CN112027839A - Elevator maintenance supervision system and method thereof - Google Patents

Elevator maintenance supervision system and method thereof Download PDF

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Publication number
CN112027839A
CN112027839A CN202010901273.9A CN202010901273A CN112027839A CN 112027839 A CN112027839 A CN 112027839A CN 202010901273 A CN202010901273 A CN 202010901273A CN 112027839 A CN112027839 A CN 112027839A
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China
Prior art keywords
maintenance
elevator
personnel
mobile terminal
big data
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CN202010901273.9A
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Chinese (zh)
Inventor
张未来
高升
赵旋
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Hangzhou Safer Information Technology Co ltd
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Hangzhou Safer Information Technology Co ltd
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Priority to CN202010901273.9A priority Critical patent/CN112027839A/en
Publication of CN112027839A publication Critical patent/CN112027839A/en
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0006Monitoring devices or performance analysers
    • B66B5/0018Devices monitoring the operating condition of the elevator system
    • B66B5/0025Devices monitoring the operating condition of the elevator system for maintenance or repair
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B66HOISTING; LIFTING; HAULING
    • B66BELEVATORS; ESCALATORS OR MOVING WALKWAYS
    • B66B5/00Applications of checking, fault-correcting, or safety devices in elevators
    • B66B5/0087Devices facilitating maintenance, repair or inspection tasks

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  • Maintenance And Inspection Apparatuses For Elevators (AREA)

Abstract

The invention relates to an elevator maintenance supervision system which comprises a plurality of tags, a mobile terminal and an intelligent terminal, wherein the tags are installed at each part of an elevator needing maintenance, the mobile terminal is used for reading tag information, the intelligent terminal is used for a user to use the system, the system also comprises an internet of things monitoring device, a maintenance camera and a big data analysis platform, and the internet of things monitoring device, the internet of things monitoring device and the intelligent terminal of the mobile terminal are all connected with the big data analysis platform through networks. The elevator maintenance process information is monitored by combining internet-of-things equipment and big data analysis; the maintenance control personnel actually execute maintenance operation; analyzing the elevator operation data and feeding back the maintenance effect of the elevator; analyzing big data of elevator operation data, and giving early warning prompt to elevator maintenance; the verification of the authenticity and the matching of software used by maintenance personnel is enhanced; the maintenance operation process carries out detailed control, and the maintenance quality is improved.

Description

Elevator maintenance supervision system and method thereof
Technical Field
The invention belongs to the field of elevator maintenance, and particularly relates to an elevator maintenance supervision system and method.
Background
With the rapid development of the urbanization construction in China, the elevator holding capacity also shows the rapid growth. The elevator is taken as a special vehicle to bring convenience to life and work of people, meanwhile, if the elevator is not maintained in place, great hidden dangers are brought to personal and property safety of people, and particularly in recent years, various accidents of the elevator are rare. According to statistics, nearly 70% of the causes of elevator accidents can be attributed to inadequate daily maintenance work of the elevator. The maintenance of the elevator is not in place, which is mainly caused by the weak responsibility and low technical level of maintenance personnel. In order to enhance the supervision of the maintenance work, many patents on maintenance supervision devices and methods have been proposed, such as adding various detectors, sensors, monitoring cameras, position switches, and the like. Although the measures can play a positive role in supervising the work of maintenance personnel, the modification is suspected theoretically because various devices need to be installed and wired in the original structure of the elevator, whether the installation and operation of the devices can generate so-called secondary hidden dangers for the safe operation of the elevator is not convincing and authoritative conclusion is not made, so that the measures are controversial, and as a result, the measures have few practical application cases. The effect of the maintenance work of the elevator depends on the responsibility of maintenance personnel and is also closely related to the technical level of the maintenance personnel. Due to the vicious competition of the elevator maintenance market, the loss of elevator maintenance personnel is serious, the experience and level of a plurality of maintenance personnel are difficult to ensure the operation state and problems of the maintenance personnel in the operation of each maintenance project of the elevator, and accurate judgment and solution are made, so that the accident potential is not eliminated in time, and finally the accident may be caused.
Therefore, the invention patent of CN105293236A with patent publication number discloses an elevator maintenance supervision system, which includes a plurality of NFC electronic tags installed at each part of an elevator to be maintained, and a mobile terminal for reading information of the NFC electronic tags, wherein the mobile terminal is connected with a server through a wireless network. The invention also discloses an elevator maintenance supervision method. The elevator maintenance monitoring system has the advantages of simple structure and capability of monitoring elevator maintenance work in real time.
However, the above patents have drawbacks:
1. the elevator maintenance process information cannot be monitored;
2. whether the maintenance personnel actually execute the maintenance operation cannot be controlled;
3. the maintenance effect of the elevator cannot be fed back without the support of the elevator operation data;
4. the operation data of the elevator is not analyzed by big data, and the maintenance of the elevator is prompted by early warning;
5. there is a lack of verification of the authenticity and match of the software used by the maintenance personnel.
Disclosure of Invention
In order to solve the problems, the invention provides an elevator maintenance supervision system and a method thereof, which can realize supervision on elevator maintenance process information by combining internet-of-things equipment and big data analysis; the maintenance control personnel actually execute maintenance operation; analyzing the elevator operation data and feeding back the maintenance effect of the elevator; analyzing big data of elevator operation data, and giving early warning prompt to elevator maintenance; the verification of the authenticity and the matching of the software used by the maintenance personnel is enhanced.
The technical scheme of the invention is as follows:
the utility model provides an elevator dimension protects supervisory systems, is including installing a plurality of labels at each need to maintain the maintenance position of elevator, being used for reading the mobile terminal of label information and supply the user to use this system's intelligent terminal, still includes thing networking monitoring facilities, dimension and protects camera, big data analysis platform, thing networking monitoring facilities, dimension and protect camera, mobile terminal and intelligent terminal all are connected with big data analysis platform through the network.
Preferably, thing networking monitoring facilities includes data acquisition device, ipc camera, door sensor, human infrared sensor, advertisement screen, data acquisition device sets up in the outside top of car, the top at the car is installed to the ipc camera, door sensor then installs at door district position, human infrared sensor installs at the inside top of car, the advertisement screen sets up on the inside lateral wall of car.
Preferably, the maintenance camera is arranged at the top of the interior of the car.
Preferably, the tags are distributed at elevator cars, machine rooms, hoistways and pit positions, and the tags are one of two-dimensional codes or NFC.
The invention also provides an elevator maintenance supervision method, which is characterized by comprising the following steps:
s1: according to national standards and local standards, making maintenance plans for different types of elevators;
s2: sending the maintenance plan to a mobile terminal of a maintenance worker;
s3: the method comprises the steps that a part needing maintenance of an elevator is entered according to the display of a mobile terminal, and the mobile terminal reads a label on the part needing maintenance to perform signature verification, longitude and latitude information and information of a shot picture with a watermark;
s4: maintenance personnel maintain the parts of the elevator needing maintenance according to the maintenance task;
s5: in the maintenance process, the big data analysis platform dynamically increases items in the maintenance task according to the historical data of elevator operation;
s6: and after the maintenance personnel complete the maintenance task, the maintenance personnel submit maintenance information to the big data analysis platform on the mobile terminal.
Preferably, in step S5, the big data platform further records elevator running state data through the internet of things monitoring device, and acquires the car maintenance video by calling the maintenance camera.
Preferably, the method also comprises the processes of carrying out face recognition and voice verification on the maintenance personnel and requiring to shoot on-site pictures and videos.
Preferably, the process of face recognition respectively occurs when a maintenance task is started, the maintenance task is ended, and a maintenance worker is required to perform personnel verification by randomly counting down in the maintenance process; the voice verification process is carried out when the maintenance personnel are required to carry out personnel verification by randomly counting down in the maintenance process, and the process of requiring to take the scene pictures and videos is carried out when the maintenance personnel are required to carry out personnel verification by randomly counting down in the maintenance process.
Preferably, the method further comprises the following steps:
s7: and the big data analysis platform analyzes according to the maintenance information submitted by the maintenance personnel, and comprises the analysis of elevator faults before and after maintenance and the statistical early warning of unqualified maintenance.
The invention has the beneficial effects that: the elevator maintenance process information is monitored by combining internet-of-things equipment and big data analysis; the maintenance control personnel actually execute maintenance operation; analyzing the elevator operation data and feeding back the maintenance effect of the elevator; analyzing big data of elevator operation data, and giving early warning prompt to elevator maintenance; the verification of the authenticity and the matching of software used by maintenance personnel is enhanced; the maintenance operation process carries out detailed control, and the maintenance quality is improved.
Drawings
Fig. 1 is a flowchart of a maintenance supervision method according to an embodiment of the present invention.
Detailed Description
The embodiments of the present invention will be described in detail below with reference to the accompanying drawings.
The embodiment of the invention provides an elevator maintenance supervision system which comprises a plurality of tags, a mobile terminal, an intelligent terminal, Internet of things monitoring equipment, a maintenance camera and a big data analysis platform, wherein the tags are installed at each part of an elevator needing maintenance, the intelligent terminal is used for reading tag information, and the intelligent terminal, the Internet of things monitoring equipment, the maintenance camera, the mobile terminal and the big data analysis platform are used by a user.
In one embodiment, the internet of things monitoring equipment comprises a data acquisition device, an ipc camera, a door sensor, a human body infrared sensor and an advertisement screen, wherein the data acquisition device is arranged at the top outside the car, the ipc camera is arranged at the top inside the car, the door sensor is arranged at the position of the door, the human body infrared sensor is arranged at the top inside the car, and the advertisement screen is arranged on the side wall inside the car.
In one embodiment, the tags are distributed in the elevator car, the machine room, the hoistway and the pit position, and the tags can use one of two-dimensional codes or NFC.
In one embodiment, the mobile terminal may use one or more of a smartphone, a PDA, and the smart terminal may use one or more of a computer, a smartphone, and a PDA.
In one embodiment, the maintenance camera is arranged at the top of the interior of the car, generally at the opposite angle of the door, so as to maximize the top view
As shown in fig. 1, an embodiment of the present invention further provides an elevator maintenance supervision method, which specifically includes:
1. and (5) making a maintenance plan.
Aiming at maintenance projects of different elevator types, on the basis of national standard of special equipment safety technical specification TSG T5002-2017 elevator maintenance rules, the increase of the maintenance projects is supported by each maintenance user according to the maintenance requirements of local standards.
The maintenance responsible person of each maintenance unit can enter the big data platform through the intelligent terminal to make the individual establishment of the unit maintenance task, and the operation supports the dynamic adjustment.
2. And starting the maintenance task.
And the mobile terminal of the maintenance personnel receives the maintenance task, performs face recognition on the mobile terminal to sign in and start the task, and signs in after the mobile terminal arrives at the site. Get into the elevator and need maintain the maintenance position according to mobile terminal's demonstration, mobile terminal reads and needs to maintain the label on the maintenance position, and this embodiment adopts NFC, carries out signature verification, longitude and latitude information and shoots the photo information of taking the watermark. The sign-in is performed by app software in the mobile terminal.
And entering a part needing maintenance of the elevator according to the display of the mobile terminal, and reading a label on the part needing maintenance by the mobile terminal to perform signature verification, longitude and latitude information and shooting information of a photo with a watermark. The longitude and latitude information is obtained through positioning of a mobile terminal with a gps network of a maintenance worker, and the maintenance worker cannot control the positioning by himself; the photo watermark is automatically overlapped by app software in the mobile terminal, and the maintenance personnel cannot operate the photo watermark by themselves. NFC is mainly used for controlling maintenance personnel to arrive each position and sign in, NFC contains certain encrypted data information inside and is used for verification, and the check-in can be carried out only after the verification is successful.
And maintenance personnel maintain the parts of the elevator needing maintenance according to the maintenance task.
The big data analysis platform analyzes and judges the elevator operation fatigue according to the elevator operation historical data (such as mileage, operation duration, steel wire rope bending times and the like), and dynamically increases maintenance inspection items to remind maintenance personnel to increase maintenance items on the early warning part.
And the maintenance personnel adjust the work content according to the dynamically adjusted maintenance task.
3. And finishing maintenance.
After the maintenance personnel complete the maintenance task, the human face verification ends the task and signs off, maintenance information is submitted to a big data analysis platform on the mobile terminal, and the big data analysis platform analyzes according to the maintenance information submitted by the maintenance personnel, wherein the analysis comprises the analysis of elevator faults before and after maintenance and the statistical early warning of unqualified maintenance items.
In one embodiment, in the implementation process of the maintenance task, a maintenance terminal of a maintenance worker randomly counts down to prompt face recognition verification or voice verification, and randomly counts down to prompt the maintenance worker to take a picture in the field or report video shooting information.
In one embodiment, in the maintenance process, the big data analysis platform records the running state data of the elevator through the monitoring equipment of the internet of things, and acquires the car maintenance video through calling the maintenance camera, so that a user can know the maintenance data condition of each item in real time, and the supervision effect is achieved.
In one embodiment, the mobile terminal is used for timing when the task is started, and the maintenance duration is less than 30 minutes, and then an early warning prompt is sent out.
In one embodiment, longitude and latitude information of the maintainer during sign-in and sign-out is collected by a mobile terminal of the maintainer, and the comparison of the longitude and latitude distances of the maintainer during sign-in and sign-out is carried out by calculating a distance value according to a Haverine formula.
In one embodiment, the whole process further includes a process of positioning the mobile terminal to track the work track of the maintenance staff.
Finally, it should be noted that: the above-mentioned embodiments are only specific embodiments of the present invention, which are used for illustrating the technical solutions of the present invention and not for limiting the same, and the protection scope of the present invention is not limited thereto, although the present invention is described in detail with reference to the foregoing embodiments, those skilled in the art should understand that: any person skilled in the art can modify or easily conceive the technical solutions described in the foregoing embodiments or equivalent substitutes for some technical features within the technical scope of the present disclosure; such modifications, changes or substitutions do not depart from the spirit and scope of the present invention in its spirit and scope. Are intended to be covered by the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.

Claims (9)

1. The utility model provides an elevator dimension guarantor supervisory systems, is including installing a plurality of labels at each maintenance position that needs of elevator, being used for reading the mobile terminal of label information and supply the user to use this system's intelligent terminal, its characterized in that still includes thing networking monitoring facilities, dimension guarantor camera, big data analysis platform, thing networking monitoring facilities, dimension guarantor camera, mobile terminal and intelligent terminal all are connected with big data analysis platform through the network.
2. The elevator maintenance supervision system according to claim 1, wherein the internet of things monitoring device comprises a data acquisition device, an ipc camera, a door sensor, a human body infrared sensor and an advertisement screen, the data acquisition device is arranged at the top outside the car, the ipc camera is arranged at the top inside the car, the door sensor is arranged at the position of a door area, the human body infrared sensor is arranged at the top inside the car, and the advertisement screen is arranged on the side wall inside the car.
3. The elevator maintenance supervision system according to claim 1, wherein the maintenance camera is arranged on top of the car interior.
4. The elevator maintenance supervision system according to claim 1, wherein the tags are distributed in elevator cars, machine rooms, hoistways and pit locations, and the tags are one of two-dimensional codes or NFC.
5. An elevator maintenance supervision method is characterized by comprising the following steps:
s1: according to national standards and local standards, making maintenance plans for different types of elevators;
s2: sending the maintenance plan to a mobile terminal of a maintenance worker;
s3: the method comprises the steps that a part needing maintenance of an elevator is entered according to the display of a mobile terminal, and the mobile terminal reads a label on the part needing maintenance to perform signature verification, longitude and latitude information and information of a shot picture with a watermark;
s4: maintenance personnel maintain the parts of the elevator needing maintenance according to the maintenance task;
s5: in the maintenance process, the big data analysis platform dynamically increases items in the maintenance task according to the historical data of elevator operation;
s6: and after the maintenance personnel complete the maintenance task, the maintenance personnel submit maintenance information to the big data analysis platform on the mobile terminal.
6. The elevator maintenance supervision method according to claim 5, wherein in the step S5, the big data platform further records elevator running state data through an Internet of things monitoring device, and acquires a car maintenance video by calling a maintenance camera.
7. The elevator maintenance supervision method according to claim 5, further comprising the process of face recognition, voice verification and taking of live pictures and videos for maintenance personnel.
8. The elevator maintenance supervision method according to claim 7, wherein the face recognition process occurs when a maintenance task is started, the maintenance task is ended, and a maintenance worker is required to perform personnel verification when the maintenance task is randomly counted down in the maintenance process; the voice verification process is carried out when the maintenance personnel are required to carry out personnel verification by randomly counting down in the maintenance process, and the process of requiring to take the scene pictures and videos is carried out when the maintenance personnel are required to carry out personnel verification by randomly counting down in the maintenance process.
9. The elevator maintenance supervision method according to claim 5, further comprising the steps of:
s7: and the big data analysis platform analyzes according to the maintenance information submitted by the maintenance personnel, and comprises the analysis of elevator faults before and after maintenance and the statistical early warning of unqualified maintenance.
CN202010901273.9A 2020-09-01 2020-09-01 Elevator maintenance supervision system and method thereof Pending CN112027839A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114538233A (en) * 2022-03-10 2022-05-27 阿特拉斯智能工程(南通)有限公司 Instrument manufacturing detection system based on big data

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6330935B1 (en) * 1998-01-09 2001-12-18 Kone Corporation Maintenance method for an elevator installation and elevator installation
CN103274272A (en) * 2013-06-20 2013-09-04 李天彤 Elevator integrated management system and elevator integrated management method
CN104444674A (en) * 2014-11-10 2015-03-25 深圳市汇川技术股份有限公司 Maintenance monitoring system and method based on Internet of Things of elevator
CN104925606A (en) * 2015-06-03 2015-09-23 成都纺织高等专科学校 Elevator maintenance and management system and method based on 4G network
CN105645209A (en) * 2016-03-03 2016-06-08 宁夏电通物联网科技股份有限公司 Maintenance system and maintenance method for elevators based on big data support of Internet of Things
CN206100061U (en) * 2016-08-26 2017-04-12 重庆市质量和标准化研究院 Supervisory systems is protected to elevator dimension based on internet of things
CN108466897A (en) * 2017-02-23 2018-08-31 无锡鸿廷科技有限公司 A kind of novel elevator management system
US20190077631A1 (en) * 2017-09-11 2019-03-14 Otis Elevator Company Maintenance trajectory tracing for elevator system

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6330935B1 (en) * 1998-01-09 2001-12-18 Kone Corporation Maintenance method for an elevator installation and elevator installation
CN103274272A (en) * 2013-06-20 2013-09-04 李天彤 Elevator integrated management system and elevator integrated management method
CN104444674A (en) * 2014-11-10 2015-03-25 深圳市汇川技术股份有限公司 Maintenance monitoring system and method based on Internet of Things of elevator
CN104925606A (en) * 2015-06-03 2015-09-23 成都纺织高等专科学校 Elevator maintenance and management system and method based on 4G network
CN105645209A (en) * 2016-03-03 2016-06-08 宁夏电通物联网科技股份有限公司 Maintenance system and maintenance method for elevators based on big data support of Internet of Things
CN206100061U (en) * 2016-08-26 2017-04-12 重庆市质量和标准化研究院 Supervisory systems is protected to elevator dimension based on internet of things
CN108466897A (en) * 2017-02-23 2018-08-31 无锡鸿廷科技有限公司 A kind of novel elevator management system
US20190077631A1 (en) * 2017-09-11 2019-03-14 Otis Elevator Company Maintenance trajectory tracing for elevator system

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114538233A (en) * 2022-03-10 2022-05-27 阿特拉斯智能工程(南通)有限公司 Instrument manufacturing detection system based on big data
CN114538233B (en) * 2022-03-10 2022-10-25 阿特拉斯智能工程(南通)有限公司 Instrument manufacturing detection system based on big data

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Application publication date: 20201204

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