CN112408142A - Elevator maintenance time decision system based on big data - Google Patents
Elevator maintenance time decision system based on big data Download PDFInfo
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- CN112408142A CN112408142A CN202011210031.1A CN202011210031A CN112408142A CN 112408142 A CN112408142 A CN 112408142A CN 202011210031 A CN202011210031 A CN 202011210031A CN 112408142 A CN112408142 A CN 112408142A
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- elevator
- module
- maintenance time
- big data
- system based
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0018—Devices monitoring the operating condition of the elevator system
- B66B5/0025—Devices monitoring the operating condition of the elevator system for maintenance or repair
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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
Abstract
The invention provides an elevator maintenance time judgment system based on big data, which comprises an acquisition module, an elevator communication module, a storage server, a judgment system and an alarm system, wherein the acquisition module is used for acquiring elevator maintenance time; the collecting module comprises an elevator use frequency module, an elevator hoisting rope collecting module, an elevator computer control panel collecting module, an elevator safety gear operation collecting module, an elevator steel wire lubrication collecting module and an elevator guide rail collecting module; the elevator communication module comprises a wireless transmitter and a wireless receiver matched with the wireless transmitter, and the acquisition module is electrically connected with the wireless transmitter through a wire; the storage server is electrically connected with the wireless transmitter; the judging system comprises a data analysis module, an image comparison judging module and a data comparison judging module; according to the elevator maintenance method and the elevator maintenance system, comprehensive analysis and comparison of the use condition of the elevator are realized according to the times of the elevator and the numerical values of the main components of the elevator, so that the maintenance time of the elevator is judged, and the use safety of the elevator is improved.
Description
Technical Field
The invention relates to the field of elevator maintenance, in particular to an elevator maintenance time judging system based on big data.
Background
The elevator is a vertical elevator powered by a motor, is provided with a box-shaped nacelle for carrying people or goods in a multi-story building, and is also of a step type, and a step plate is arranged on a track to continuously run, commonly called an escalator or a moving sidewalk. A fixed elevator apparatus for servicing a given floor, the vertical elevator having a car which runs between at least two vertical rows of rigid guide rails, the car being sized and configured to facilitate the ingress and egress of passengers or the handling of cargo.
In order to ensure the stability of the operation and the safety of the use of the elevator, the elevator needs to be maintained. With the rapid development of Chinese economy, the number of elevators is increasing. The frequency of use of different elevators is different usually, and the different time quantum elevator frequency of use is also inconsistent, so need be according to the elevator in service behavior, judge the time of the required maintenance of elevator, but at present take regular maintenance inspection to the elevator, every year regular fixed number of times detects, can't carry out the maintenance according to the specific frequency of use of elevator to reduce elevator safety in utilization.
Disclosure of Invention
Based on the technical problems in the background art, the invention provides an elevator maintenance time judging system based on big data, which can effectively solve the problem that the prior art can not carry out maintenance according to the specific use frequency of an elevator, thereby reducing the use safety of the elevator.
The elevator maintenance time judgment system based on the big data comprises an acquisition module, an elevator communication module, a storage server, a judgment system and an alarm system, wherein the acquisition module is used for acquiring the elevator maintenance time;
the collecting module comprises an elevator use frequency module, an elevator hoisting rope collecting module, an elevator computer control panel collecting module, an elevator safety gear operation collecting module, an elevator steel wire lubrication collecting module and an elevator guide rail collecting module;
the elevator communication module comprises a wireless transmitter and a wireless receiver matched with the wireless transmitter, and the acquisition module is electrically connected with the wireless transmitter through a wire;
the storage server is electrically connected with the wireless transmitter;
the judging system comprises a data analysis module, an image comparison judging module and a data comparison judging module, the data analysis module is respectively and electrically connected with the image comparison judging module and the data comparison judging module, and the judging system is electrically connected with the storage server.
Furthermore, the elevator hoisting rope acquisition module is a steel wire rope flaw detector; the steel wire rope flaw detector is arranged on the elevator hoisting rope and can detect and collect the fatigue and corrosion of the elevator hoisting rope.
Furthermore, the wire rope flaw detector detects the sensitivity of local damage of the elevator hoisting rope, the detection sensitivity of metal area loss, the indication error of metal sectional area loss and the linear error of metal sectional area loss of the wire rope.
Furthermore, the local damage sensitivity displays and detects the length of the elevator hoisting rope at a plurality of fractures and the corresponding reduction value of the metal unit volume;
the metal area loss detection sensitivity displays the length of the elevator hoisting rope at the multiple fractures and the corresponding metal sectional area reduction value;
the metal sectional area loss indication error displays the measuring range of the elevator hoisting rope, and a plurality of steel wires or steel bars are adopted;
and the linear error value of the loss of the metal cross-sectional area of the steel wire rope is displayed and detected on the length of the multi-length fracture of the elevator hoisting rope and the corresponding linear error value of the reduction value of the metal cross-sectional area.
Furthermore, the elevator safety gear operation acquisition module is a safety gear sensor; the safety gear sensor is arranged on the motor safety gear and used for detecting and collecting stress of the motor safety gear and locking of the emergency brake.
Furthermore, the safety gear sensor adopts a capacitance type pressure sensor, and the capacitance type pressure sensor detects the instant pressure value of the safety gear brake.
Furthermore, the elevator steel wire lubrication collection module is an oil level sensor; the oil level sensor is arranged in the elevator steel wire lubricating oil cylinder and used for collecting the amount of lubricating oil in the lubricating oil cylinder.
Furthermore, the oil level sensor adopts a capacitance type oil level sensor which detects the amount of lubricating oil in the lubricating oil cylinder.
Furthermore, the elevator guide rail acquisition module is a camera; the camera sets up in the elevator case outside, makes a video recording the collection to whole elevator guide rail.
According to the elevator maintenance method, comprehensive analysis and comparison of the use condition of the elevator are realized according to the times of the elevator and the numerical values of the main components of the elevator, so that the maintenance time of the elevator is judged, and the use safety of the elevator is improved.
Drawings
Fig. 1 is a schematic diagram of an embodiment of an elevator maintenance time determination system based on big data according to the present invention.
Detailed Description
Referring to fig. 1, the present invention provides a system for determining elevator maintenance time based on big data according to this embodiment, and referring to fig. 1: the elevator monitoring system comprises an acquisition module, an elevator communication module, a storage server, a judgment system and an alarm system;
the collecting module comprises an elevator use frequency module, an elevator hoisting rope collecting module, an elevator computer control panel collecting module, an elevator safety gear operation collecting module, an elevator steel wire lubrication collecting module and an elevator guide rail collecting module;
the elevator communication module comprises a wireless transmitter and a wireless receiver matched with the wireless transmitter, and the acquisition module is electrically connected with the wireless transmitter through a wire;
the storage server is electrically connected with the wireless transmitter;
the judging system comprises a data analysis module, an image comparison judging module and a data comparison judging module, wherein the data analysis module is respectively electrically connected with the image comparison judging module and the data comparison judging module, and the judging system is electrically connected with the storage server.
The elevator hoisting rope acquisition module is a steel wire rope flaw detector; the steel wire rope flaw detector is arranged on the elevator hoisting rope and can detect and collect the fatigue and corrosion of the elevator hoisting rope.
The steel wire rope flaw detector detects the local damage sensitivity of the elevator hoisting rope, the metal area loss detection sensitivity, the metal sectional area loss indication error and the steel wire rope metal sectional area loss linear error.
The method comprises the following steps of (1) displaying and detecting the length of a multi-long fracture of an elevator hoisting rope and a corresponding metal unit volume reduction value by local damage sensitivity;
the metal area loss detection sensitivity displays the length of the elevator hoisting rope at the multiple fractures and the corresponding metal sectional area reduction value;
the metal sectional area loss indication error displays the measuring range of the elevator hoisting rope, and a plurality of steel wires or steel bars are adopted;
the linear error value of the loss of the metal cross-sectional area of the steel wire rope is displayed and detected on the length of the multi-long fracture of the elevator hoisting rope and the corresponding linear error value of the reduction value of the metal cross-sectional area.
The elevator safety gear operation acquisition module is a safety gear sensor; the safety gear sensor is arranged on the motor safety gear and used for detecting and collecting stress of the motor safety gear and locking of the emergency brake.
The safety tongs sensor adopts a capacitance type pressure sensor which detects the instant pressure value of the safety tongs brake.
The elevator steel wire lubrication acquisition module is an oil level sensor; the oil level sensor is arranged in the elevator steel wire lubricating oil cylinder and used for collecting the amount of lubricating oil in the lubricating oil cylinder.
The oil level sensor adopts a capacitance type oil level sensor which detects the amount of lubricating oil in the lubricating oil cylinder.
The elevator guide rail acquisition module is a camera; the camera sets up in the elevator case outside, makes a video recording the collection to whole elevator guide rail.
The working principle is as follows: this collection module detects every day, and carry out data picture collection every 4h respectively, and upload the data picture, use number of times collection module through the elevator, from elevator inspection maintenance time back, use number of times and the live time to the elevator count, simultaneously through elevator towline collection module, elevator computer control panel collection module, elevator safety tongs operation collection module, elevator steel wire lubrication collection module and elevator guide rail collection module carry out real time monitoring, and gather elevator towline fatigue value, elevator computer control panel fault rate value, elevator safety tongs locking stress value, elevator lubricating oil place value and guide rail picture.
The method comprises the steps of transmitting the use times and the use time value, collecting the fatigue value of the hoisting rope of the elevator, the failure value of the computer control panel of the elevator, the locking stress value of the safety tongs of the elevator, the value of the lubricating oil level of the elevator and the picture of the guide rail through a wireless transmitter, and storing the collected values and the picture (recording the use times and the use time value, the collection fatigue value of the hoisting rope of the elevator, the failure value of the computer control panel of the elevator, the locking stress value of the safety tongs of the elevator, the value of the lubricating oil level of the elevator and the picture of the guide rail as the collected values and the.
Through the data analysis module, numerical value and the picture to the collection in the storage server carry out the analysis, gather numerical value and picture after the analysis again and contrast with big data, after wherein arbitrary a set of data is less than safe numerical value, judge that this elevator needs maintenance inspection, thereby its alarm system reports to the police, suggestion maintenance staff carries out timely maintenance to the elevator, and then the number of times and the numerical value of elevator major component according to the elevator, the realization is to the integrated analysis and the contrast of elevator in service behavior, judge the maintenance time of elevator then, improve elevator safety in utilization.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (9)
1. The utility model provides an elevator maintenance time decision system based on big data which characterized in that: the elevator monitoring system comprises an acquisition module, an elevator communication module, a storage server, a judgment system and an alarm system;
the collecting module comprises an elevator use frequency collecting module, an elevator hoisting rope collecting module, an elevator computer control panel collecting module, an elevator safety gear operation collecting module, an elevator steel wire lubrication collecting module and an elevator guide rail collecting module;
the elevator communication module comprises a wireless transmitter and a wireless receiver matched with the wireless transmitter, and the acquisition module is electrically connected with the wireless transmitter through a wire;
the storage server is electrically connected with the wireless transmitter;
the judging system comprises a data analysis module, an image comparison judging module and a data comparison judging module, wherein the data analysis module is respectively and electrically connected with the image comparison judging module and the data comparison judging module, and the judging system is electrically connected with the storage server;
the alarm system is electrically connected with the judgment system.
2. The elevator maintenance time determination system based on big data according to claim 1, characterized in that the elevator hoisting rope acquisition module is a wire rope flaw detector.
3. The elevator maintenance time judgment system based on big data according to claim 2, wherein the wire rope flaw detector detects the local damage sensitivity of the elevator hoisting rope, the metal area loss detection sensitivity, the metal cross-sectional area loss indication error and the wire rope metal cross-sectional area loss linearity error.
4. The elevator maintenance time judgment system based on big data according to claim 3, characterized in that the local damage sensitivity display detects the reduction value of the elevator hoisting rope in the length of the long fracture and the corresponding metal unit volume;
the metal area loss detection sensitivity displays the length of the elevator hoisting rope at the multiple fractures and the corresponding metal sectional area reduction value;
the metal sectional area loss indication error displays the measuring range of the elevator hoisting rope, and a plurality of steel wires or steel bars are adopted;
and the linear error value of the loss of the metal cross-sectional area of the steel wire rope is displayed and detected on the length of the multi-length fracture of the elevator hoisting rope and the corresponding linear error value of the reduction value of the metal cross-sectional area.
5. The elevator maintenance time determination system based on big data according to claim 1, characterized in that the elevator safety gear operation collection module is a safety gear sensor.
6. The elevator maintenance time judgment system based on the big data as claimed in claim 5, wherein the safety gear sensor is a capacitive pressure sensor, and the capacitive pressure sensor detects a pressure value at the moment of the safety gear brake.
7. The elevator maintenance time determination system based on big data according to claim 1, characterized in that the elevator wire lubrication collection module is an oil level sensor.
8. The elevator maintenance time determination system based on big data according to claim 6, wherein the oil level sensor is a capacitive oil level sensor, and the capacitive oil level sensor detects the amount of the lubricating oil in the lubricating oil cylinder.
9. The big data-based elevator maintenance time determination system according to claim 1, wherein the elevator guide rail collection module is a camera.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011210031.1A CN112408142A (en) | 2020-11-03 | 2020-11-03 | Elevator maintenance time decision system based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202011210031.1A CN112408142A (en) | 2020-11-03 | 2020-11-03 | Elevator maintenance time decision system based on big data |
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| CN112408142A true CN112408142A (en) | 2021-02-26 |
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| CN202011210031.1A Pending CN112408142A (en) | 2020-11-03 | 2020-11-03 | Elevator maintenance time decision system based on big data |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05178562A (en) * | 1991-12-13 | 1993-07-20 | Hitachi Ltd | Running guiding device for elevator |
| CN201395455Y (en) * | 2009-04-23 | 2010-02-03 | 新疆天山电梯制造有限公司 | Non-machinery room elevator |
| CN206767351U (en) * | 2017-05-13 | 2017-12-19 | 唐山市特种设备监督检验所 | Traction elevator maintenance maintenance device |
| CN208361637U (en) * | 2018-07-09 | 2019-01-11 | 宁波昌隆机电有限公司 | A kind of rope broken protector with stretching structure |
| CN109823932A (en) * | 2019-03-08 | 2019-05-31 | 辛格林电梯（中国）有限公司 | Active safety elevator |
-
2020
- 2020-11-03 CN CN202011210031.1A patent/CN112408142A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05178562A (en) * | 1991-12-13 | 1993-07-20 | Hitachi Ltd | Running guiding device for elevator |
| CN201395455Y (en) * | 2009-04-23 | 2010-02-03 | 新疆天山电梯制造有限公司 | Non-machinery room elevator |
| CN206767351U (en) * | 2017-05-13 | 2017-12-19 | 唐山市特种设备监督检验所 | Traction elevator maintenance maintenance device |
| CN208361637U (en) * | 2018-07-09 | 2019-01-11 | 宁波昌隆机电有限公司 | A kind of rope broken protector with stretching structure |
| CN109823932A (en) * | 2019-03-08 | 2019-05-31 | 辛格林电梯（中国）有限公司 | Active safety elevator |
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Application publication date: 20210226 |