and application prospect.Internet of Things promotes industrialization and informationalized fusion, and Internet of Things not only will make information techenology obtain more wide application space, and will have an immense impact on to operation, the maintenance technology development of elevator industry.
Summary of the invention
Technical matters to be solved by this invention is to provide a kind of reduction maintenance cost and breakdown loss, elevator health control and maintenance system and collection and the appraisal procedure based on Internet of Things of raising maintenance efficiency.
The technical solution adopted in the present invention is: a kind of elevator health control and maintenance system and collection and appraisal procedure based on Internet of Things, wherein, elevator health control and maintenance system based on Internet of Things, there are sensing layer, network layer and application layer to communicate by network successively, wherein, described sensing layer and network layer are to communicate by VPN or M2M, and described sensing layer includes a plurality of respectively corresponding identical elevator data collection stations of structure that are arranged on a plurality of electric life controllers; Described network layer comprises cloud computing platform, Internet of Things administrative center and GPRS, 3G, 4G network management system; Described application layer includes elevator mass data processing module, elevator health evaluating module and the elevator intelligent maintenance module that connects successively.
Described elevator data collection station includes a machine state sensor, the car limit position sensor, the lift car leveling position transduser, temperature sensor, power supply main circuit current sensor, the cage operation noise transducer, cage operation speed sensor and cage operation acceleration pick-up, wherein, described door machine state sensor, the car limit position sensor is connected photoisolator and connects the CPU minimum system with the lift car leveling position transduser, described temperature sensor, power supply main circuit current sensor is connected A/D converter and connects the CPU minimum system with the cage operation noise transducer, described cage operation noise transducer, the cage operation speed sensor is connected the CAN bus interface and connects the CPU minimum system with the cage operation acceleration pick-up, described CPU minimum system connects electric life controller by the RS232 interface, and communicates by GPRS module and network layer.
Described cloud computing platform includes the computer cluster that receives elevator data collection station information by the internet, the elevator cloud platform node server that is connected with the output of computer cluster and be arranged on Applied layer interface on the elevator cloud platform node server, be provided with elevator cloud node resource administration module in the described elevator cloud platform node server, the elevator cloud platform nodal information administration module and the metadata management module that link to each other with described elevator cloud node resource administration module respectively also are provided with the elevator cloud platform node resource administration module that links to each other with described metadata management module.
Described elevator cloud node resource administration module includes elevator cloud platform resource management interface, elevator cloud platform configuration administrative unit and the elevator cloud platform storage monitoring unit that interconnects and be connected with the output of computer cluster respectively.
Described elevator cloud platform nodal information administration module includes interconnective elevator cloud platform node state monitoring unit, elevator cloud platform nodal information monitoring unit and elevator cloud platform nodal information administrative unit, and described elevator cloud platform node state monitoring unit also connects elevator cloud node resource administration module.
Described metadata management module includes metadata storage unit, XML resolution unit and the Classification Management unit that connects successively.
Described elevator cloud platform node resource administration module includes resource mark, resource retrieval and the resource registering that interconnects and be connected with the metadata management module respectively.
Applied layer interface on the described application layer, described elevator mass data processing module, elevator health evaluating module and elevator intelligent maintenance module connect respectively elevator health control data bank and decision support module, the mouth of described decision support module connects user interface, and data analysis unit, failure diagnosis unit, health evaluating unit, life prediction unit and maintenance decision unit are arranged in the described decision support module.
A kind of for based on the elevator health control of Internet of Things and the elevator collecting method of maintenance system elevator data collection station, comprise the steps:
1) program initialization arranges the communication interface;
2) processing of receiving information;
3) executing data parsing algorithm;
4) draw fault pre-alarming or diagnostic message;
5) judged whether failure message, entered next step, continued otherwise return step 2;
6) send failure message to GPRS network;
7) judge whether to withdraw from, be, finish, continue otherwise return step 2.
A kind of for based on the elevator health control of Internet of Things and the elevator health evaluating method of maintenance system elevator health evaluating module, comprise the steps:
1) definition risk analysis scope;
2) set failure mode and carry out consequences analysis;
3) carry out risk analysis;
4) carry out risk assessment and ordering;
5) judge whether safety performance can be accepted, and is, the putting maintenance into practice measure continues otherwise return step 2.
Elevator health control and maintenance system and collection and appraisal procedure based on Internet of Things of the present invention have the following advantages:
(1) solves elevator safety assessment and the standard reunification of safeguarding from technology and two aspects of application, can support the extensive health monitoring of elevator and maintenance, be conducive to reduce the elevator maintenance cost, improved elevator maintenance efficient.
(2) increased the diaphaneity of elevator device safety performance and health status, generation health evaluating report that can be real-time, and consult for repair and maintenance departments, government department and user by Internet of Things, made things convenient for the maintenance of repair and maintenance departments, the supervision of government department and user's use.
(3) determine that by formulating different maintenance policies elevator device keeps the minimal maintenance resource requirement of reliability, availability and safety under normal operating condition.
(4) utilize based on technology of Internet of things, by the unified malfunction coding of standard, realize the interconnecting, eliminate of a large amount of elevator devices and remote service center " information island ".
(5) comprehensive integration condition monitoring Predictive Maintenance information system, based on the maintenance evaluating system of risk and set up on this basis the specialized management systems such as elevator file administration, fault management, maintenance management, realization is based on intelligent maintaining decision-making and the execution of risk and state, foundation realizes the equipment Quantitative Risk Evaluation based on intelligent maintaining decision-making index system and decision-making, execution, feedback, improved information flow and the data exchange flow process of risk and state.
Description of drawings
Fig. 1 is the elevator health control based on Internet of Things of the present invention and maintenance system integral structure figure;
Fig. 2 is elevator data collection station structural representation of the present invention;
Fig. 3 is cloud computing platform structural representation of the present invention;
Fig. 4 is the structural representation of application layer of the present invention;
Fig. 5 is that elevator health control and intelligent maintenance consist of frame diagram;
Fig. 6 is Internet of Things elevator collecting method diagram of circuit;
Fig. 7 is elevator health evaluating method flow diagram.
The specific embodiment
Below in conjunction with embodiment and accompanying drawing the elevator health control based on Internet of Things of the present invention and maintenance system and collection and appraisal procedure are made a detailed description.
The present invention is based on the elevator health control of Internet of Things and maintenance system and collection and appraisal procedure and designed elevator health control and intelligent maintenance system according to the Internet of Things architectural framework, whole system is divided into three levels: sensing layer, network layer and application layer.At sensing layer various kinds of sensors and elevator data collection station are set, sensor is low cost, low-power consumption, multi-functional wireless senser, the elevator data collection station is set simultaneously to be used for the information that wireless senser collects is carried out preliminary processing: carry out sensor data information and merge, eliminate original redundant data and convert uniform layout to sending to far-end; Network layer is forwarded to the elevator status data that receives among the Internet by modes such as long-range VPN, M2M wireless access gateways, guarantee the data transfer quality by Access Control, flow control and error checking, network layer has the effect that connects sensing layer and application layer, transmission of information; Utilize server cluster to build cloud computing platform in the Internet of Things application layer, and under Hadoop distributed software framework, carry out writing of distributed treatment program, formation has the Hadoop server cluster of high-performance treatments ability, the mass data that the large quantity sensor that is distributed in various places produces is processed in real time, and the data after will processing at last send to tension management software and carry out deeper analysis.
Design elevator health control and maintenance software in the Internet of Things framework on upper strata, and elevator faults case library.Software mainly comprises data processing module, elevator health evaluating module and intelligent maintenance module, and data processing module is used for extracting the elevator status data that sensor sends from Internet, and carries out the pretreatments such as data cleaning and feature extraction; The health evaluating module compares for the sensor information that will collect and the corresponding case characteristic information in fault case storehouse, calculate the two similarity by distance algorithm, if the two similarity surpasses certain threshold value, can think that this elevator has the fault possibility identical with this fault case, so inquiry fault case storehouse is extracted the solution of corresponding case and is sent the intelligent maintenance module to.The map plug-in unit that integrating third-party software provides in the intelligent maintenance module, and can obtain in real time to be installed in the locating information that GPS in the elevator and maintainer's cellphone GPS provide, to the order of severity of elevator faults, pressing degree, maintainer's mode of operation and and fault in-situ between distance carry out comprehensive analyses, to can sending early warning information fastest to the maintainer who reaches fault in-situ and be in idle condition at present, and the trouble prevention that will inquire in case library and maintenance suggestion offer the maintainer.The maintainer can take measures rapidly after obtaining repair message by communicating terminals such as mobile phones.In addition, the risk class evaluation table of frequent degree occurs based on the fault order of severity and fault in that sets up, the safety performance of elevator is divided into four grades, has clearly pointed out the state of health of elevator, and formulate maintenance plan and maintenance flow according to the current state of health of elevator.
As shown in Figure 1, elevator health control and maintenance system based on Internet of Things of the present invention, include sensing layer 1 for the elevator data acquisition, be used for the network layer 2 of elevator data transmission and be used for that data are processed and the integrated application layer 3 of function communicates by network successively, wherein, described sensing layer 1 is to communicate by modes such as long-range VPN, M2M wireless access gateways with network layer 2, and described sensing layer 1 includes a plurality of respectively corresponding identical elevator data collection stations 12 of structure that are arranged on a plurality of electric life controllers 11; Described network layer 2 is forwarded to the elevator status data that receives among the Internet by modes such as long-range VPN, M2M wireless access gateways, guarantee the data transfer quality by Access Control, flow control and error checking, network layer has the effect that connects sensing layer and application layer, transmission of information; Described network layer 2 includes cloud computing platform 21, Internet of Things administrative center 22 and GPRS, 3G, 4G network management system 23; Described application layer 3 includes elevator mass data processing module 31, elevator health evaluating module 32 and the elevator intelligent maintenance module 33 that connects successively.
Described elevator data collection station 12 is used for the information that wireless senser collects is carried out preliminary processing: carry out sensor data information and merge, eliminate original redundant data and convert uniform layout to sending to far-end.Comprise a plurality of Boolean value output sensors and a plurality of analog sensor, as shown in Figure 2, described elevator data collection station 12, include a machine state sensor 121, car limit position sensor 122, lift car leveling position transduser 123, temperature sensor 124, power supply main circuit current sensor 125, cage operation noise transducer 126, cage operation speed sensor 127 and cage operation acceleration pick-up 128, wherein, described door machine state sensor 121, car limit position sensor 122 is connected with the lift car leveling position transduser by photoisolator 129 connection CPU minimum systems 1212, described temperature sensor 124, power supply main circuit current sensor 125 is connected with the cage operation noise transducer by A/D converter 1210 connection CPU minimum systems 1212, described cage operation noise transducer 126, cage operation speed sensor 127 is connected with the cage operation acceleration pick-up by CAN bus interface 1211 connection CPU minimum systems 1212, described CPU minimum system 1212 connects electric life controller 11 by RS232 interface 1213, and communicates by GPRS module 1214 and network layer 2.Comprise AT91RM9200 treater and 2 SDRAM that link to each other with the AT91RM9200 treater respectively in the described CPU minimum system, two FLASH and address bus bus.
When fault occurs, parameters in diagnostic code in the electric life controller register system and the current elevator device, as: towing machine rotating speed, car acceleration/accel, frequency converter voltage, inverter current, flat bed signal, the signal of rushing to summit, hit end signal, door machine signal etc.And import in the lump diagnostic code and parameter current into the elevator data collection station.During normal operation, only need to send in real time the elevator data collection station to the current system parameter for failure prediction.Then by the GPRS module trouble diagnosing or information of forecasting are sent to long-range network layer 2.
The develop and field of cloud computing platform takes full advantage of the idle PC resource of cheapness on each distributed resource node, and the master server management of major joint is unified in the management of distributed node and scheduling by the deployment of Hadoop framework.Cloud computing platform component-based mode development on the Eclipse of Java development environment is realized, with the store management of Hadoop framework realization distributed node, reaches alternately the standard of resource classification tissue and storage as each module with WebService and XML technology.The resource metadata management system mainly realizes the meta data category management of resource by XML parsing module and Classification Management module, the Classification Management module will be carried out the WebService encapsulation to the basic operation of meta data category, namely realize that by the call XML parsing module meta data category information is in the persistence of resource accumulation layer.Before carrying out the XML parsing, guarantee validity and the correctness to the resource classification management operation by realizing XML authentication module function in addition.The resource registering module is then first by registered user's typing resource information, call the meta data category of metadata management system, metamessage and the persistence that the XML analytical capabilities generates resource, memory interface with storage platform carries out alternately simultaneously, realizes the physical store of resource.The node storage management system mainly is comprised of node administration module and storage platform administration module,, thus realize that in conjunction with the figure Core Generator demonstration of node operational factor reaches the purpose of node state monitoring.The memory interface of storage platform is realized by WebService, at first judges whether to carry out the piecemeal storage according to resource size, and small documents (64MB is following) is then directly stored by the node of dispatching algorithm Selective storage.
As shown in Figure 3, described cloud computing platform 21 includes the computer cluster 211 that receives elevator data collection station 12 information by the internet, the elevator cloud platform node server 212 that is connected with the output of computer cluster 211 and be arranged on Applied layer interface 213 on the elevator cloud platform node server 212, be provided with elevator cloud node resource administration module 2121 in the described elevator cloud platform node server 212, the elevator cloud platform nodal information administration module 2122 and the metadata management module 2123 that link to each other with described elevator cloud node resource administration module 2121 respectively also are provided with the elevator cloud platform node resource administration module 2124 that links to each other with described metadata management module 2123.
Described elevator cloud node resource administration module 2121 includes elevator cloud platform resource management interface 2121a, elevator cloud platform configuration administrative unit 2121b and the elevator cloud platform storage monitoring unit 2121c that interconnects and be connected with the output of computer cluster 211 respectively.
Described elevator cloud platform nodal information administration module 2122 includes interconnective elevator cloud platform node state monitoring unit 2122a, elevator cloud platform nodal information monitoring unit 2122b and elevator cloud platform nodal information administrative unit 2122c, and described elevator cloud platform node state monitoring unit 2122a also connects elevator cloud node resource administration module 2121.
Described metadata management module 2123 includes metadata storage unit 2123a, XML resolution unit 2123b and the Classification Management unit 2123c that connects successively.
Described elevator cloud platform node resource administration module 2124 includes resource mark 2124a, resource retrieval 2124b and the resource registering 2124c that interconnects and be connected with metadata management module 2123 respectively.
In the application layer 3 in elevator health control and the intelligent maintenance software frame, system can gather elevator status data by the elevator data collecting card, be sent to elevator health control module after these status informations process signals processing and the feature extraction, this module is carried out life prediction by Life Prediction Model to elevator.In addition, this module can also be carried out alternately with the maintenance decision control module, and elevator device is carried out health evaluating and specifies maintenance schedule.System can provide the multiple supports such as data analysis, trouble diagnosing, health evaluating, life prediction and maintenance decision for the user, the user can obtain above-mentioned information for supporting some decision by Web, existing application interface.Elevator health control data bank is the core database of elevator health control and Intelligent maintenance system taking, is responsible for storage a large amount of state of elevator monitoring information, Maintenance Resource information and health account etc.
As shown in Figure 4, Applied layer interface 213 in the input end interconnection network layer 2 of the elevator mass data processing module 31 in the described application layer 3 on the elevator cloud platform node server 212, described elevator mass data processing module 31, elevator health evaluating module 32 is connected with the elevator intelligent maintenance module and is connected respectively elevator health control data bank 34 and decision support module 35, the mouth of described decision support module 35 connects user interface 36, in the described decision support module 35 data analysis unit 351 is arranged, failure diagnosis unit 352, health evaluating unit 353, life prediction unit 354 and maintenance decision unit 355.
As shown in Figure 5, described data analysis unit 351 is to carry out respectively carrying out after FMEA analysis, status information capture and status information are processed according to the information that elevator mass data processing module 31, elevator health evaluating module 32 and elevator intelligent maintenance module 33 are provided; Described failure diagnosis unit 352 be according to the information that elevator mass data processing module 31, elevator health evaluating module 32 and elevator intelligent maintenance module 33 are provided carry out respectively data mining, failure mode is distinguished with the case diagnostic process after carry out; Described health evaluating unit 353 is to carry out respectively carrying out after performance degradation trend analysis, state of health assessment and healthy classifying alarm are processed according to the information that elevator mass data processing module 31, elevator health evaluating module 32 and elevator intelligent maintenance module 33 are provided; Described life prediction unit 354 is to carry out after setting up respectively gray scale forecast model, proportional hazard model and Kalman filter model according to the information that elevator mass data processing module 31, elevator health evaluating module 32 and elevator intelligent maintenance module 33 are provided; Described maintenance decision unit 355 is to carry out respectively carrying out behind maintenance schedule formulation, Maintenance Resource distribution and the maintenance task dispatch deal according to the information that elevator mass data processing module 31, elevator health evaluating module 32 and elevator intelligent maintenance module 33 are provided.Therefore, described data analysis unit 351 has following 5 aspect radical functions:
(1) data analysis function.Elevator status data both can be Real-Time Monitoring information, also can be regularly to detect information.This function mainly is that Equipment Foundations data, status information, repair message, Maintenance Resource information and system user information etc. are gathered, store or process, and comprising: the information such as the reliability that obtains from the elevator manufacturer, maintainability, supportability; The equipment essential informations such as numbering of elevator, elevator title, model specification and use department; Carry out the Back ground Information of failure mode and effect analysis (FMEA); Real-Time Monitoring or the status information of equipment that regularly detects; The Maintenance Resource information such as maintainer, maintenance supply, docking facility and maintenance cost etc.Only have and realized the status information of equipment acquisition function, could provide the failure-free data for the facilities and equipments health control.
(2) fault diagnosis functions.The elevator health control is along with improving of fault diagnosis technology grows up.If elevator deteriorated can not be in time, exactly diagnosis, also just can't carry out the actv. State Maintenance.Elevator Fault Diagnosis adopts various analysis.The data analysis that gathers is processed, found trouble point or deteriorated point.
(3) health evaluating function.The elevator operation data that this functional utilization on-line monitoring system or off-line checking system obtain, can regularly or aperiodically make assessment to equipment state, analyze the performance degradation trend of elevator, when deteriorated sign appears in elevator, to relevant equipment user of service, maintainer or operating personal classifying alarm.The elevator management personnel can in time carry out maintenance decision according to equipment health evaluating and classifying alarm result.
(4) life prediction function.Elevator reparing department can be by various forecast models (for example, grey forecasting model, proportional hazard model, Kalman filter model, artificial neural net (ANN) etc.) remaining life of predict device or parts, before the serious stopping accident of equipment occurs, utilize the actv. forecast function can ensure time enough and work out and implement maintenance schedule.
(5) maintenance decision function.This function mainly comprises maintenance schedule formulation, maintenance and repair parts buying, maintenance task scheduling, Maintenance Resource distribution and maintenance policy optimization etc.In maintenance schedule, need to formulate concrete prevention and emergency maintenance plan, and excite the maintenance task scheduling feature.In addition, also need all kinds of Maintenance Resources of rational management, such as maintainer, standby redundancy, maintenance fund, service tools and maintenance time etc.Maintenance decision optimization need to be according to importance, reliability, maintainability, monitoring property, economy and the maintainability etc. of equipment to making a strategic decision maintenance mode and maintenance type, maintenance opportunity etc., for example, according to the state of equipment and condition of service determine its maintenance type (repair, in repair, light maintenance), maintenance range (overall, parts) and maintenance opportunity (when keeping in repair), and can be optimized maintenance program.
As shown in Figure 6, of the present invention for based on the elevator health control of Internet of Things and the elevator collecting method of maintenance system elevator data collection station, comprise the steps:
1) program initialization arranges the communication interface;
2) processing of receiving information;
3) executing data parsing algorithm;
Described data analysis algorithm comprises:
(1) input elevator faults characteristic information;
(2) carry out index according to the case classification structure;
(3) obtain the initial candidate casebook;
(4) adopt the Euclidean distance algorithm to carry out the distance coupling;
(5) case with coupling sorts by the degree of approximation;
(6) select case, mention the optimum matching case;
(7) carry out the case correction, finish.
4) draw fault pre-alarming or diagnostic message;
5) judged whether failure message, entered next step, continued otherwise return step 2;
6) send failure message to GPRS network;
7) judge whether to withdraw from, be, finish, continue otherwise return step 2.
The main completion system initial parameter of initialization module arranges, interrupts arranging; Communication interface arranges module according to the configuration protocol parameter of the communication pattern of setting, message processing module is processed according to set protocol encapsulation the failure message that receives, for trouble diagnosing and prediction provide the data basis, have fault evidence namely to call the GPRS module outwards to send when diagnosing out.Software adopts LINUX operating system, SQLite data bank and C language to carry out embedded programming.
The elevator intelligent maintenance is based upon on the basis of elevator faults risk analysis, and the elevator faults risk analysis at first defines the scope of risk analysis, such as the combination of whole system or single parts.Then use failure mode and consequences analysis technology that analytic target is analyzed, input risk analysis module after obtaining the cardinal principle origin cause of formation of fault, utilize the risk class table in the risk analysis module to carry out grade classification to working as prior fault, and find the corresponding measure of fault improvement according to the risk analysis table.As shown in Figure 7, of the present invention for based on the elevator health control of Internet of Things and the elevator health evaluating method of maintenance system elevator health evaluating module, comprise the steps:
1) definition risk analysis scope;
2) carry out failure modes and effects analysis;
3) carry out risk analysis;
4) carry out risk assessment and ordering;
5) judge whether safety performance can be accepted, and is, the putting maintenance into practice measure continues otherwise return step 2.
Utilize the related generation with failure severity of failure frequency risk class can be divided into according to the various combination of the fault order of severity and failure frequency 4 grades:
Grade 1: unacceptable (IA, IB, IC, IIA, IIB, IIIA).The elimination fault need to take immediate steps.
Grade 2: do not wish (ID, IIB, IIC, the IIIC) that occur.The fault of need to taking measures to alleviate.
Grade 3: can accept but (IE, IID, IIE, IIID, IVA, the IVB) of needs inspection.Whether need to check and determine needs to take measures.
Class 4: acceptable (IF, IIF, IIIE, IIIF, IVC ~ IVF).Do not need to take any measure.
Elevator health control and maintenance system and collection and appraisal procedure based on Internet of Things of the present invention utilize technology of Internet of things to set up elevator health control and intelligent maintenance system, have realized the unification of technological layer and application elevator safety standard.Sensing layer at Internet of Things arranges wireless senser and elevator data collection station, in real time remote service center is arrived in the elevator data acquisition, and at the assessment of the application layer design safety of Internet of Things and intelligent maintenance software, foundation is based on the elevator safety maintenance decision system of risk class, on the basis of elevator faults prediction, sequence severity and occurrence frequency by the comprehensive evaluation elevator faults draw maintenance program, become passive maintenance and be Predictive Maintenance, reduced the loss that fault causes, owing to avoided " maintenance lacks " and " maintenance is superfluous ", realized that maintenance cost reduces and the raising of efficient simultaneously.

Claims (10)

1. elevator health control and maintenance system based on an Internet of Things, it is characterized in that, there are sensing layer (1), network layer (2) and application layer (3) to communicate by network successively, wherein, described sensing layer (1) and network layer (2) are to communicate by VPN or M2M, and described sensing layer (1) includes a plurality of respectively correspondences and is arranged on the identical elevator data collection station (12) of structure on a plurality of electric life controllers (11); Described network layer (2) includes cloud computing platform (21), Internet of Things administrative center (22) and GPRS, 3G, 4G network management system (23); Described application layer (3) includes elevator mass data processing module (31), elevator health evaluating module (32) and the elevator intelligent maintenance module (33) that connects successively.
2. elevator health control and maintenance system based on Internet of Things according to claim 1, it is characterized in that, described elevator data collection station (12) includes a machine state sensor (121), car limit position sensor (122), lift car leveling position transduser (123), temperature sensor (124), power supply main circuit current sensor (125), cage operation noise transducer (126), cage operation speed sensor (127) and cage operation acceleration pick-up (128), wherein, described door machine state sensor (121), car limit position sensor (122) is connected 123 with the lift car leveling position transduser) connect CPU minimum system (1212) by photoisolator (129), described temperature sensor (124), power supply main circuit current sensor (125) is connected 126 with the cage operation noise transducer) connect CPU minimum system (1212) by A/D converter (1210), described cage operation noise transducer (126), cage operation speed sensor (127) is connected 128 with the cage operation acceleration pick-up) connect CPU minimum system (1212) by CAN bus interface (1211), described CPU minimum system (1212) connects electric life controller (11) by RS232 interface (1213), and communicates by GPRS module (1214) and network layer (2).
3. elevator health control and maintenance system based on Internet of Things according to claim 1, it is characterized in that, described cloud computing platform (21) includes the computer cluster (211) that receives elevator data collection station (12) information by the internet, the elevator cloud platform node server (212) that is connected with the output of computer cluster (211) and be arranged on Applied layer interface (213) on the elevator cloud platform node server (212), be provided with elevator cloud node resource administration module (2121) in the described elevator cloud platform node server (212), the elevator cloud platform nodal information administration module (2122) that links to each other with described elevator cloud node resource administration module (2121) respectively and metadata management module (2123) also are provided with the elevator cloud platform node resource administration module (2124) that links to each other with described metadata management module (2123).
4. elevator health control and maintenance system based on Internet of Things according to claim 3, it is characterized in that described elevator cloud node resource administration module (2121) includes elevator cloud platform resource management interface (2121a), elevator cloud platform configuration administrative unit (2121b) and the elevator cloud platform storage monitoring unit (2121c) that interconnects and be connected with the output of computer cluster (211) respectively.
5. elevator health control and maintenance system based on Internet of Things according to claim 3, it is characterized in that, described elevator cloud platform nodal information administration module (2122) includes interconnective elevator cloud platform node state monitoring unit (2122a), elevator cloud platform nodal information monitoring unit (2122b) and elevator cloud platform nodal information administrative unit (2122c), and described elevator cloud platform node state monitoring unit (2122a) also connects elevator cloud node resource administration module (2121).
6. elevator health control and maintenance system based on Internet of Things according to claim 3, it is characterized in that described metadata management module (2123) includes successively the metadata storage unit (2123a) that connects, XML resolution unit (2123b) and Classification Management unit (2123c).
7. elevator health control and maintenance system based on Internet of Things according to claim 3, it is characterized in that described elevator cloud platform node resource administration module (2124) includes resource mark (2124a), resource retrieval (2124b) and the resource registering (2124c) that interconnects and be connected with metadata management module (2123) respectively.
8. elevator health control and maintenance system based on Internet of Things according to claim 1, it is characterized in that, Applied layer interface (213) in the input end interconnection network layer (2) of the elevator mass data processing module (31) in the described application layer (3) on the elevator cloud platform node server (212), described elevator mass data processing module (31), elevator health evaluating module (32) is connected 33 with the elevator intelligent maintenance module) connect respectively elevator health control data bank (34) and decision support module (35), the mouth of described decision support module (35) connects user interface (36), and data analysis unit (351) is arranged in the described decision support module (35), failure diagnosis unit (352), health evaluating unit (353), life prediction unit (354) and maintenance decision unit (355).
9. one kind is used for claimed in claim 2ly it is characterized in that based on the elevator health control of Internet of Things and the elevator collecting method of maintenance system elevator data collection station, comprises the steps:
1) program initialization arranges the communication interface;
2) processing of receiving information;
3) executing data parsing algorithm;
4) draw fault pre-alarming or diagnostic message;
5) judged whether failure message, entered next step, continued otherwise return step 2;
6) send failure message to GPRS network;
7) judge whether to withdraw from, be, finish, continue otherwise return step 2.
10. one kind is used for claimed in claim 2ly it is characterized in that based on the elevator health control of Internet of Things and the elevator health evaluating method of maintenance system elevator health evaluating module, comprises the steps:
1) definition risk analysis scope;
2) set failure mode and carry out consequences analysis;
3) carry out risk analysis;
4) carry out risk assessment and ordering;
5) judge whether safety performance can be accepted, and is, the putting maintenance into practice measure continues otherwise return step 2.
CN2012102341675A 2012-07-06 2012-07-06 Elevator health management and maintenance system based on Internet of things and collection and assessment method Pending CN102923538A (en)

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Application publication date: 20130213