CN110697531A - Elevator safety monitoring system based on artificial intelligence - Google Patents
Elevator safety monitoring system based on artificial intelligence Download PDFInfo
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- CN110697531A CN110697531A CN201910955056.5A CN201910955056A CN110697531A CN 110697531 A CN110697531 A CN 110697531A CN 201910955056 A CN201910955056 A CN 201910955056A CN 110697531 A CN110697531 A CN 110697531A
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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
- B66B5/0006—Monitoring devices or performance analysers
- B66B5/0037—Performance analysers
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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
- B66B5/0043—Devices enhancing safety during maintenance
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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 discloses an artificial intelligence-based elevator safety monitoring system in the field of elevator monitoring, which comprises an information acquisition unit, a signal transmission unit, an alarm unit, a positioning unit and a rescue unit which are arranged in an elevator, wherein the information acquisition unit, the alarm unit, the positioning unit and the rescue unit are all connected to a service platform through the signal transmission unit, the service platform comprises a data analysis unit and a fault early warning unit, and alarm information of the alarm unit and rescue information of the rescue unit are stored in the service platform. The elevator maintenance system can master the operation parameter data of the elevator, deeply analyzes and counts the past faults and maintenance history of each elevator through the data analysis unit, is convenient for maintenance personnel to learn the maintenance knowledge of the elevator, increases the understanding of the fault elevator in the maintenance process, and reduces the maintenance risk.
Description
Technical Field
The invention relates to the field of elevator monitoring, in particular to an elevator safety monitoring system based on artificial intelligence.
Background
The elevator is a modern transportation means, has been in people's life for more than 100 years so far, along with the rapid development of the economy of China and the enlargement of the urban scale, the increase of high-rise buildings, the elevator is also popularized and used therewith, and the elevator as a vertical transportation means brings convenience to people's work and life. However, there is a probability of failure and damage to any appliance, and failure and damage to an elevator is certainly a serious accident. In the existing solution, when the elevator breaks down, passengers trapped in the elevator ask for help through an alarm bell and property attendant in the elevator, and the attendant informs an elevator maintenance company to organize emergency rescue; when the elevator does not have a fault at ordinary times, the elevator is subjected to daily maintenance once every 15 days by an elevator maintenance company, and the operation condition is detected and recorded completely according to the field condition by experience, so that the occurrence of faults and damage accidents can be reduced and avoided to a certain extent, but the effect is not obvious. In recent years, with the continuous development of scientific technology, the national standard is continuously improved, the safety level of the elevator in China is rapidly improved, but the elevator accidents happen frequently in life.
The existing elevator safety monitoring system only judges whether the elevator breaks down in the running process by parameter information in the running process of the elevator, such as the running speed of the elevator. However, the fault reasons, the fault rate, the past maintenance experience and the like of the elevator cannot be analyzed and counted, when trapped people exist in the elevator, maintenance personnel need to take maintenance measures on site through maintenance experience to rescue the trapped people, the fault reasons and the maintenance process of most of elevators cannot be learned and known in an extending mode, and the past fault history of the elevator cannot be mastered.
Disclosure of Invention
Solves the technical problem
Aiming at the problems in the prior art, the invention provides an elevator safety monitoring system based on artificial intelligence, which can master the operation parameter data of an elevator, deeply analyze and count the past faults and maintenance history of each elevator through a data analysis unit, is convenient for maintenance personnel to learn the maintenance knowledge of the elevator, increases the understanding of the fault elevator in the maintenance process and reduces the maintenance risk.
Technical scheme
The invention is realized by the following technical scheme:
the utility model provides an elevator safety monitoring system based on artificial intelligence, is including installing information acquisition unit, signal transmission unit, alarm unit, positioning unit and the rescue unit in the elevator is inside, information acquisition unit, alarm unit, positioning unit and rescue unit all are connected to service platform through signal transmission unit, service platform includes data analysis unit and trouble early warning unit, alarm unit alarm information and rescue unit rescue information storage are in inside the service platform.
Furthermore, the service platform further comprises a rescue efficiency statistical unit, a fault frequency statistical unit, a fault reason analysis unit, a use frequency analysis unit and a maintenance information statistical unit which are all in data connection with the data analysis unit and the fault early warning unit.
Furthermore, the information acquisition unit is used for acquiring running signals inside the elevator and comprises a closed-loop current sensor, a car position and buffering limit switch, a Hall effect sensor, a secondary Hall effect sensor, a steel wire rope relaxation limit switch, a magnetic resistance sensor, a flat sensor, a static magnetic grid displacement sensor, a weighing sensor, a light curtain sensor, an encoder and a pulley rotation position detection sensor.
Furthermore, when the elevator breaks down, the information acquisition unit acquires the fault information of the elevator, transmits the fault information to the service platform through the signal transmission unit for display, and synchronously displays alarm information through the alarm unit; the weighing sensor detects the existence of personnel in the elevator, and the rescue unit displays rescue information under the condition that the personnel exist.
Further, the property department of elevator place is equipped with terminal APP, and the alarm information of elevator and the rescue information of rescue unit are beated at terminal APP backstage and are shown.
Furthermore, the geographic positions of the plurality of elevators are collected to the service platform through a positioning unit, the data analysis unit counts the alarm information and the maintenance information of all the elevators, and the failure reason of the elevators is subjected to prediction analysis through the failure early warning unit.
Advantageous effects
Compared with the known public technology, the technical scheme provided by the invention has the following beneficial effects:
the invention provides an elevator safety monitoring system based on artificial intelligence, which can master the operation parameter data of an elevator, deeply analyze and count the past faults and maintenance history of each elevator through a data analysis unit, facilitate maintenance personnel to learn the maintenance knowledge of the elevator, increase the understanding of the fault elevator in the maintenance process and reduce the maintenance risk.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a block diagram of the frame of the present invention;
FIG. 2 is a block diagram of elevator parameters collected by the information collection unit of the present invention;
fig. 3 is a block diagram of the data analysis unit of the present invention analyzing an elevator;
reference numbers in the figures: 1-an information acquisition unit; 2-a signal transmission unit; 3-a service platform; 4-an alarm unit; 5-a positioning unit; 6-a rescue unit; 7-a data analysis unit; 8-fault early warning unit.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the embodiments described are only a few embodiments of the present invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The present invention will be further described with reference to the following examples.
Embodiment 1, combine fig. 1, an elevator safety monitoring system based on artificial intelligence, including installing information acquisition unit 1, signal transmission unit 2, alarm unit 4, positioning unit 5 and rescue unit 6 in the elevator, information acquisition unit 1, alarm unit 4, positioning unit 5 and rescue unit 6 are all connected to service platform 3 through signal transmission unit 2, service platform 3 includes data analysis unit 7 and trouble early warning unit 8, alarm unit 4 alarm information and rescue unit 6 rescue information storage are inside service platform 3.
The invention collects the operation parameter data of the elevator through the information collection unit 1, when the elevator is in failure, the parameter data collected by the information collection unit 1 is wrong, the alarm unit 4 and the positioning unit 5 synchronously send alarm information to the service platform 3 through the signal transmission unit 2, the service platform 3 displays the position of the failed elevator, calls the past failure information and the maintenance information of the failed elevator, sends the same failure information and maintenance information to the maintenance personnel terminal APP, meanwhile, the service platform 3 calls the failure reason data of other elevators with the same failure information, the data analysis unit 7 analyzes the approximate reasons of the failure of the elevator and sends the same reasons to the maintenance personnel terminal APP, thereby facilitating the maintenance personnel to master the failure history and maintenance history of the failed elevator and learn the maintenance experience of other elevators, the success rate of maintaining the elevator is improved, and the time for maintaining the elevator is reduced.
Preferably, referring to fig. 3, the service platform 3 further includes a rescue efficiency statistical unit, a failure frequency statistical unit, a failure reason analysis unit, a use frequency analysis unit, and a maintenance information statistical unit, and are all in data connection with the data analysis unit 7 and the failure early warning unit 8. Every time when the elevator breaks down and is maintained, the information acquisition unit 1 acquires the running time, the stay time and the switching times of the elevator on each flat floor, summarizes the running time, the stay time and the switching times of the elevator and the fault information of the elevator, and counts the fault occurrence rate, the fault occurrence reason, the maintenance times, the rescue duration and the like of the elevator so as to improve the design and production of the elevator.
Preferably, referring to fig. 2, the information collecting unit 1 is used for collecting the running signal inside the elevator, and comprises a closed-loop current sensor, a frequency converter for controlling a motor inside the elevator; the car position and buffer limit switch is used for sensing the position of the car and sensing the stop of the car in advance; the Hall effect sensor and the secondary Hall effect sensor are used for sensing the position of the elevator door; the steel wire rope looseness limit switch is used for controlling the looseness of the steel wire rope; a magnetoresistive sensor for position sensing of the elevator car; the leveling sensor is used for sensing the position of a floor; the static magnetic grid displacement sensor is used for detecting the movement direction of the lift car and whether the lift car reaches the bottom position; a load cell for detecting a load of the elevator; the light curtain sensor is used for detecting whether foreign matters exist between the elevator doors; the system comprises an encoder, a controller and a controller, wherein the encoder is used for detecting the real-time position of the elevator in the hoistway and the running speed of the elevator; a pulley rotational position detection sensor.
Preferably, when the elevator breaks down, the information acquisition unit 1 acquires the fault information of the elevator, transmits the fault information to the service platform 3 through the signal transmission unit 2 for display, and synchronously displays alarm information through the alarm unit 4; the weighing sensor detects the existence of personnel in the elevator, and the rescue unit 6 displays rescue information under the condition that the personnel exist.
Preferably, the property place where the elevator is located is provided with a terminal APP, and the alarm information of the elevator and the rescue information of the rescue unit 6 are displayed in a jumping mode at a background of the terminal APP.
Preferably, the geographical positions of a plurality of elevators are collected to the service platform 3 through the positioning unit 5, the data analysis unit 7 counts the alarm information and the maintenance information of all the elevators, and the failure reason of the elevators is predicted and analyzed through the failure early warning unit 8.
The elevator maintenance system can master the operation parameter data of the elevator, deeply analyzes and counts the past faults and maintenance history of each elevator through the data analysis unit, is convenient for maintenance personnel to learn the maintenance knowledge of the elevator, increases the understanding of the fault elevator in the maintenance process, and reduces the maintenance risk.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not exhaustive or limiting of the specific embodiments of the invention. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (6)
1. The utility model provides an elevator safety monitoring system based on artificial intelligence which characterized in that: including installing information acquisition unit (1), signal transmission unit (2), alarm unit (4), positioning unit (5) and rescue unit (6) inside the elevator, information acquisition unit (1), alarm unit (4), positioning unit (5) and rescue unit (6) all are connected to service platform (3) through signal transmission unit (2), service platform (3) are including data analysis unit (7) and trouble early warning unit (8), alarm unit (4) alarm information and rescue unit (6) rescue information storage are in service platform (3) are inside.
2. The artificial intelligence based elevator safety monitoring system of claim 1, wherein: the service platform (3) further comprises a rescue efficiency statistical unit, a fault frequency statistical unit, a fault reason analysis unit, a use frequency analysis unit and a maintenance information statistical unit which are in data connection with the data analysis unit (7) and the fault early warning unit (8).
3. The artificial intelligence based elevator safety monitoring system of claim 1, wherein: the information acquisition unit (1) is used for acquiring running signals inside the elevator and comprises a closed-loop current sensor, a car position and buffering limit switch, a Hall effect sensor, a secondary Hall effect sensor, a steel wire rope relaxation limit switch, a magnetic resistance sensor, a flat sensor, a static magnetic grid displacement sensor, a weighing sensor, a light curtain sensor, an encoder and a pulley rotation position detection sensor.
4. The artificial intelligence based elevator safety monitoring system of claim 3, wherein: when the elevator breaks down, the information acquisition unit (1) acquires the fault information of the elevator, transmits the fault information to the service platform (3) through the signal transmission unit (2) for display, and synchronously displays alarm information through the alarm unit (4); the weighing sensor detects the existence of personnel in the elevator, and the rescue unit (6) displays rescue information under the condition that the personnel exist.
5. The artificial intelligence based elevator safety monitoring system of claim 4, wherein: the property department where the elevator is located is provided with a terminal APP, and the alarm information of the elevator and the rescue information of the rescue unit (6) are displayed in a jumping mode at a background of the terminal APP.
6. The artificial intelligence based elevator safety monitoring system of claim 1, wherein: the geographical positions of the plurality of elevators are collected to the service platform (3) through a positioning unit (5), and the data analysis unit (7) counts the alarm information and the maintenance information of all the elevators and carries out prediction analysis on the failure reasons of the elevators through a failure early warning unit (8).
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN201910955056.5A CN110697531A (en) | 2019-10-09 | 2019-10-09 | Elevator safety monitoring system based on artificial intelligence |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201910955056.5A CN110697531A (en) | 2019-10-09 | 2019-10-09 | Elevator safety monitoring system based on artificial intelligence |
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| CN110697531A true CN110697531A (en) | 2020-01-17 |
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| CN201910955056.5A Pending CN110697531A (en) | 2019-10-09 | 2019-10-09 | Elevator safety monitoring system based on artificial intelligence |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113307122A (en) * | 2021-05-20 | 2021-08-27 | 岑果 | Visual and remote control automatic device for elevator fault trapped people stopping position and horizontal floor people placing |
| CN114296000A (en) * | 2021-11-19 | 2022-04-08 | 上海信辰通信工程有限公司 | Power failure diagnosis system and method in wireless communication equipment |
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| JP2003312956A (en) * | 2002-04-23 | 2003-11-06 | Toshiba Elevator Co Ltd | Remote monitoring system for elevator |
| CN106966240A (en) * | 2017-04-01 | 2017-07-21 | 嘉世达电梯有限公司 | A kind of elevator remote monitoring system |
| CN108584598A (en) * | 2018-03-16 | 2018-09-28 | 广州市金度信息科技有限公司 | A kind of elevator faults automatically analyze and method for early warning, storage medium and intelligent terminal |
| CN109052086A (en) * | 2018-08-09 | 2018-12-21 | 成都烽火源信息技术有限公司 | A kind of elevator monitoring system and its method based on mobile terminal |
| CN109748169A (en) * | 2019-01-31 | 2019-05-14 | 嘉世达电梯有限公司 | A kind of Intelligent elevator monitoring system |
-
2019
- 2019-10-09 CN CN201910955056.5A patent/CN110697531A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2003312956A (en) * | 2002-04-23 | 2003-11-06 | Toshiba Elevator Co Ltd | Remote monitoring system for elevator |
| CN106966240A (en) * | 2017-04-01 | 2017-07-21 | 嘉世达电梯有限公司 | A kind of elevator remote monitoring system |
| CN108584598A (en) * | 2018-03-16 | 2018-09-28 | 广州市金度信息科技有限公司 | A kind of elevator faults automatically analyze and method for early warning, storage medium and intelligent terminal |
| CN109052086A (en) * | 2018-08-09 | 2018-12-21 | 成都烽火源信息技术有限公司 | A kind of elevator monitoring system and its method based on mobile terminal |
| CN109748169A (en) * | 2019-01-31 | 2019-05-14 | 嘉世达电梯有限公司 | A kind of Intelligent elevator monitoring system |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113307122A (en) * | 2021-05-20 | 2021-08-27 | 岑果 | Visual and remote control automatic device for elevator fault trapped people stopping position and horizontal floor people placing |
| CN114296000A (en) * | 2021-11-19 | 2022-04-08 | 上海信辰通信工程有限公司 | Power failure diagnosis system and method in wireless communication equipment |
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