CN111874775A - Elevator safety monitoring system based on big data - Google Patents
Elevator safety monitoring system based on big data Download PDFInfo
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- CN111874775A CN111874775A CN202010533167.XA CN202010533167A CN111874775A CN 111874775 A CN111874775 A CN 111874775A CN 202010533167 A CN202010533167 A CN 202010533167A CN 111874775 A CN111874775 A CN 111874775A
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- Prior art keywords
- elevator
- data
- database
- risk
- door
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B66—HOISTING; LIFTING; HAULING
- B66B—ELEVATORS; ESCALATORS OR MOVING WALKWAYS
- B66B5/00—Applications of checking, fault-correcting, or safety devices in elevators
- B66B5/02—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions
- B66B5/16—Braking or catch devices operating between cars, cages, or skips and fixed guide elements or surfaces in hoistway or well
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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
- B66B5/0031—Devices monitoring the operating condition of the elevator system for safety reasons
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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
- B66B5/04—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions for detecting excessive speed
- B66B5/06—Applications of checking, fault-correcting, or safety devices in elevators responsive to abnormal operating conditions for detecting excessive speed electrical
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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
- B66B5/28—Buffer-stops for cars, cages, or skips
Abstract
The invention discloses an elevator safety monitoring system based on big data, which comprises a data acquisition module, a data storage module and a data risk evaluation and analysis module, wherein the data acquisition module is used for acquiring data; the data acquisition module comprises an elevator basic information acquisition module and an elevator risk source data acquisition module, and the inspection data comprises nine risk systems including a door system, a car and counterweight system, a dragging and dragging system, an electrical and control system, a balance system, a guide system, a safety protection system, an elevator space and an operation test.
Description
Technical Field
The invention relates to the technical field of elevator safety maintenance, in particular to an elevator safety monitoring system based on big data.
Background
Big data is one of main development directions of new generation information technology, an elevator can form a series of data in the running process, the data has the characteristics of randomness and full coverage, sufficient mass data information can be obtained from elevator activities, rules can be found from the mass data information, the running mode, trend and correlation of the elevator are hidden in the data, future behaviors can be guided, the phenomenon of failure of a market regulation mechanism can be compensated, along with the increasing number of the elevators, historical inspection and maintenance data, original records of field inspection and qualified records of inspection are separately recorded into a database on the currently common data acquisition method, and the problems of low operation efficiency, low utilization rate of historical inspection information and maintenance information, inconvenience in information management and the like exist.
Disclosure of Invention
The invention aims to provide an elevator safety monitoring system based on big data aiming at the defects in the prior art.
The technical scheme for solving the problems comprises the following steps: an elevator safety monitoring system based on big data comprises a data acquisition module, a data storage module and a data risk assessment analysis module;
the data acquisition module comprises an elevator basic information acquisition module and an elevator risk source data acquisition module, the elevator basic information acquisition module acquires manufacturing units, maintenance units, installation units, inspection mechanisms, rated load capacity, rated speed, layers, manufacturing dates and main part data, the elevator risk source data acquisition module acquires inspection data, maintenance fault data, supervision and check data, accident data and safety part data, the inspection data comprises nine types of risk systems including a door system, a car and counterweight system, a dragging and dragging system, an electrical and control system, a balance system, a guide system, a safety protection system, an elevator space and an operation test, the elevator risk source data acquisition module acquires the inspection data in a timing acquisition mode, the elevator risk source data acquisition module is provided with a data interface, and the data interface is in communication connection with the data storage module in a TCP three-way handshake communication mode, after the data interface sends the data stream to the data storage module, the data storage module responds and responds, and the data interface confirms that the data interface and the data interface are in synchronous sending and receiving states, and connection is established;
the data storage module comprises an equipment list database, an equipment basic information database, an inspection data source database, a maintenance failure database, a supervision agency complaint database, a supervision spot check database, an accident survey database and an elevator safety component database, wherein the equipment basic information database, the inspection data source database, the maintenance failure database, the supervision agency complaint database, the supervision spot check database, the accident survey database and the elevator safety component database are respectively associated with the equipment list database;
the data risk assessment analysis module comprises a systematic risk early warning module, a systematic risk early warning threshold value definition module, a judgment module and a systematic risk early warning information releasing module;
the invention has the following beneficial effects:
the invention provides an elevator safety monitoring system based on big data, which determines nine risk systems related to the safe operation of an elevator, determines monitoring items for safety monitoring, defines the specific monitoring requirements, provides specific parameters for early warning analysis in the later period, utilizes the big data analysis, and implements monitoring on the safety of the elevator by the system according to the analysis of historical inspection data and accident case data at regular intervals, and has the advantages of high operation rate, high utilization rate of monitoring inspection information and maintenance information, and convenient and fast informatization management.
Detailed Description
The present invention will be further described with reference to the following embodiments.
An elevator safety monitoring system based on big data comprises a data acquisition module, a data storage module and a data risk assessment analysis module;
the data acquisition module comprises an elevator basic information acquisition module and an elevator risk source data acquisition module, the elevator basic information acquisition module acquires manufacturing units, maintenance units, installation units, inspection mechanisms, rated load capacity, rated speed, layer number, manufacturing date and main part data, the elevator risk source data acquisition module acquires inspection data, maintenance fault data, supervision and spot check data, accident data and safety component data, the inspection data comprises nine risk systems of a door system, a car and counterweight system, a dragging and dragging system, an electrical and control system, a balance system, a guide system, a safety protection system, an elevator space and an operation test, the door system comprises 7 risk parameters of an elevator door running device, an elevator door guide device, an automatic landing door closing device, an emergency unlocking device, door locking, door closing and door anti-collision; the lift car and counterweight system comprises 12 risk parameters including lift car top guardrails, a safety door, counterweight fixing, lift car area, nameplates and marks in the lift car, an emergency lighting and alarming device, sill foot protecting plates, safety tongs, a lift car frame, a lift car internal control box, a lift car bottom rubber pad and a vent hole; the dragging and dragging system comprises a driving host, a dragging wheel, a wheel groove, a braking device group installation, a braking device self-detection device, a speed limiter rope tensioning device, a buffer, manual emergency operation and 10 emergency electric operation risk parameters; the electrical and control system comprises a lighting and socket, a main switch, a grounding device, an electrical insulator, a limit switch, a traveling cable, a well lighting device, a safety contact of a safety protection device, a car top electrical device, a machine room-less elevator emergency operation and dynamic test device and 11 risk parameters of a machine room-less elevator additional overhaul control device; the balance system comprises 4 risk parameters of a suspension device, an end fixing device, a compensation device and a steel wire rope; the guide system comprises a guide rail, a guide rail bracket and 3 risk parameters of deviation of a guide rail working surface; the safety protection system comprises 10 risk parameters of fault phase protection, a car ascending overspeed protection device, protection in a shaft, rope loosening protection, a door clamping prevention protection device, a grass protection device, protection of a space below a counterweight, a pit facility and device, a pit space and protection of a rotating part; the elevator space comprises 18 risk parameters of a machine room channel, a channel door, special requirements of a machine room, a machine room safety space, a machine room ground opening, a well closing part, a traction driving elevator top space, a well safety door, a well access door, a distance between a car and a well wall, a distance between the car and a counterweight, a door knife, a door lock roller and sill gap, a door sill distance, a door gap, total requirements of a machine room-free elevator operation field, an operation field in the car on the top of the machine room-free elevator car, an operation field in a pit of the machine room-free elevator and an operation field on a machine room-free elevator platform; the operation tests comprise 12 risk parameters of a lift car ascending overspeed protection device test, an energy consumption buffer test, a lift car speed limiter safety gear linkage test, a counterweight speed limiter safety gear linkage test, a balance coefficient test, a no-load traction test, an operation test, a fire control return function test, an elevator speed, an ascending brake test, a descending brake test and a static traction force test;
the elevator risk source data acquisition module acquires inspection data in a timing acquisition mode, the elevator risk source data acquisition module is provided with a data interface, the data interface is in communication connection with the data storage module in a TCP three-way handshake communication mode, after the data interface sends data streams to the data storage module, the data storage module responds and answers, and the data interface confirms that the elevator risk source data acquisition module and the data storage module are in synchronous sending and receiving states and establishes connection;
the data storage module comprises an equipment list database, an equipment basic information database, an inspection data source database, a maintenance failure database, a supervision agency complaint database, a supervision spot check database, an accident survey database and an elevator safety component database, wherein the equipment basic information database, the inspection data source database, the maintenance failure database, the supervision agency complaint database, the supervision spot check database, the accident survey database and the elevator safety component database are respectively associated with the equipment list database;
the data risk assessment analysis module comprises a systematic risk early warning module, a systematic risk early warning threshold value definition module, a judgment module and a module for issuing systematic risk early warning information.
The invention determines 87 risk parameters of nine types of risk systems related to the safe operation of the elevator, determines the 87 risk parameters as monitoring items of safety monitoring, defines the specific monitoring requirements, provides specific parameters for early warning analysis in the later period, utilizes big data analysis, and implements monitoring on the safety of the elevator by the system according to the analysis of historical inspection data and accident case data, and has the advantages of high operation rate, high utilization rate of monitoring inspection information and maintenance information, and convenient and fast informatization management.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention in other forms, and any person skilled in the art may apply the above modifications or changes to the equivalent embodiments with equivalent changes, without departing from the technical spirit of the present invention, and any simple modification, equivalent change and change made to the above embodiments according to the technical spirit of the present invention still belong to the protection scope of the technical spirit of the present invention.
Claims (10)
1. The utility model provides an elevator safety monitoring system based on big data which characterized in that: the system comprises a data acquisition module, a data storage module and a data risk assessment analysis module;
the data acquisition module comprises an elevator basic information acquisition module and an elevator risk source data acquisition module, the elevator risk source data acquisition module acquires inspection data, maintenance fault data, supervision and spot check data, accident data and safety component data, and the inspection data comprises nine risk systems, namely a door system, a car and counterweight system, a dragging and dragging system, an electrical and control system, a balance system, a guide system, a safety protection system, an elevator space and an operation test;
the elevator risk source data acquisition module acquires inspection data in a timing acquisition mode, the elevator risk source data acquisition module is provided with a data interface, the data interface is in communication connection with the data storage module in a TCP three-way handshake communication mode, after the data interface sends data streams to the data storage module, the data storage module responds and answers, and the data interface confirms that the elevator risk source data acquisition module and the data storage module are in synchronous sending and receiving states and establishes connection;
the data storage module comprises an equipment list database, an equipment basic information database, an inspection data source database, a maintenance failure database, a supervision agency complaint database, a supervision spot check database, an accident survey database and an elevator safety component database, wherein the equipment basic information database, the inspection data source database, the maintenance failure database, the supervision agency complaint database, the supervision spot check database, the accident survey database and the elevator safety component database are respectively associated with the equipment list database;
the data risk assessment analysis module comprises a systematic risk early warning module, a systematic risk early warning threshold value definition module, a judgment module and a module for issuing systematic risk early warning information.
2. The big data based elevator safety monitoring system of claim 1, wherein: the door system comprises 7 risk parameters of an elevator door running device, an elevator door guide device, an automatic landing door closing device, an emergency unlocking device, door locking, door closing and door anti-collision.
3. The big data based elevator safety monitoring system of claim 1, wherein: the lift car and the counterweight system comprise lift car top guardrails, a safety door, a counterweight fixing device, a lift car area, a nameplate and a mark in the lift car, an emergency lighting and alarming device, sill foot protecting plates, safety tongs, a lift car frame, a lift car inner control box, a lift car bottom rubber pad and 12 risk parameters of ventilation holes.
4. The big data based elevator safety monitoring system of claim 1, wherein: the dragging and dragging system comprises a driving host, a dragging wheel, a wheel groove, a braking device group installation, a braking device self-detection device, a speed limiter rope tensioning device, a buffer, manual emergency operation and 10 emergency electric operation risk parameters.
5. The big data based elevator safety monitoring system of claim 1, wherein: the electrical and control system comprises a lighting and socket, a main switch, a grounding device, an electrical insulator, a limit switch, a traveling cable, a well lighting device, a safety contact of a safety protection device, a car top electrical device, a machine room-less elevator emergency operation and dynamic test device and 11 risk parameters of a machine room-less elevator additional overhaul control device.
6. The big data based elevator safety monitoring system of claim 1, wherein: the balance system comprises 4 risk parameters of a suspension device, an end fixing device, a compensation device and a steel wire rope.
7. The big data based elevator safety monitoring system of claim 1, wherein: the guide system comprises a guide rail, a guide rail bracket and 3 risk parameters of deviation of a guide rail working surface.
8. The big data based elevator safety monitoring system of claim 1, wherein: the safety protection system comprises 10 risk parameters of fault phase protection, car ascending overspeed protection device, protection in a well, rope loosening protection, protection device for preventing people from being clamped by a door, protection of grass on the protection device, protection of a heavy lower space, pit facilities and devices, pit space and rotating parts.
9. The big data based elevator safety monitoring system of claim 1, wherein: the elevator space includes computer lab passageway and passageway door, computer lab special requirement, computer lab safety space, computer lab ground opening, the well is sealed, tow drive elevator headspace, the well emergency exit, the well access door, car and well wall distance, the car with to heavy interval, the door sword, lock gyro wheel and sill clearance, door sill distance, door clearance, no computer lab elevator operation place total requirement, the operation place in the car on the computer lab elevator cab, the operation place in the no computer lab elevator pit, 18 risk parameters in the operation place on the no computer lab elevator platform.
10. The big data based elevator safety monitoring system of claim 1, wherein: the operation tests comprise 12 risk parameters of a car ascending overspeed protection device test, an energy consumption buffer test, a car speed limiter safety gear linkage test, a counterweight speed limiter safety gear linkage test, a balance coefficient test, an idle-load traction test, an operation test, a fire control return function test, an elevator speed test, an ascending braking test, a descending braking test and a static traction test.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010533167.XA CN111874775A (en) | 2020-06-12 | 2020-06-12 | Elevator safety monitoring system based on big data |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202010533167.XA CN111874775A (en) | 2020-06-12 | 2020-06-12 | Elevator safety monitoring system based on big data |
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| CN111874775A true CN111874775A (en) | 2020-11-03 |
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| CN202010533167.XA Pending CN111874775A (en) | 2020-06-12 | 2020-06-12 | Elevator safety monitoring system based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112777442A (en) * | 2021-02-03 | 2021-05-11 | 浙江新再灵科技股份有限公司 | Elevator safety region risk prediction method based on Internet of things big data |
| CN113526273A (en) * | 2021-07-09 | 2021-10-22 | 江苏维阳机电工程科技有限公司 | Fuzzy logic frequency conversion energy-saving control system for elevator |
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Application publication date: 20201103 |
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