CN108483172A - A kind of Intelligent elevator car safety monitoring and evaluation system - Google Patents
A kind of Intelligent elevator car safety monitoring and evaluation system Download PDFInfo
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- CN108483172A CN108483172A CN201810168332.9A CN201810168332A CN108483172A CN 108483172 A CN108483172 A CN 108483172A CN 201810168332 A CN201810168332 A CN 201810168332A CN 108483172 A CN108483172 A CN 108483172A
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Classifications
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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
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
-
- 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
-
- 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
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
- B66B5/04—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions for detecting excessive speed
- B66B5/06—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions for detecting excessive speed electrical
Abstract
The Intelligent elevator car safety monitoring and evaluation system based on sensor and monitoring camera that the invention discloses a kind of, the system comprises：It is installed on the sensor and camera device, data transmission set, big data analysis part and interactive interface of the acquisition front end data on car.The present invention can determine whether the motion state of elevator and whether normal, can be carried out elevator safety performance assessment, can store data into background server and be accessed by interactive interface by intellectual monitoring, assessment algorithm.Classification analysis is carried out to data in Servers-all using data digging method and obtains useful information, elevator running state is analyzed in terms of timeliness and provincialism using big data analysis method.
Description
Technical field
The present invention relates to the monitoring running state technologies of extraordinary electromechanical equipment more particularly to a kind of Intelligent elevator car to pacify
Full monitoring and evaluation system.
Background technology
For current domestic elevator industry present situation, there are still problems in terms of elevator cab movement status monitoring.I
State is since elevator radix is huge, although elevator industry development level grows steadily, closely related elevator reparing and guarantor therewith
Foster level is but difficult to keep up with the paces of industry advance, this is the high important original of China's elevator safety accident occurrence frequency
Cause.
Problem existing in terms of elevator maintenance at present embodies a concentrated reflection of technology in elevator motion safety testing field, product
In three aspects of mechanism.First, country lacks the monitoring technology means and equipment of efficiently and accurately in the monitoring link of elevator,
Inspection body not yet establishes and improves remote control network；Elevator manufacturer provide monitoring means it is single, Embedded Monitoring System at
This height and versatility is poor, monitoring data authority shortcoming；The monitoring service that maintenance company is provided lacks real-time, detection effect
The problems such as rate is relatively low.These are all current elevator safety monitoring field urgent problems to be solved.A collection accuracy of market needs,
The needs of product that real-time and versatility are integrated is come in terms of meeting elevator monitoring in real time.
Invention content
The technical problem to be solved in the present invention is for the defects in the prior art, to provide a kind of Intelligent elevator car
Safety monitoring and assessment system.
The technical solution adopted by the present invention to solve the technical problems is：It a kind of monitoring of Intelligent elevator car safety and comments
Estimate system, including：
Car operating state signal collecting unit, for acquiring car operating state signal, the car operating status letter
Number include perceiving the three-dimensional acceleration of lift car by six axis movement sensors and three-dimensional angular velocity and passing through baroceptor
Sense the car relatively a certain setting plane of reference or atmospheric pressure value of reference point in hoistway；The three-dimensional acceleration refers to the horizontal plane side X
To acceleration, horizontal plane Y-direction acceleration and Z-direction acceleration vertically upward；Three-dimensional angular velocity refers to be rotated around horizontal plane X-direction
Angular speed, around horizontal plane Y-direction rotation angular speed and around Z-direction vertically upward rotation angular speed；
Real-time video monitoring unit, for acquiring the real time environment image in lift car；
Data processing unit obtains car real-time running state parameter for handling lift car operating state signal, obtains
It obtains lift car real time kinematics state and security evaluation is carried out according to lift car real time kinematics state；
The car real-time running state parameter includes：The real time acceleration of car, real-time angular speed, real-time speed, certain
Oscillation Amplitude, the sedan-chair of displacement distance, the real time position relative to a certain fixed reference system, car in z-direction in a period of time
The amplitude of fluctuation of compartment in the x and/or y direction；
The real-time running state includes：Whether whether overspeed, elevator accurately put down for elevator real time execution direction, elevator
Layer, real-time flat bed number of floor levels, can not flat bed when distance apart from a certain normal flat bed floor position, whether elevator vertically upward
Z-direction there is abnormal shake, whether in horizontal plane X and/or Y-direction, there are abnormality vibrations for elevator；
The security evaluation includes：The analysis method being combined using time-domain and frequency-domain, first to three-dimensional acceleration and angle speed
Degree carries out time domain threshold decision；Then data are converted to corresponding frequency domain data using wavelet transformation, frequency domain data is carried out
Threshold Analysis is simultaneously combined with motion state, can finally obtain elevator motion level of security assessment result in real time；
It is additionally operable to, by ambient image in Computer Vision algorithm process car, obtain lift car internal state；Institute
It includes patronage and passenger behavior to state lift car internal state；
Background server big data analysis unit, the elevator cab movement state for receiving and storing data processing unit
Data, cab interior status data and elevator safety assessment result, and using data digging method to all clothes of different zones
The data of business device carry out classification analysis；
Communication unit, including area communication units and telecommunication unit two parts；The area communication units are used for will
The data transmission of car operating state signal collecting unit to control computer room in industrial computer；The telecommunication unit is used
It is communicated with the bidirectional data transfers between remote supervisory database in carrying out elevator controlling computer room by internet.
By said program, the car operating state signal collecting unit includes six axis movement sensors and air pressure sensing
Device, the car operating state signal collecting unit are fixed on car top.
By said program, the data processing unit processing lift car operating state signal obtains car real time execution shape
The process of state parameter is as follows：
Acceleration and angular speed signal that car movement state information collecting unit is sensed and exported carry out signal condition,
Acquisition, digitlization, interpolation fitting obtain lift car real time acceleration and angular speed；According to sensing car with respect to certain in hoistway
The atmospheric pressure value of one plane of reference or reference point through signal condition, acquires, calculates the relatively a certain plane of reference of lift car or reference point
Height, through coordinate transform obtain car in hoistway relative to the real time position of fixed reference system, then according to above-mentioned parameter
It calculates and obtains car real-time running state parameter.
By said program, the background server big data analysis unit combines a variety of data digging methods to different zones
Servers-all in data classified, analyzed, to obtain useful information；
The data digging method includes：Genetic algorithm, k-means algorithms, Apriori algorithm, Knn sorting algorithms；Institute
It is a kind of computation model of reference living nature natural selection and natural genetic mechanism to state genetic algorithm, is that one kind passing through simulation nature
Evolutionary process search for optimal solution method, for found in mass data a certain elevator motion feature optimal approximation function,
Find the optimal estimation probability of elevator faults；K-means algorithms are a kind of clustering algorithms；Apriori algorithm, which is one kind, most shadow
The algorithm of loud Mining Boolean Association Rules frequent item set；Knn sorting algorithms are one of simplest machine learning methods.
The beneficial effect comprise that：
1, independence：Independently of lift car built-in system, installed as external hanging device.
2, versatility：Suitable for different types of lift car.
3, real-time：Real-time judge elevator operation simultaneously alarms to abnormal behaviour.Units concerned are made to grasp in time
State of elevator occurs to arrange repair at the first time in failure.
4, meets market to Elevator Monitoring with big data processing method is combined the needs of.
5, the trend of market infrastructure Internet of Things networking is complied with.Different data processing is carried out to a variety of acquisition input signals,
More comprehensively monitor elevator situation.
Description of the drawings
Present invention will be further explained below with reference to the attached drawings and examples, in attached drawing：
Fig. 1 is the Intelligent elevator car safety monitoring and evaluation system structure diagram of the embodiment of the present invention；
Fig. 2 is the Intelligent elevator car safety monitoring and evaluation working-flow figure of the embodiment of the present invention.
Specific implementation mode
In order to make the purpose , technical scheme and advantage of the present invention be clearer, with reference to embodiments, to the present invention
It is further elaborated.It should be appreciated that described herein, specific examples are only used to explain the present invention, is not used to limit
The fixed present invention.
As shown in Figure 1, data acquisition device 8 (front end machine) has used embedded system, it is integrated with motion sensor, gas
Pressure sensor, and data are exchanged by wired connection with picture pick-up device 9, embedded system is placed in the top acquisition elevator of car 10
Exercise data, including the 3-axis acceleration of lift car 10 and angular speed and 10 local environment of car it is absolute relative barometric pressure
Value, picture pick-up device 9 are placed in cab interior apical acquisition video image information, can monitor internal environment in real time.
Such as Fig. 2, data acquisition device 8 (front end machine) is by wireless transmission method by the exercise data and video data of acquisition
The industrial computer 5 being wirelessly transferred in real time in the top motor control room of elevator 7, industrial computer 5 also may be used
To give the required instruction of front end machine 8 to control front end machine.Industrial computer 5 and background server 2 periodically will by internet
The data obtained in a period of time are uploaded to background server.
Industrial computer 5 in the top motor control room of elevator 7 be responsible for the controlled car of analysis transmit it is real-time
Data, judge whether the operating status of elevator, including elevator traffic direction (uplink, downlink or stopping), elevator surpass by algorithm
Number of floor levels or the distance etc. apart from the normal level position of a certain floor where speed operation or abnormal shake, car, if it find that different
Reason condition can record and alarm；Elevator passenger number and its behavior are can determine whether by video information, and passenger is generated
Dangerous movement carries out warning reminding.
Background server is responsible for the data for the different elevator devices that analytical industry computer 5 transmits, and mainly uses big data
Analyze the elevator situation etc. of given area or special time period.All data are stored in background server, user, maintenance people
Member or residential property can access background server in interactive platform by specified permission and obtain the operation data and feelings of elevator
Condition.
It should be understood that for those of ordinary skills, it can be modified or changed according to the above description,
And all these modifications and variations should all belong to the protection domain of appended claims of the present invention.
Claims (4)
1. a kind of Intelligent elevator car safety monitoring and evaluation system, including：
Car operating state signal collecting unit, for acquiring car operating state signal, the car operating state signal packet
It includes through the three-dimensional acceleration and three-dimensional angular velocity of six axis movement sensors perception lift car and is sensed by baroceptor
The car relatively a certain setting plane of reference or atmospheric pressure value of reference point in hoistway；The three-dimensional acceleration refers to horizontal plane X-direction and adds
Speed, horizontal plane Y-direction acceleration and Z-direction acceleration vertically upward；Three-dimensional angular velocity refers to around the angle that horizontal plane X-direction rotates
Speed, the angular speed around the rotation of horizontal plane Y-direction and the angular speed around the rotation of Z-direction vertically upward；
Real-time video monitoring unit, for acquiring the real time environment image in lift car；
Data processing unit obtains car real-time running state parameter for handling lift car operating state signal, obtains electricity
Terraced car real time kinematics state simultaneously carries out security evaluation according to lift car real time kinematics state；
The car real-time running state parameter includes：The real time acceleration of car, real-time angular speed, real-time speed, a certain section
Displacement distance, the real time position relative to a certain fixed reference system, car Oscillation Amplitude in z-direction, car are in X in time
And/or the amplitude of fluctuation in Y-direction；
The real-time running state includes：Elevator real time execution direction, elevator whether overspeed, the whether accurate flat bed of elevator,
Real-time flat bed number of floor levels, can not flat bed when distance apart from a certain normal flat bed floor position, whether elevator in Z vertically upward
There is abnormal shake in direction, whether in horizontal plane X and/or Y-direction, there are abnormality vibrations for elevator；
The security evaluation includes the following steps：The analysis method being combined using time-domain and frequency-domain, first to three-dimensional acceleration and
Angular speed carries out time domain threshold decision；Then data are converted to corresponding frequency domain data using wavelet transformation, to frequency domain data
It carries out Threshold Analysis and is combined with motion state, can finally obtain elevator motion level of security assessment result in real time；
It is additionally operable to, by ambient image in Computer Vision algorithm process car, obtain lift car internal state；The electricity
Terraced cab interior state includes patronage and passenger behavior；
Background server big data analysis unit, the elevator cab movement status number for receiving and storing data processing unit
According to, cab interior status data and elevator safety assessment result, and all services using data digging method to different zones
The data of device carry out classification analysis；
Communication unit, including area communication units and telecommunication unit two parts；The area communication units are used for car
The data transmission of operating state signal collecting unit to control computer room in industrial computer；The telecommunication unit is for leading to
Internet progress elevator controlling computer room is crossed to communicate with the bidirectional data transfers between remote supervisory database.
2. Intelligent elevator car safety monitoring and evaluation system according to claim 1, which is characterized in that the car
Operating state signal collecting unit includes six axis movement sensors and baroceptor, and the car operating state signal acquisition is single
Member is fixed on car top.
3. Intelligent elevator car safety monitoring and evaluation system according to claim 1, which is characterized in that the data
The process that processing unit processes lift car operating state signal obtains car real-time running state parameter is as follows：
The acceleration and angular speed signal that car movement state information collecting unit is sensed and exported carries out signal condition, adopts
Collection, digitlization, interpolation fitting obtain lift car real time acceleration and angular speed；It is relatively a certain in hoistway according to sensing car
The atmospheric pressure value of the plane of reference or reference point through signal condition, acquires, calculates the relatively a certain plane of reference of lift car or reference point
Highly, car is obtained in hoistway relative to the real time position of fixed reference system, then according to above-mentioned parameter meter through coordinate transform
It calculates and obtains car real-time running state parameter.
4. Intelligent elevator car safety monitoring and evaluation system according to claim 1, which is characterized in that the backstage
Server big data analysis unit divides the data in the Servers-all of different zones in conjunction with a variety of data digging methods
Class, analysis, to obtain useful information；
The data digging method includes：Genetic algorithm, k-means algorithms, Apriori algorithm, Knn sorting algorithms；The something lost
Propagation algorithm is a kind of computation model of reference living nature natural selection and natural genetic mechanism, is that one kind passing through simulation natural evolution
The method of process searches optimal solution, for finding the optimal approximation function of a certain elevator motion feature in mass data, finding
The optimal estimation probability of elevator faults；K-means algorithms are a kind of clustering algorithms；Apriori algorithm is a kind of most influential
The algorithm of Mining Boolean Association Rules frequent item set；Knn sorting algorithms are one of simplest machine learning methods.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810168332.9A CN108483172A (en) | 2018-02-28 | 2018-02-28 | A kind of Intelligent elevator car safety monitoring and evaluation system |
| CN201910152972.5A CN109704167A (en) | 2018-02-28 | 2019-02-28 | A kind of elevator car safety monitoring and evaluation device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201810168332.9A CN108483172A (en) | 2018-02-28 | 2018-02-28 | A kind of Intelligent elevator car safety monitoring and evaluation system |
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| CN108483172A true CN108483172A (en) | 2018-09-04 |
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| CN201810168332.9A Pending CN108483172A (en) | 2018-02-28 | 2018-02-28 | A kind of Intelligent elevator car safety monitoring and evaluation system |
| CN201910152972.5A Pending CN109704167A (en) | 2018-02-28 | 2019-02-28 | A kind of elevator car safety monitoring and evaluation device |
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110127484A (en) * | 2019-06-14 | 2019-08-16 | 嘉兴技师学院 | A kind of elevator bridge case running position monitoring early-warning system and method |
| CN110589645A (en) * | 2019-09-23 | 2019-12-20 | 上海核歌智能科技有限公司 | Intelligent sensing detection system for elevator taking behavior |
| CN110619486A (en) * | 2019-10-12 | 2019-12-27 | 安徽电梯大叔科技有限公司 | Elevator safety quality evaluation system and method of elevator data model |
| CN111086938A (en) * | 2018-10-24 | 2020-05-01 | 奥的斯电梯公司 | Health monitoring of elevator and escalator systems |
| CN111170108A (en) * | 2020-02-13 | 2020-05-19 | 浙江新再灵科技股份有限公司 | Method for detecting out-of-door elevator stopping based on multi-source sensor fault label sample data gate |
| CN111551358A (en) * | 2020-05-28 | 2020-08-18 | 永康龙飘传感科技有限公司 | Door capable of acquiring various parameters and detection door forced closing system |
| CN111675062A (en) * | 2020-07-07 | 2020-09-18 | 广东卓梅尼技术股份有限公司 | Elevator car fault determination method and system based on multi-axis sensor technology |
| CN112850387A (en) * | 2020-12-31 | 2021-05-28 | 北京航天特种设备检测研究发展有限公司 | Elevator state acquisition and diagnosis system and method |
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| CN113479735A (en) * | 2021-05-26 | 2021-10-08 | 安徽掘亿科技有限公司 | Elevator operation and maintenance supervisory systems based on cloud platform |
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| CN102633173B (en) * | 2012-05-04 | 2014-10-15 | 林创鲁 | System and method for monitoring operation state of elevator car |
| CN104071664A (en) * | 2014-07-03 | 2014-10-01 | 南京喜高电子科技有限公司 | Monitoring system and monitoring method for elevator running state |
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| CN106219342B (en) * | 2016-08-19 | 2019-02-01 | 广州广日电梯工业有限公司 | Elevator self diagnosis and pre- diagnostic system and method based on time-frequency convert algorithm |
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- 2019-02-28 CN CN201910152972.5A patent/CN109704167A/en active Pending
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111086938A (en) * | 2018-10-24 | 2020-05-01 | 奥的斯电梯公司 | Health monitoring of elevator and escalator systems |
| US11312594B2 (en) | 2018-11-09 | 2022-04-26 | Otis Elevator Company | Conveyance system video analytics |
| CN113242835A (en) * | 2018-12-24 | 2021-08-10 | 因温特奥股份公司 | Personnel transport equipment |
| CN110127484A (en) * | 2019-06-14 | 2019-08-16 | 嘉兴技师学院 | A kind of elevator bridge case running position monitoring early-warning system and method |
| CN110127484B (en) * | 2019-06-14 | 2023-11-14 | 嘉兴技师学院 | Elevator bridge box operation position monitoring and early warning system and method |
| CN110589645A (en) * | 2019-09-23 | 2019-12-20 | 上海核歌智能科技有限公司 | Intelligent sensing detection system for elevator taking behavior |
| CN110619486A (en) * | 2019-10-12 | 2019-12-27 | 安徽电梯大叔科技有限公司 | Elevator safety quality evaluation system and method of elevator data model |
| CN111170108A (en) * | 2020-02-13 | 2020-05-19 | 浙江新再灵科技股份有限公司 | Method for detecting out-of-door elevator stopping based on multi-source sensor fault label sample data gate |
| CN111170108B (en) * | 2020-02-13 | 2021-11-23 | 浙江新再灵科技股份有限公司 | Method for detecting out-of-door elevator stopping based on multi-source sensor fault label sample data gate |
| CN111551358A (en) * | 2020-05-28 | 2020-08-18 | 永康龙飘传感科技有限公司 | Door capable of acquiring various parameters and detection door forced closing system |
| CN111675062A (en) * | 2020-07-07 | 2020-09-18 | 广东卓梅尼技术股份有限公司 | Elevator car fault determination method and system based on multi-axis sensor technology |
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| CN112850387B (en) * | 2020-12-31 | 2023-02-03 | 北京航天特种设备检测研究发展有限公司 | Elevator state acquisition and diagnosis system and method |
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Application publication date: 20180904 |