CN110171757A - Elevator maintenance system based on the support of Internet of Things big data - Google Patents
Elevator maintenance system based on the support of Internet of Things big data Download PDFInfo
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- CN110171757A CN110171757A CN201910489113.5A CN201910489113A CN110171757A CN 110171757 A CN110171757 A CN 110171757A CN 201910489113 A CN201910489113 A CN 201910489113A CN 110171757 A CN110171757 A CN 110171757A
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Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3423—Control system configuration, i.e. lay-out
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B1/00—Control systems of elevators in general
- B66B1/34—Details, e.g. call counting devices, data transmission from car to control system, devices giving information to the control system
- B66B1/3415—Control system configuration and the data transmission or communication within the control system
- B66B1/3446—Data transmission or communication within the control system
- B66B1/3461—Data transmission or communication within the control system between the elevator control system and remote or mobile stations
-
- 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
- B66B5/0012—Devices monitoring the users of the elevator system
-
- 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
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0037—Performance analysers
-
- 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
- B66B5/0087—Devices facilitating maintenance, repair or inspection tasks
-
- 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
Landscapes
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Computer Networks & Wireless Communication (AREA)
- Indicating And Signalling Devices For Elevators (AREA)
Abstract
The invention discloses a kind of Elevator maintenance systems based on the support of Internet of Things big data, including parameters of elevator run acquisition module, behavior video data acquiring module, voice alarm module, intelligent terminal and the monitor terminal being connected by internet with server, the intelligent terminal uses cell phone application, inside sets registration module, locating module, alarm module, remote help module and maintenance record uploading module；Data processing module, lift running safety evaluation module, elevator operating condition forecast module, dangerous play determination module, alert level evaluation module are equipped in the monitor terminal.The present invention realizes the comprehensive monitoring of elevator operating condition, the safety that can be significantly improved elevator operation and use, and the scheduling of maintenance staff is carried out based on monitoring result, alleviates the workload of maintenance staff to a certain extent.
Description
Technical field
The present invention relates to ammoniacal nitrogen detection fields, and in particular to a kind of elevator maintenance system based on the support of Internet of Things big data
System.
Background technique
Elevator safety accident happens occasionally, and the accident for causing casualties is commonplace, causes public opinion concern.Investigation
It has been shown that, in many factors for leading to elevator safety hidden danger, elevator problem of manufacturing qualities accounts for 16%, and installation question accounts for 24%, and protects
It supports and is up to 60% using problem.
Currently, the monitoring to elevator, is realized in such a way that maintenance staff are periodically detected mostly, however, due to
Elevator installation number is being increased every year with 20% or more speed, and is limited by operation cost, elevator maintenance company and dimension
The quantity increasing degree of guarantor person is very small, causes the elevator quantity of averagely each maintenance staff's maintenance to increase year by year, produces
Serious man-machine contradiction；There is very big relationship in the working experience of the result and maintenance staff that artificially detect simultaneously, to a certain degree
On the drawback larger there is error, bring certain elevator safety hidden danger.
There has been no to the system for using elevator behavior effectively to be monitored simultaneously.
Summary of the invention
To solve the above problems, the present invention provides a kind of Elevator maintenance systems based on the support of Internet of Things big data.
To achieve the above object, the technical scheme adopted by the invention is as follows:
Based on the Elevator maintenance system of Internet of Things big data support, including the elevator operation ginseng being connected by internet with server
Number acquisition module, behavior video data acquiring module, voice alarm module, intelligent terminal and monitor terminal, the intelligent terminal
Using cell phone application, inside set:
Registration module is registered for realizing the real name of elevator maintenance staff；
Locating module, for realizing the acquisition of elevator maintenance staff's real time positioning data；
Alarm module, the warning information issued for Play Server；
Remote help module is communicated for being realized by video/voice communication mode with corresponding expert；
Maintenance record uploading module, the registration for carrying out elevator maintenance record upload；
It is equipped in the monitor terminal:
Data processing module, for receiving number transmitted by parameters of elevator run acquisition module, behavior video data acquiring module
According to, and lift running safety evaluation module, elevator fortune are sent to after these data are marked with its corresponding elevator information
Market condition forecast module, dangerous play determination module；
Lift running safety evaluation module is transported at present for being based on parameters of elevator run data completion elevator by preset algorithm
The assessment of market condition, and send display screen for assessment result and show；
Elevator operating condition forecast module establishes short-term forecast unit using statistical regression and data-driven method, is based on elevator
Operational parameter data generates short-term elevator operating condition forecast information；
Dangerous play determination module, for carrying out human depth by kinect depth transducer data Behavior-based control video data
The acquisition of information and bone information, eliminates the shake and noise jamming of gained bone information, and obtains the angle of all bones pair
Moving in rotation SO3 matrix information is spent, the angle moving in rotation SO3 matrix information and dangerous play appearance of resulting bone pair will be calculated
The dangerous play standard posture information recorded in state database compares, if gap is less than some thresholding, then it is assumed that be, it is no
Then not think be；
Alert level evaluation module, the starting when the assessment result of lift running safety evaluation module falls into dangerous thresholding, is based on
Preset assessment models realize the assessment of current lift running safety assessment result danger classes, and send clothes for assessment result
Business device, is shown through display screen；Server realizes distributing for warning information according to danger classes；
The voice alarm module is mounted on each inlet of each elevator, for according to dangerous play determination module
Determine that result plays corresponding audio alert audio.
Further, it is additionally provided in the intelligent terminal:
Reminding module is believed in standing, for reminding maintenance staff to check in station in time in the form of popping up dialog box and voice broadcast
Letter.
Further, the parameters of elevator run acquisition module is used for the acquisition of car movement data, and operation data includes
Whether elevator identification information elevator operating floor information, directional information, velocity information, acceleration information, door state information, has
The status information of passenger, whether leveling status information, whether have electricity status information.
Further, the behavioral data acquisition module passes through the camera being arranged in lift port and elevator and is gone
For the acquisition of video data.
Further, in the monitor terminal further include:
Parameters of elevator run acquisition module, behavior video data acquiring module, voice alarm module operating condition AM access module, for dividing
It Jie Ru not parameters of elevator run acquisition module floor data, behavior video data acquiring module floor data and audio alert mould
Block floor data；
Operating condition evaluation module is based on preset BP neural network model realization parameters of elevator run acquisition module, behavior video counts
According to acquisition module, the assessment of voice alarm module operating condition；
The automatic editor's sending module of letter in standing, when assessment result exception, the automatic editor believed in station is realized in module starting, and
Corresponding account is sent by letter in the station after the completion of editor.
Further, the assessment result of alert level evaluation module is divided into highest dangerous, moderate risk and general danger,
When assessment result is highest dangerous, server realizes distributing for warning information with nearby principle, and by collected maintenance
Personnel's real time positioning data feeds back to monitor terminal；When assessment result is moderate risk, server inquires portion's elevator first
Corresponding working today, and the maintenance staff of idle periods are in, distributing for warning information is then realized with nearby principle, works as assessment
When being as a result general dangerous, then distributing for warning information is realized with existing worksheet processing sequence.
Further, it is equipped with a warning information in the server and distributes module, for realizing distributing for warning information, institute
Warning information is stated including at least current elevator model, position, fault type and the time broken down.
Further, one is equipped in the server to register data input module, the punch card system for passing through connecting company is real
The typing of situation whether now current maintenance staff go to work；
Further, a database module is equipped in the server, for realizing the portion by folder name of every elevator
The storage of elevator essential information, operational parameter data, fault data, mantenance data and maintenance record data.
The invention has the following advantages:
1) comprehensive monitoring of elevator operating condition is realized, the safety that elevator operation can be significantly improved and used, and be based on
Monitoring result carries out the scheduling of maintenance staff, alleviates the workload of maintenance staff to a certain extent.
2) the automatic collection analysis that elevator operating condition is carried out based on electronic system, avoids the mistake of artificial collection analysis
Difference further improves the safety of elevator operation.
3) monitoring of elevator usage behavior is realized, use can be reminded in a manner of audio alert when finding dangerous play
Family further improves the safety that elevator uses.
4) the unified management record of the data such as each elevator basic condition, maintenance situation is realized using server, just
It is checked in the calling of later data.
Detailed description of the invention
Fig. 1 is a kind of system block diagram of the Elevator maintenance system based on the support of Internet of Things big data of the embodiment of the present invention.
Specific embodiment
The present invention is described in detail combined with specific embodiments below.Following embodiment will be helpful to the technology of this field
Personnel further understand the present invention, but the invention is not limited in any way.It should be pointed out that the ordinary skill of this field
For personnel, without departing from the inventive concept of the premise, various modifications and improvements can be made.These belong to the present invention
Protection scope.
As shown in Figure 1, the embodiment of the invention provides a kind of Elevator maintenance system based on the support of Internet of Things big data, packet
Include the parameters of elevator run acquisition module being connected with server by internet, behavior video data acquiring module, audio alert
Module, intelligent terminal and monitor terminal, it is characterised in that: the intelligent terminal uses cell phone application, inside sets:
Registration module is registered for realizing the real name of elevator maintenance staff；
Locating module, for realizing the acquisition of elevator maintenance staff's real time positioning data；
Alarm module, the warning information issued for Play Server；
Remote help module is communicated for being realized by video/voice communication mode with corresponding expert；
Maintenance record uploading module, the registration for carrying out elevator maintenance record upload；
Reminding module is believed in standing, for pop up dialog box and voice broadcast (you have letter new station in, it is noted that check and accept)
Form reminds maintenance staff to check letter in station in time；
It is equipped in the monitor terminal:
Data processing module, for receiving number transmitted by parameters of elevator run acquisition module, behavior video data acquiring module
According to, and lift running safety evaluation module, elevator fortune are sent to after these data are marked with its corresponding elevator information
Market condition forecast module, dangerous play determination module；
Lift running safety evaluation module is transported at present for being based on parameters of elevator run data completion elevator by preset algorithm
The assessment of market condition, and send display screen for assessment result and show；
Elevator operating condition forecast module establishes short-term forecast unit using statistical regression and data-driven method, is based on elevator
Operational parameter data generates short-term elevator operating condition forecast information；
Dangerous play determination module, for carrying out human depth by kinect depth transducer data Behavior-based control video data
The acquisition of information and bone information, eliminates the shake and noise jamming of gained bone information, and obtains the angle of all bones pair
Moving in rotation SO3 matrix information is spent, the angle moving in rotation SO3 matrix information and dangerous play appearance of resulting bone pair will be calculated
The dangerous play standard posture information recorded in state database compares, if gap is less than some thresholding, then it is assumed that be, it is no
Then not think be；
Alert level evaluation module, the starting when the assessment result of lift running safety evaluation module falls into dangerous thresholding, is based on
Preset assessment models realize the assessment of current lift running safety assessment result danger classes, and send clothes for assessment result
Business device, is shown through display screen；Server realizes distributing for warning information according to danger classes；
Three operating condition AM access modules, for being respectively connected to parameters of elevator run acquisition module floor data, behavior video data is adopted
Collect module floor data and voice alarm module floor data；
Operating condition evaluation module is based on preset BP neural network model realization parameters of elevator run acquisition module, behavior video counts
According to acquisition module, the assessment of voice alarm module operating condition, in the present embodiment, each parameters of elevator run acquisition module, behavior
Video data acquiring module, voice alarm module are all made of unique identification number, and the floor data accessed carries
The number；The result of operating condition assessment includes at least elevator information, the title of module, number and working condition (normal/abnormal)；
The automatic editor's sending module of letter in standing, when assessment result exception, the automatic editor believed in station is realized in module starting, and
Corresponding account is sent by letter in the station after the completion of editor；After module starting, realizes correspond in operating condition assessment result first
The excavation of module title, number data, then by the data excavated to believe template in the Pattern Fill to preset station filled a vacancy
In, after the completion of filling, then corresponding elevator information is excavated in operating condition assessment result, based on elevator information and existing management
Letter in the station is sent corresponding account by ownership.
The voice alarm module is mounted on each inlet of each elevator, for determining mould according to dangerous play
The judgement result of block plays corresponding audio alert audio.
In the present embodiment, it is equipped in the server:
Warning information distributes module, for realizing distributing for warning information, the warning information include at least current elevator model,
Position, fault type and the time broken down, the assessment result of alert level evaluation module be divided into it is highest dangerous,
Moderate risk and general danger, when assessment result is highest dangerous, server realizes the group of warning information with nearby principle
Hair, and collected maintenance staff's real time positioning data is fed back into monitor terminal；When assessment result is moderate risk, service
Device inquires corresponding working today of portion's elevator first, and is in the maintenance staff of idle periods, is then realized and is warned with nearby principle
The distributing of breath of notifying then realizes distributing for warning information when assessment result is general dangerous with existing worksheet processing sequence.
It registers data input module, situation whether realizing current maintenance staff working by the punch card system of connecting company
Typing；
Database module, for realizing portion's elevator essential information, operational parameter data, event by folder name of every elevator
Hinder the storage of data, mantenance data and maintenance record data.
In the present embodiment, the parameters of elevator run acquisition module is used for the acquisition of car movement data, operation data packet
Include elevator identification information, elevator operating floor information, directional information, velocity information, acceleration information, door state information, whether
Have passenger status information, whether leveling status information, whether have electricity status information.
In the present embodiment, the behavioral data acquisition module, which passes through the camera being arranged in lift port and elevator, to be carried out
The acquisition of behavior video data.
Specific embodiments of the present invention are described above.It is to be appreciated that the invention is not limited to above-mentioned
Particular implementation, those skilled in the art can make a variety of changes or modify within the scope of the claims, this not shadow
Ring substantive content of the invention.In the absence of conflict, the feature in embodiments herein and embodiment can any phase
Mutually combination.
Claims (9)
1. based on the Elevator maintenance system of Internet of Things big data support, including the elevator operation being connected by internet with server
Parameter collection module, behavior video data acquiring module, voice alarm module, intelligent terminal and monitor terminal, it is characterised in that:
The intelligent terminal uses cell phone application, inside sets:
Registration module is registered for realizing the real name of elevator maintenance staff；
Locating module, for realizing the acquisition of elevator maintenance staff's real time positioning data；
Alarm module, the warning information issued for Play Server；
Remote help module is communicated for being realized by video/voice communication mode with corresponding expert；
Maintenance record uploading module, the registration for carrying out elevator maintenance record upload；
It is equipped in the monitor terminal:
Data processing module, for receiving number transmitted by parameters of elevator run acquisition module, behavior video data acquiring module
According to, and lift running safety evaluation module, elevator fortune are sent to after these data are marked with its corresponding elevator information
Market condition forecast module, dangerous play determination module；
Lift running safety evaluation module is transported at present for being based on parameters of elevator run data completion elevator by preset algorithm
The assessment of market condition, and send display screen for assessment result and show；
Elevator operating condition forecast module establishes short-term forecast unit using statistical regression and data-driven method, is based on elevator
Operational parameter data generates short-term elevator operating condition forecast information；
Dangerous play determination module, for carrying out human depth by kinect depth transducer data Behavior-based control video data
The acquisition of information and bone information, eliminates the shake and noise jamming of gained bone information, and obtains the angle of all bones pair
Moving in rotation SO3 matrix information is spent, the angle moving in rotation SO3 matrix information and dangerous play appearance of resulting bone pair will be calculated
The dangerous play standard posture information recorded in state database compares, if gap is less than some thresholding, then it is assumed that be, it is no
Then not think be；
Alert level evaluation module, the starting when the assessment result of lift running safety evaluation module falls into dangerous thresholding, is based on
Preset assessment models realize the assessment of current lift running safety assessment result danger classes, and send clothes for assessment result
Business device, is shown through display screen；Server realizes distributing for warning information according to danger classes；
The voice alarm module is mounted on each inlet of each elevator, for according to dangerous play determination module
Determine that result plays corresponding audio alert audio.
2. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: the intelligence
It is additionally provided in terminal:
Reminding module is believed in standing, for reminding maintenance staff to check in station in time in the form of popping up dialog box and voice broadcast
Letter.
3. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: the elevator
Operating parameter acquisition module is used for the acquisition of car movement data, and operation data includes elevator identification information, elevator operating floor
Information, directional information, velocity information, acceleration information, door state information, the status information that whether has passenger, whether leveling
Status information, the status information for whether having electricity.
4. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: the behavior
Data acquisition module passes through the acquisition that the camera being arranged in lift port and elevator carries out behavior video data.
5. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: the monitoring
In terminal further include:
Parameters of elevator run acquisition module, behavior video data acquiring module, voice alarm module operating condition AM access module, for dividing
It Jie Ru not parameters of elevator run acquisition module floor data, behavior video data acquiring module floor data and audio alert mould
Block floor data；
Operating condition evaluation module is based on preset BP neural network model realization parameters of elevator run acquisition module, behavior video counts
According to acquisition module, the assessment of voice alarm module operating condition；
The automatic editor's sending module of letter in standing, when assessment result exception, the automatic editor believed in station is realized in module starting, and
Corresponding account is sent by letter in the station after the completion of editor.
6. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: alert level
The assessment result of evaluation module is divided into highest dangerous, moderate risk and general danger, when assessment result is highest dangerous,
Server realizes distributing for warning information with nearby principle, and collected maintenance staff's real time positioning data is fed back to monitoring
Terminal；When assessment result is moderate risk, server inquires corresponding working today of portion's elevator first, and is in idle periods
Maintenance staff, then realize that warning information distributing with nearby principle, when assessment result is general dangerous, then with existing
Worksheet processing sequence realizes distributing for warning information.
7. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: the service
It is equipped with a warning information in device and distributes module, for realizing distributing for warning information, the warning information includes at least current electricity
Ladder type number, position, fault type and the time broken down.
8. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: the service
It is equipped with one in device to register data input module, situation whether realizing current maintenance staff working by the punch card system of connecting company
Typing.
9. the Elevator maintenance system as described in claim 1 based on the support of Internet of Things big data, it is characterised in that: the service
A database module is equipped in device, for realizing portion's elevator essential information, operating parameter by folder name of every elevator
The storage of data, fault data, mantenance data and maintenance record data.
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| CN201910489113.5A CN110171757B (en) | 2019-06-06 | 2019-06-06 | Elevator maintenance system based on Internet of things big data support |
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| CN201910489113.5A CN110171757B (en) | 2019-06-06 | 2019-06-06 | Elevator maintenance system based on Internet of things big data support |
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Cited By (15)
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| CN110371815A (en) * | 2019-07-04 | 2019-10-25 | 安徽中科福瑞科技有限公司 | A kind of on-demand maintenance system of elevator based on Internet of Things |
| 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 |
| CN110817635A (en) * | 2019-11-19 | 2020-02-21 | 亚洲富士电梯股份有限公司 | Elevator test system based on self-defined setting |
| CN111680806A (en) * | 2020-06-11 | 2020-09-18 | 河南财政金融学院 | Building equipment management system |
| CN111689328A (en) * | 2020-06-24 | 2020-09-22 | 重庆电子工程职业学院 | Intelligent elevator detection system |
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| CN112001335A (en) * | 2020-08-27 | 2020-11-27 | 武汉科技大学 | Interface system for evaluating unsafe behavior risk of subway passengers |
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| CN112299181A (en) * | 2020-11-25 | 2021-02-02 | 广东省特种设备检测研究院梅州检测院 | Elevator monitoring system based on Internet of things |
| CN113336036A (en) * | 2021-06-22 | 2021-09-03 | 云知声智能科技股份有限公司 | Elevator abnormity monitoring method, device, equipment, elevator and storage medium |
| 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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| CN114476890A (en) * | 2022-01-17 | 2022-05-13 | 凌波技术有限公司 | Non-contact elevator data acquisition method |
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| 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 |
| CN110817635A (en) * | 2019-11-19 | 2020-02-21 | 亚洲富士电梯股份有限公司 | Elevator test system based on self-defined setting |
| CN113716416A (en) * | 2020-05-26 | 2021-11-30 | 奥的斯电梯公司 | Machine learning based human activity detection and classification in first-person and third-person videos |
| CN113716416B (en) * | 2020-05-26 | 2023-05-02 | 奥的斯电梯公司 | Machine learning based human activity detection and classification in first person video and third person video |
| CN111680806A (en) * | 2020-06-11 | 2020-09-18 | 河南财政金融学院 | Building equipment management system |
| CN111874775A (en) * | 2020-06-12 | 2020-11-03 | 朱凯 | Elevator safety monitoring system based on big data |
| CN111689328A (en) * | 2020-06-24 | 2020-09-22 | 重庆电子工程职业学院 | Intelligent elevator detection system |
| CN112209193A (en) * | 2020-07-22 | 2021-01-12 | 上海城建职业学院 | Intelligent elevator system |
| CN112001335A (en) * | 2020-08-27 | 2020-11-27 | 武汉科技大学 | Interface system for evaluating unsafe behavior risk of subway passengers |
| CN111942974A (en) * | 2020-09-26 | 2020-11-17 | 百色学院 | Elevator group management system |
| CN112299181A (en) * | 2020-11-25 | 2021-02-02 | 广东省特种设备检测研究院梅州检测院 | Elevator monitoring system based on Internet of things |
| 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 |
| CN113336036A (en) * | 2021-06-22 | 2021-09-03 | 云知声智能科技股份有限公司 | Elevator abnormity monitoring method, device, equipment, elevator and storage medium |
| CN114476890A (en) * | 2022-01-17 | 2022-05-13 | 凌波技术有限公司 | Non-contact elevator data acquisition method |
| CN115650006A (en) * | 2022-10-24 | 2023-01-31 | 昆山广联发通信服务有限公司 | Elevator safety monitoring and early warning method and system based on big data |
| CN115650006B (en) * | 2022-10-24 | 2023-12-12 | 昆山广联发通信服务有限公司 | Elevator safety monitoring and early warning method and system based on big data |
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