CN109052089A - Implementation method based on big data elevator safety Support - Google Patents
Implementation method based on big data elevator safety Support Download PDFInfo
- Publication number
- CN109052089A CN109052089A CN201810953387.0A CN201810953387A CN109052089A CN 109052089 A CN109052089 A CN 109052089A CN 201810953387 A CN201810953387 A CN 201810953387A CN 109052089 A CN109052089 A CN 109052089A
- Authority
- CN
- China
- Prior art keywords
- elevator
- big data
- implementation method
- safety support
- water storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 28
- 238000001514 detection method Methods 0.000 claims abstract description 29
- 238000012360 testing method Methods 0.000 claims abstract description 23
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 37
- 239000000758 substrate Substances 0.000 claims description 11
- 238000012951 Remeasurement Methods 0.000 claims description 2
- 238000012423 maintenance Methods 0.000 abstract description 9
- 238000005516 engineering process Methods 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 6
- 230000006378 damage Effects 0.000 description 4
- 238000012545 processing Methods 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 3
- 230000005540 biological transmission Effects 0.000 description 3
- 230000005484 gravity Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 241001269238 Data Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 238000002347 injection Methods 0.000 description 1
- 239000007924 injection Substances 0.000 description 1
- 238000007689 inspection Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
Classifications
-
- 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
Landscapes
- Indicating And Signalling Devices For Elevators (AREA)
- Maintenance And Inspection Apparatuses For Elevators (AREA)
Abstract
The present invention relates to elevator safety maintenance technology fields, especially a kind of implementation method based on big data elevator safety Support, characterized by the following steps: step S01: point occurs for elevator faults in specified regional scope number information and geographical location information are acquired, big data is constructed；Step S02: the location information of acquisition is shown on map with dot, is irised out dot region range by ellipse；Step S03: by arranging that elevator detects operating point at oval both ends and oval central point；Step S04: according to the size in region, corresponding tester is arranged in each elevator detection operating point, and area and tester match；Step S05: tester wears test equipment and scene is gone to complete detection work according to the task of distribution.
Description
Technical field
The present invention relates to especially elevator safety maintenance technology field, especially a kind of big data elevator safety that is based on are tieed up
Protect the implementation method ensured.
Background technique
By the statistics of elevator maintenance big data, it is all caused by artificial destruction, by these electricity that elevator faults, which have 70%,
The analysis of terraced fault point, it has been found that if elevator is artificial destruction, elevator faults Shen will often occur in this point
Report and maintenance, analyze its reason, are exactly this region there is the use habit of so a kind of people or elevator are incorrect,
It is exactly that usual behavior is problematic, elevator can be destroyed.Therefore, the generation for how reducing these problems has been subjected to industry
Interior concern.
Big data can be understood as from a large amount of, incomplete, noisy, fuzzy, random real application data
In, extract that lie in therein, people ignorant in advance but be the application of the process of the information of potentially useful and knowledge,
It has become a kind of trend, is excavated by big data, can create immense value；However there is both sides, one
Aspect is how to utilize these big datas；It on the other hand is how to carry out data acquisition, and collect accurate data；Big data
Basis be data acquisition, in elevator detection field, elevator ride quality detection just includes that a variety of data acquire comprising inspection
Acceleration, deceleration, speed and the bounce when elevator is run under elevator no-load, different load-carryings, overload condition are surveyed, such as existing
EVA series elevator synthesis multiplies fortune mass detecting instrument, can moment to multiply fortune quality, speed, elevator positioning, acceleration, subtract
Speed, bounce and noise value, and analysis software is transferred to promptly to calculate conclusion；But existing detector is in the mistake of detection
There is following problems in journey: 1, elevator car tilts within the allowable range, and the data of test will generate error；2, elevator
Under different load conditions, needs to carry pouring weight to simulate carrying personnel, during detection, cause to spend very big manpower
It goes to carry these pouring weights；3, only record data, no intuitively operation waveform parameter are shown；4, need tester in elevator
The operating status and record of interior observation device, 5, can not free counterweight.
Summary of the invention
To solve the above problems, the object of the present invention is to provide a kind of realizations based on big data elevator safety Support
Method.
The present invention is realized using following scheme: a kind of implementation method based on big data elevator safety Support, special
Sign be the following steps are included:
Step S01: point occurs for elevator faults in specified regional scope number information and geographical location information are acquired, big number is constructed
According to；
Step S02: the location information of acquisition is shown on map with dot, by ellipse by dot region range circle
Out；
Step S03: by arranging that elevator detects operating point at oval both ends and oval central point；
Step S04: according to the size in region, corresponding tester, and area and test is arranged in each elevator detection operating point
Personnel's proportion；
Step S05: tester wears test equipment and scene is gone to complete detection work according to the task of distribution.
In an embodiment of the present invention, elliptical circle method is to obtain failure by cluster algorithm in the step S02
Occurrence frequency is higher than the regional scope of paricular value.
In an embodiment of the present invention, the step S01 is the number letter for acquiring the elevator faults generation point of previous year
Breath and geographical location information.
In an embodiment of the present invention, in the step S03 for major diameter less than 4 kilometers, minor axis is less than 2.5 kilometers
As long as elliptical central point be arranged an elevator detect operating point, and be equipped with two testing staff.
In an embodiment of the present invention, the test equipment in the step S05 is placed in the carriage of elevator, the test
Equipment includes a substrate, and the substrate surrounding is provided with an adjustable station foot, and elevator operation is provided in the substrate
Mass detecting instrument, there are four universal caster wheels for the base lower surface setting, and four universal caster wheels are located at adjustable station
In foot, the upper surface of base plate is provided with a water storage box, and the water storage box is Transparent color, indicates capacity on the water storage box side wall
Scale value, the top sidewall of the water storage box are provided with a water inlet pipe, and the bottom sidewall of the water storage box is provided with an outlet pipe,
The water storage box front end is provided with a hand-pushing handle.
In an embodiment of the present invention, detection work is completed in the step S05 includes:
Step S101: elevator is run to lowermost layer, elevator is opened, test equipment is pushed into elevator；
Step S102: regulation station foot, it is ensured that elevator ride quality detector is in a horizontal position；
Step S103: being discharged water by water inlet pipe toward water storage box, and according to containing mark value by water storage box water storage to specified numerical value；
Step S104: starting elevator realizes acquisition of the elevator ride quality detector to car movement data.
In an embodiment of the present invention, in the step S103, the specified numerical value be multiplied according to elevator remeasurement point by
Low to high setting.
In an embodiment of the present invention, further include that control elevator is raised to top from lowermost layer, then dropped to most from top
Low layer.
In an embodiment of the present invention, when the bottom starts elevator, being arranged in elevator uphill process will stop staff
Floor, after elevator is completed to rise, another staff is in attic, the building to be stopped when declining to elevator setting elevator
Layer.
It in an embodiment of the present invention, further include that the data of elevator ride quality detector acquisition upload to big data
System.
The beneficial effects of the present invention are: the present invention utilizes the analysis of big data, determine that the failure rate of point occurs for elevator faults,
Then the higher elliptic region in fault point is drawn by cluster algorithm, and in the center of gravity of elliptic region and both ends setting detection
Point, to reach the event for reducing artificial destruction elevator and the allotment for solving the problems, such as elevator mainte-nance personnel.In addition, the present invention passes through
Carrying personnel are simulated in water distribution, and then detect the operation data of elevator in the case of acquisition elevator difference counterweight, and can be by wirelessly
Network or the corresponding interface realize that data upload, and provide data basis for the subsequent big data elevator maintenance of elevator, not only solve
Existing elevator counterweight block simulation counterweight carries the problem of trouble, and can also accomplish that hand propelled shifts, and is adjustable own level
Position greatly improves the accuracy of acquisition elevator detection data, can detect big data for elevator and provide reliable hardware detection number
According to.
Detailed description of the invention
Fig. 1 is the method for the present invention flow diagram.
Fig. 2 is the schematic diagram that the embodiment of the present invention draws ellipse.
Fig. 3 is structural schematic diagram of the embodiment of the present invention.
Fig. 4 is use state diagram of the embodiment of the present invention.
Fig. 5 is station of embodiment of the present invention foot collapsed state schematic diagram.
Fig. 6 is schematic block circuit diagram of the embodiment of the present invention.
Specific embodiment
The present invention will be further described with reference to the accompanying drawing.
Referring to Figure 1 and Fig. 2, the present embodiment provides a kind of implementation method based on big data elevator safety Support,
Characterized by the following steps:
Step S01: point occurs for elevator faults in specified regional scope number information and geographical location information are acquired, big number is constructed
According to；
Step S02: the location information of acquisition is shown on map with dot, by ellipse by dot region range circle
Out；
Step S03: by arranging that elevator detects operating point at oval both ends and oval central point；
Step S04: according to the size in region, corresponding tester, and area and test is arranged in each elevator detection operating point
Personnel's proportion；
Step S05: tester wears test equipment and scene is gone to complete detection work according to the task of distribution.
In an embodiment of the present invention, elliptical circle method is to obtain failure by cluster algorithm in the step S02
Occurrence frequency is higher than the regional scope of paricular value.The elevator faults point distribution situation that the present invention utilizes big data to obtain, then utilizes
Add a central point to carry out test point layout with two endpoints of elliptic region, the generation of elevator man-made fault can be greatly reduced,
Also the coverage rate that detection can be promoted ensure that elevator multiplies the safety of fortune quality, refer to Fig. 2, and Fig. 2 is that big number is detected according to elevator
According to the failure null ellipse in Foochow region of acquisition.It will be clear that elliptical obtain can also be by event in map
The distribution situation for hindering point, draws ellipse, and the frequency size that fault point is broken down can be distinguished by the point of different colours,
The present invention is mainly the fault point distribution situation for utilizing big data to obtain, and to arrange detection maintenance point, is drawn with reduction ellipse
The incidence of circle regional scope internal fault.Implement by the present processes, in the range areas of implementation, the failure of elevator
Rate is substantially reduced.
Fig. 3, Fig. 4 and Fig. 5 are referred to, in the present embodiment, to cooperate the above method, the test equipment packet that testing staff uses
Elevator ride quality detector 1 is included, described device is placed in the carriage 2 of elevator, and described device includes a substrate 3, the base
3 surrounding of plate is provided with an adjustable station foot 4, the setting elevator ride quality detector 1, the base in the substrate 3
There are four universal caster wheels 5 for the setting of 3 lower surface of plate, and four universal caster wheels 5 are located in adjustable station foot 4, the substrate
Upper surface is provided with a water storage box 6, and the water storage box 6 is Transparent color, indicates containing mark value 7, institute on the water storage box side wall
The top sidewall for stating water storage box 6 is provided with a water inlet pipe 8, and the bottom sidewall of the water storage box 7 is provided with an outlet pipe 10, described
6 front end of water storage box is provided with a hand-pushing handle 9.
In an embodiment of the present invention, adjustable station foot screw is disposed on the substrate, adjustable station foot
Including a threaded rod 41, the bottom of the threaded rod is provided with a block 42, and a turntable 43 is provided at the top of the threaded rod.
In an embodiment of the present invention, the hand-pushing handle 9 includes two vertical bars 91, and two vertical bars are set to substrate
On, and it is located at the front of water storage box 6, fixed there are two fixed link 92 between two vertical bars, two 91 tops of vertical bars are consolidated
A " u "-shaped push handle 93 is provided between fixed pole.
Fig. 6 is referred to, in an embodiment of the present invention, the elevator ride quality detector includes having charge function
Power supply 11, central processing module 12 and the data transmission module 13 being connected with the central processing module 12, data deposit
Module 14, data acquisition module 15, touch display module 16 are stored up, the data acquisition module 15 is connected with signal sensing module
17, the signal sensing module 17 includes the 3-axis acceleration sensor 18 and three shaft angles being connected with data acquisition module 15
Rate gyroscope 19；The data transmission module include the GPRS wireless transport module 20 being connected with central processing module and
Usb circuit 21；In the present embodiment, the data transmission module can also include RJ45 interface circuit, TF interface circuit,
RS232 interface circuit etc.；The central processing module is DSP master controller.
When in use, as long as device is pushed into elevator by user, by standing, foot adjusts balance position, then into water storage box
Water filling, water injection rate can be matched according to elevator load weight, and this addresses the problem manual handling pouring weight and pouring weight specifications
Unmatched problem, and elevator ride quality detector is integrated on device, an entirety can be directly formed, it is big generous
Just the detection and acquisition of elevator data.In the present embodiment, which can be comprehensive using EVA-625 elevator
Running quality analyzer is not limited thereto system here.
Detection device of the invention simulates carrying personnel by water distribution, and then in the case of detection acquisition elevator difference counterweight
The operation data of elevator, and can realize that data upload by wireless network or the corresponding interface, it is the subsequent big data elevator of elevator
Maintenance provides data basis, and the configuration of the present invention is simple not only solves existing elevator counterweight block simulation counterweight and carries troublesome ask
Topic, and can also accomplish that hand propelled shifts, it is adjustable own level position, greatly improves the accurate of acquisition elevator detection data
Property, big data being detected for elevator, reliable hardware detection data are provided.
The present invention based on the analysis of big data, determines that the failure rate of point occurs for elevator faults, then by poly- in a word
Alanysis algorithm or the artificial frequency occurred according to fault point draw the higher elliptic region in fault point, and in elliptic region
Center of gravity and both ends be arranged test point, with reach reduce artificial destruction elevator event and solve elevator mainte-nance personnel allotment
Problem, in addition, the present invention in order to improve detection efficiency and obtain detection data reliability, it is also proposed that a kind of detection device,
As long as the device is sent to test point in test point by testing staff, can be operated as cart, it is not only high-efficient, but also
Avoid that variable weights in elevator weight bearing detection process are carried and (existing indicated weight is usually the problem of variable weights indicated weight limitation
100 jin, 50 jin, 25 jin, 10 jin, are all that integer can not accomplish random counterweight), detection effect is substantially increased in this way, and is operated
It is convenient.
The foregoing is merely presently preferred embodiments of the present invention, all equivalent changes done according to scope of the present invention patent with
Modification, is all covered by the present invention.
Claims (10)
1. a kind of implementation method based on big data elevator safety Support, it is characterised in that the following steps are included:
Step S01: point occurs for elevator faults in specified regional scope number information and geographical location information are acquired, big number is constructed
According to；
Step S02: the location information of acquisition is shown on map with dot, by ellipse by dot region range circle
Out；
Step S03: by arranging that elevator detects operating point at oval both ends and oval central point；
Step S04: according to the size in region, corresponding tester, and area and test is arranged in each elevator detection operating point
Personnel's proportion；
Step S05: tester wears test equipment and scene is gone to complete detection work according to the task of distribution.
2. the implementation method according to claim 1 based on big data elevator safety Support, it is characterised in that: described
Elliptical circle method is to obtain the regional scope that fault occurrence frequency is higher than paricular value by cluster algorithm in step S02.
3. the implementation method according to claim 1 based on big data elevator safety Support, it is characterised in that: described
Step S01 is the number information and geographical location information for acquiring the elevator faults generation point of previous year.
4. the implementation method according to claim 1 based on big data elevator safety Support, it is characterised in that: described
For major diameter less than 4 kilometers in step S03, as long as an elevator is arranged in elliptical central point less than 2.5 kilometers in minor axis
Operating point is detected, and is equipped with two testing staff.
5. the implementation method according to claim 1 based on big data elevator safety Support, it is characterised in that: described
Test equipment in step S05 is placed in the carriage of elevator, and the test equipment includes a substrate, and the substrate surrounding is all provided with
It is equipped with an adjustable station foot, is provided with an elevator ride quality detector in the substrate, the base lower surface is provided with
Four universal caster wheels, and four universal caster wheels are located in adjustable station foot, the upper surface of base plate is provided with a water storage
Case, the water storage box are Transparent color, and containing mark value, the top sidewall setting of the water storage box are indicated on the water storage box side wall
There is a water inlet pipe, the bottom sidewall of the water storage box is provided with an outlet pipe, and the water storage box front end is provided with a hand-pushing handle.
6. the implementation method according to claim 5 based on big data elevator safety Support, it is characterised in that: described
Detection work is completed in step S05 includes:
Step S101: elevator is run to lowermost layer, elevator is opened, test equipment is pushed into elevator；
Step S102: regulation station foot, it is ensured that elevator ride quality detector is in a horizontal position；
Step S103: being discharged water by water inlet pipe toward water storage box, and according to containing mark value by water storage box water storage to specified numerical value；
Step S104: starting elevator realizes acquisition of the elevator ride quality detector to car movement data.
7. the implementation method according to claim 6 based on big data elevator safety Support, it is characterised in that: described
In step S103, the specified numerical value is to multiply remeasurement point according to elevator to set from low to high.
8. the implementation method according to claim 7 based on big data elevator safety Support, it is characterised in that: also wrap
It includes control elevator and is raised to from lowermost layer top, then be preferably minimized layer from top.
9. the implementation method according to claim 8 based on big data elevator safety Support, it is characterised in that: work
The floor to be stopped in elevator uphill process is arranged when the bottom starts elevator in personnel, after elevator is completed to rise, another
Staff is in attic, the floor to be stopped when declining to elevator setting elevator.
10. the implementation method according to claim 1 based on big data elevator safety Support, it is characterised in that: also
Data including elevator ride quality detector acquisition upload to big data system.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810953387.0A CN109052089A (en) | 2018-08-21 | 2018-08-21 | Implementation method based on big data elevator safety Support |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810953387.0A CN109052089A (en) | 2018-08-21 | 2018-08-21 | Implementation method based on big data elevator safety Support |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109052089A true CN109052089A (en) | 2018-12-21 |
Family
ID=64686545
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810953387.0A Pending CN109052089A (en) | 2018-08-21 | 2018-08-21 | Implementation method based on big data elevator safety Support |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109052089A (en) |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202880604U (en) * | 2012-10-23 | 2013-04-17 | 杨华成 | Thing internet real-time monitoring system of elevator accidents |
| JP2014155150A (en) * | 2013-02-13 | 2014-08-25 | Sumitomo Electric Networks Inc | Elevator communication system |
| CN105277851A (en) * | 2015-10-16 | 2016-01-27 | 国网甘肃省电力公司天水供电公司 | Distribution network fault judgment searching and positioning system |
| CN107265230A (en) * | 2017-08-22 | 2017-10-20 | 刘永 | A kind of elevator safety supervises Internet of things system |
-
2018
- 2018-08-21 CN CN201810953387.0A patent/CN109052089A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN202880604U (en) * | 2012-10-23 | 2013-04-17 | 杨华成 | Thing internet real-time monitoring system of elevator accidents |
| JP2014155150A (en) * | 2013-02-13 | 2014-08-25 | Sumitomo Electric Networks Inc | Elevator communication system |
| CN105277851A (en) * | 2015-10-16 | 2016-01-27 | 国网甘肃省电力公司天水供电公司 | Distribution network fault judgment searching and positioning system |
| CN107265230A (en) * | 2017-08-22 | 2017-10-20 | 刘永 | A kind of elevator safety supervises Internet of things system |
Non-Patent Citations (1)
| Title |
|---|
| 赵灿香;: "酒店建筑节能管理" * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105293238B (en) | A kind of elevator health status detection method | |
| CN102874665B (en) | Method and device for accurately and quickly measuring escalator stopping distance | |
| CN103543393B (en) | The diagnostic method of a kind of combined electrical apparatus partial-discharge and detection system | |
| CN203561488U (en) | Gravity impact tester | |
| CN104568093A (en) | Multifunctional integrated rail weighbridge system | |
| CN208666826U (en) | The hand propelled elevator of cooperation big data elevator maintenance multiplies fortune quality comprehensive analytical equipment | |
| CN109179115A (en) | A kind of elevator ride quality detection system and detection method | |
| CN109052089A (en) | Implementation method based on big data elevator safety Support | |
| CN103345856A (en) | Hoisting machine operating personnel examination system | |
| CN108050970A (en) | A kind of crane brake downslide amount detection method and device | |
| CN104165676A (en) | Dynamic vehicle high-accuracy weighing method achieved in axle dynamic monitoring mode and axle set weighing mode | |
| CN207516050U (en) | Automobile multifunctional testing stand | |
| CN109761123A (en) | Environment composite monitoring device in lift car | |
| CN206172707U (en) | Elevator equilibrium coefficient detects system that uses | |
| CN109029353A (en) | A kind of off-highway vehicle travel route gradient measurer of going sightseeing | |
| CN208814435U (en) | The hardware system of elevator ride quality detection | |
| CN202420548U (en) | All-parameter intelligent verification and determination device for oiling machine | |
| CN209127816U (en) | A kind of detection device for tower elevator rope breaking test | |
| CN206362447U (en) | A kind of transformer vibration test system | |
| CN107826922B (en) | Elevator hydraulic buffer reset time measuring device and method | |
| CN102410862B (en) | Detecting device and detecting method for detecting height of liquid in extraction tower | |
| CN210689465U (en) | Plane measuring rod with self-balancing function | |
| CN107063294A (en) | A kind of motion state detection system of elevating fire truck arm support | |
| CN208059830U (en) | Vehicle-mounted road surface flaw detection system verifying attachment based on gravity Trapezoidal mechanism | |
| CN105277263A (en) | Machine cabinet weighing apparatus |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181221 |
|
| RJ01 | Rejection of invention patent application after publication |